public static DSClass Combine(DSClass a, DSClass b)
{
if(a.length != b.length)
{
Console.WriteLine("DSClass a and b not equal length.");
Console.ReadLine();
return null;
}
int n = a.length;
DSClass ds = new DSClass(n);
ds.m[0] = 0;
for (int i = 1; i < n; i++)
{
// for ds.m[i]
double x = 0;
double y = 0;
for (int j = 0; j < n; j++)
{
for (int k = 0; k < n; k++)
{
if ((j & k) == i)
x += a.m[j] * b.m[k];
if ((j & k) == 0)
y += a.m[j] * b.m[k];
}
}
ds.m[i] = x / (1 - y);
}
return ds;
}
public static DSClass CombineWithWeight(DSClass a, DSClass b, double weighta, double weightb)
{
if (a.length != b.length)
{
Console.WriteLine("DSClass a and b not equal length.");
Console.ReadLine();
return null;
}
int n = a.length;
DSClass ds = new DSClass(n);
for (int i = 0; i < n; i++)
{
ds.m[pow(i)] = a.m[pow(i)] * weighta + b.m[pow(i)] * weightb;
}
return ds;
}
static List<IOTEventTrustResult> DeduceModifyCommandMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a15_16, a17_20, a21, a6, a7, a17;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst != p.nodeId || p.pkg.Type != PacketType.COMMAND)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a15_16 = p.likehood; //likehood of receiving a packet at time p.start
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
a7 = 0.9 - a6;
a17_20 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_COMMAND,
node, p.start, p.start + global.sendPacketTimeout, p, ComparePhenomemonByExactTag);
List<IOTPhenomemon> similiarList = new List<IOTPhenomemon>();
a17 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_COMMAND,
node, p.start, p.start + global.sendPacketTimeout, p, similiarList, ComparePhenomemonBySimiliarTag);
a21 = SimiliarCommand(p, similiarList);
double b17 = DSClass.AND(a15_16, a17_20) * CF[(int)IOTEventType.NotModifyCommand];
double b18 = DSClass.AND(DSClass.AND(a15_16, a17), a21) * CF[(int)IOTEventType.ModifyCommandDueToNodeFaulty];
double b19 = DSClass.AND(DSClass.AND(a15_16, a17), a21) * CF[(int)IOTEventType.ModifyCommandMaliciously];
DSClass ds = new DSClass(pow(IOTModifyCommandEventType.END));
ds.SetM(pow(IOTModifyCommandEventType.NotModifyCommand), b17);
ds.SetM(pow(IOTModifyCommandEventType.ModifyCommandDueToNodeFaulty), b18);
ds.SetM(pow(IOTModifyCommandEventType.ModifyCommandDueToNodeFaulty), b19);
ds.SetM(pow(IOTModifyCommandEventType.END) - 1, 1 - b17 - b18 - b19);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTModifyCommandEventType.NotModifyCommand)] < global.NormalBelief
&& ds.p[pow(IOTModifyCommandEventType.NotModifyCommand)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.ModifyCommand, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
static List<IOTEventTrustResult> DeduceMakePacketMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach(IOTPhenomemon p in observedPhenomemons)
{
double a2, a24, a23, a22_10;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst == p.nodeId)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (global.readers[p.nodeId].IsGateway)
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a2 = p.likehood; //likehood of receiving a packet at time p.start
a24 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.RECV_PACKET, selfId, p.start - global.checkPhenomemonTimeout, p.start);
a23 = Inverse(a24);
a22_10 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SAME_PACKET_DATA, selfId, p.start, p.start + global.sendPacketTimeout, p.pkg);
double b8 = DSClass.AND(a2, a24) * CF[(int)IOTEventType.NotMakePacket];
double b9 =DSClass.AND(DSClass.OR(a23, a22_10), a2) * CF[(int)IOTEventType.MakePacketMaliciously];
DSClass ds = new DSClass(pow(IOTMakePacketEventType.END));
ds.SetM(pow(IOTMakePacketEventType.NotMakePacket), b8);
ds.SetM(pow(IOTMakePacketEventType.MakePacketMaliciously), b9);
ds.SetM(pow(IOTMakePacketEventType.END) - 1, 1 - b8 - b9);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTMakePacketEventType.NotMakePacket)] < global.NormalBelief
&& ds.p[pow(IOTMakePacketEventType.NotMakePacket)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.MakePacket, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
static List<IOTEventTrustResult> DeduceMakeCommandMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a20, a24, a5, a6, a7, a17, a23, a4;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.SEND_COMMAND)
continue;
else if (p.pkg.Dst != p.nodeId || p.pkg.Type != PacketType.COMMAND)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a17 = p.likehood; //likehood of receiving a packet at time p.start
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
//如果对带宽占用没有知识，则正反都设置为未知。
a4 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.BANDWIDTH_BUSY, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
a5 = 0.9 - a4;
a7 = 0.9 - a6;
List<IOTPhenomemon> similiarList = new List<IOTPhenomemon>();
a24 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_COMMAND,
node, p.start - global.sendPacketTimeout, p.start, p, similiarList, ComparePhenomemonBySimiliarTag);
a20 = SimiliarCommand(p, similiarList);
if (Utility.DoubleEqual(a20, global.SmallValue) || Utility.DoubleEqual(a24, global.SmallValue))
a23 = 0.9 - global.SmallValue;
else
a23 = Math.Max(a20, a24);
double b20 = DSClass.AND(DSClass.AND(a17, a20), a24) * CF[(int)IOTEventType.NotMakeCommand];
double b21 = DSClass.AND(DSClass.AND(DSClass.AND(17, a20), a23), a6) * CF[(int)IOTEventType.NotMakeCommandButMove];
double b22 = DSClass.AND(DSClass.AND(DSClass.AND(17, a20), a23), a4) * CF[(int)IOTEventType.NotMakeCommandButNetworkDelay];
double b23 = DSClass.AND(DSClass.AND(DSClass.AND(DSClass.AND(17, a20), a23), a5), a7) * CF[(int)IOTEventType.MakeCommandMaliciously];
DSClass ds = new DSClass(pow(IOTMakeCommandEventType.END));
ds.SetM(pow(IOTMakeCommandEventType.NotMakeCommand), b20);
ds.SetM(pow(IOTMakeCommandEventType.NotMakeCommandButNetworkDelay), b21);
ds.SetM(pow(IOTMakeCommandEventType.NotMakeCommandButNetworkDelay), b22);
ds.SetM(pow(IOTMakeCommandEventType.MakeCommandMaliciously), b23);
ds.SetM(pow(IOTMakeCommandEventType.END) - 1, 1 - b21 - b22 - b23);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTMakeCommandEventType.NotMakeCommand)] < global.NormalBelief
&& ds.p[pow(IOTMakeCommandEventType.NotMakeCommand)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.MakeCommand, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
static List<IOTEventTrustResult> DeduceDropPacketMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
if(Global.getInstance().debug)
Console.WriteLine("READER{0} Check DeduceDropPacketMaliciously", selfId);
IOTGlobal global = (IOTGlobal)Global.getInstance();
IOTReader selfNode = (IOTReader)global.readers[selfId];
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a1, a2, a3, a4, a5, a6, a7, a19, a27;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst == p.nodeId)
continue;
else if (p.pkg.Type != PacketType.DATA && p.pkg.Type != PacketType.COMMAND)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (global.readers[p.nodeId].IsGateway)
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a1 = p.likehood; //likehood of receiving a packet at time p.start
a2 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_PACKET, node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a3 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_PACKET, node, p.start, Scheduler.getInstance().currentTime, p.pkg);
a4 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.BANDWIDTH_BUSY, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
//如果对带宽占用没有知识，则正反都设置为未知。
a5 = 0.9 - a4;
//这里是否可以用平均值Average？
a6 = Utility.Max(new double[]{
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime),
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, p.pkg.Prev, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime),
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime)
});
a7 = 0.9 - a6;
//一个是观测节点和被观测节点的距离，看是否后者发送的消息能否被前者收到
//另一个是，看源节点发送的数据是否能被被观测节点收到
//a19 = Math.Max(FarDistanceLikehood(selfId, node, p.pkg.DstType==NodeType.OBJECT),
// FarDistanceLikehood(selfId, p.pkg.Prev, p.pkg.PrevType == NodeType.OBJECT));
//TODO,这里是不是有问题，false和true，在md项目中已修正
if(p.pkg.DstType == NodeType.OBJECT && selfNode.NearbyObjectCache.ContainsKey(p.pkg.Dst))
a19 = FarDistanceLikehood(selfId, node, false);
else
a19 = FarDistanceLikehood(selfId, node, true);
a27 = 0.9 - a19;
//A1 AND A2 AND A7 AND A11 -> B1
double b0 = DSClass.AND(a1, a2) * CF[(int)IOTEventType.NotDropPacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b1 = DSClass.AND(DSClass.AND(a1, a3), DSClass.OR(DSClass.OR(a4, a6), a19)) * CF[(int)IOTEventType.NotDropPacketButNotReceivePacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b2 = DSClass.AND(DSClass.AND(a1, a3), a4) * CF[(int)IOTEventType.DropPacketDueToBandwith];
//A1 AND A2 AND A7 AND A11 -> B1
double b3 = DSClass.AND(DSClass.AND(DSClass.AND(DSClass.AND(a1, a3), a5), a7), a27) * CF[(int)IOTEventType.DropPacketMaliciously];
if (global.debug)
{
Console.WriteLine("{0}->{1}:{2}", selfId, node, p.pkg.SrcSenderSeq);
Console.WriteLine("a1:" + a1);
Console.WriteLine("a2:" + a2);
Console.WriteLine("a3:" + a3);
Console.WriteLine("a4:" + a4);
Console.WriteLine("a5:" + a5);
Console.WriteLine("a6:" + a6);
Console.WriteLine("a7:" + a7);
Console.WriteLine("a19:" + a19);
Console.WriteLine("a27:" + a27);
Console.WriteLine("b0:" + b0);
Console.WriteLine("b1:" + b1);
Console.WriteLine("b2:" + b2);
Console.WriteLine("b3:" + b3);
}
DSClass ds = new DSClass(pow(IOTDropPacketEventType.END));
ds.SetM(pow(IOTDropPacketEventType.NotDropPacket), b0);
ds.SetM(pow(IOTDropPacketEventType.NotDropPacketButNotReceivePacket), b1);
ds.SetM(pow(IOTDropPacketEventType.DropPacketDueToBandwith), b2);
ds.SetM(pow(IOTDropPacketEventType.DropPacketMaliciously), b3);
ds.SetM(pow(IOTDropPacketEventType.END) - 1, 1 - b0 - b1 - b2 - b3);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTEventType.NotDropPacket) + pow(IOTEventType.NotDropPacketButNotReceivePacket)] < global.NormalBelief
&& ds.p[pow(IOTEventType.NotDropPacket) + pow(IOTEventType.NotDropPacketButNotReceivePacket)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.DropPacket, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
Console.WriteLine("{0:F4} reader{1} think reader{2} is not normal.", currentTime, selfId, p.nodeId);
if (global.debug)
{
r.ds.Output();
}
}
}
return list;
}
static List<IOTEventTrustResult> DeduceDropCommandMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a15_16, a17_20, a18_20, a19, a6, a7;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst != p.nodeId ||p.pkg.Type != PacketType.COMMAND)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a15_16 = p.likehood; //likehood of receiving a packet at time p.start
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
a7 = 0.9 - a6;
a17_20 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_COMMAND, node, p.start, p.start + global.sendPacketTimeout, p, ComparePhenomemonByExactTag);
a18_20 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_COMMAND, node, p.start, Scheduler.getInstance().currentTime, p.pkg);
//第三个参数是“数据包的目的地是否是标签”，由于命令的目的肯定是标签，所以永远为true
a19 = FarDistanceLikehood(selfId, node, true);
double b14 = DSClass.AND(a15_16, a17_20) * CF[(int)IOTEventType.NotDropCommand];
double b15 = DSClass.AND(DSClass.AND(a15_16, a18_20), DSClass.OR(a6, a19)) * CF[(int)IOTEventType.NotDropCommandButNotDetected];
double b16 = DSClass.AND(DSClass.AND(a15_16, a18_20), a7) * CF[(int)IOTEventType.DropCommandMaliciously];
DSClass ds = new DSClass(pow(IOTDropCommandEventType.END));
ds.SetM(pow(IOTDropCommandEventType.NotDropCommand), b14);
ds.SetM(pow(IOTDropCommandEventType.NotDropCommandButNotDetected), b15);
ds.SetM(pow(IOTDropCommandEventType.DropCommandMaliciously), b16);
ds.SetM(pow(IOTDropCommandEventType.END) - 1, 1 - b14 - b15 - b16);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTDropCommandEventType.NotDropCommand)] < global.NormalBelief
&& ds.p[pow(IOTDropCommandEventType.NotDropCommand)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.DropCommand, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
public IOTEventTrustResult(int node, int reportNode, string pkgIdent, IOTEventCategoryType category, DSClass ds)
{
this.node = node;
this.reportNode = reportNode;
this.ds = ds;
this.category = category;
this.eventIdent = pkgIdent+"-"+category;
//TODO app
confirmBeliefThrehold = new Dictionary<IOTEventType, double>();
confirmBeliefThrehold[IOTEventType.DropPacketMaliciously] = 0.3;
confirmBeliefThrehold[IOTEventType.DropCommandMaliciously] = 0.3;
}
static List<IOTEventTrustResult> DeduceDropPacketMaliciously(int selfId, List<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
for (int i = 0; i < observedPhenomemons.Count; i++)
{
double a1, a2, a3, a4, a5, a6, a7;
IOTPhenomemon p = observedPhenomemons[i];
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst == p.nodeId)
continue;
int node = p.nodeId;
eventCount[node]++;
a1 = p.likehood; //likehood of receiving a packet at time p.start
a2 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_PACKET, node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a3 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_PACKET, node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a4 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.BANDWIDTH_BUSY, selfId, p.start - global.checkPhenomemonTimeout, p.start + global.checkPhenomemonTimeout);
//如果对带宽占用没有知识，则正反都设置为未知。
if (Utility.DoubleEqual(a4, global.SmallValue))
a5 = global.SmallValue;
else
a5 = 0.9 - a4;
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, p.start + global.checkPhenomemonTimeout);
if (Utility.DoubleEqual(a6, global.SmallValue))
a7 = global.SmallValue;
else
a7 = 0.9 - a6;
//A1 AND A2 AND A7 AND A11 -> B1
double b0 = DSClass.AND(a1, a2) * CF[(int)IOTEventType.NotDropPacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b1 = DSClass.AND(DSClass.AND(a1, a3), DSClass.OR(a4, a5)) * CF[(int)IOTEventType.NotDropPacketButNotReceivePacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b2 = DSClass.AND(DSClass.AND(a1, a3), a4) * CF[(int)IOTEventType.DropPacketDueToBandwith];
//A1 AND A2 AND A7 AND A11 -> B1
double b3 = DSClass.AND(DSClass.AND(DSClass.AND(a1, a3), a5), a7) * CF[(int)IOTEventType.DropPacketMaliciously];
DSClass ds = new DSClass(pow(IOTDropPacketEventType.END));
ds.SetM(pow(IOTDropPacketEventType.NotDropPacket), b0);
ds.SetM(pow(IOTDropPacketEventType.NotDropPacketButNotReceivePacket), b1);
ds.SetM(pow(IOTDropPacketEventType.DropPacketDueToBandwith), b2);
ds.SetM(pow(IOTDropPacketEventType.DropPacketMaliciously), b3);
ds.SetM(pow(IOTDropPacketEventType.END) - 1, 1 - b0 - b1 - b2 - b3);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTEventType.NotDropPacket)] < global.NormalBelief
|| ds.p[pow(IOTEventType.NotDropPacket)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "-" + p.pkg.Next + global.PacketSeq;
IOTEventTrustResult r = new IOTEventTrustResult(node, pkgIdent, IOTEventCategoryType.DropPacket, ds);
r.totalCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
//根据节点事件的类型来推导节点的可信度
static IOTNodeTrustResult DeduceNodeTrustByCategories(int node, int app, HashDSClass hashedCaterogies, int[] confirmedCount, int[] totalCount)
{
IOTGlobal global = (IOTGlobal)IOTGlobal.getInstance();
IOTNodeTrustResult nodeTrust = new IOTNodeTrustResult(node, app);
double c1 = DSClass.OR(hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.NotDropPacket)),
hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.NotModifyPacket))); //Normal
double c2 = DSClass.OR(hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.NotDropPacketButNotReceivePacket)),
hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.ModifyPacketDueToNodeFaulty))); //Node faulty
double c3 = DSClass.OR(hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.DropPacketDueToBandwith)),
hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.NotModifyPacketButNetworkFaulty))); //Env faulty
double c4 = DSClass.OR(hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.DropPacketMaliciously)),
hashedCaterogies.GetM(IOTEventTrust.pow(IOTEventType.ModifyPacketMaliciously))); //Maliciously
DSClass ds = new DSClass(pow(IOTNodeType.COUNT));
ds.SetM(DSClass.pow((int)IOTNodeType.NORMAL), c1);
ds.SetM(DSClass.pow((int)IOTNodeType.NODE_FAULTY), c2);
ds.SetM(DSClass.pow((int)IOTNodeType.ENV_FAULTY), c3);
ds.SetM(DSClass.pow((int)IOTNodeType.MALICIOUS), c4);
ds.Normalize();
ds.Cal();
nodeTrust.ds = ds;
for (int i = 0; i < totalCount.Length; i++)
{
IOTEventCategoryType categoryType = (IOTEventCategoryType)i;
int start = IOTEventTrustResult.GetStartTypeByCategory(categoryType);
int count = IOTEventTrustResult.GetCountByCategory(categoryType);
for (int j = 0; j < count; j++)
{
int iType = start + j;
IOTEventType eventType = (IOTEventType)iType;
int confirmed = confirmedCount[iType];
if (!nodeTypeMapping.ContainsKey(eventType))
throw new Exception("No such a event type defined");
if (totalCount[i] == 0)
continue;
nodeTrust.confirmed[(int)nodeTypeMapping[eventType]] += confirmed;
if (ds.b[DSClass.pow(iType)] > global.BeliefThrehold && ds.p[DSClass.pow(iType)] > global.PlausibilityThrehold)
nodeTrust.confirmedRate[iType] = (double)confirmed / totalCount[i];
}
}
return nodeTrust;
}
static IOTEventTrustCategoryResult CombineToCategory(int node, string ident, IOTEventCategoryType category, List<IOTEventTrustResult> events)
{
IOTEventTrustResult e0 = events[0];
int len = e0.ds.m.Length;
int app = e0.app;
DSClass ds = null;
IOTEventTrustCategoryResult r = new IOTEventTrustCategoryResult(node, app, category, null);
int categoryCount = IOTEventTrustResult.GetCountByCategory(category);
foreach (IOTEventTrustResult e in events)
{
if (e.app != e0.app || e.node != e0.node || e.category != e0.category)
throw new Exception(string.Format(
"Error: app and node not match: {0}-{1}->{2}-{3}", e0.app, e0.node, e.app, e.node));
}
//先计算归一化因子
int totalweight = 0;
double[] weights = new double[events.Count];
foreach (IOTEventTrustResult e in events)
{
totalweight += e.nodeReportCount;
}
//调整权重
DSClass[] d = new DSClass[events.Count];
for (int i = 0; i < events.Count; i++)
{
weights[i] = (double)events[i].nodeReportCount / totalweight;
d[i] = events[i].ds;
}
//进行正交运算
ds = DSClass.CombineWithWeight(d, weights);
//计算每种类型在总的事件中确认的比例
ds.Normalize();
ds.Cal();
r.ds = ds;
foreach (IOTEventTrustResult e in events)
{
for (int i = 0; i < categoryCount; i++)
{
IOTEventType type = (IOTEventType)i;
/*
if (!IOTEventTrustResult.confirmBeliefThrehold.ContainsKey(type))
continue;
double rateThrehold = IOTEventTrustResult.confirmBeliefThrehold[type];
**/
IOTGlobal global = (IOTGlobal)IOTGlobal.getInstance();
double beliefThrehold = global.BeliefThrehold;
double plausibilityThrehold = global.PlausibilityThrehold;
int offset = IOTEventTrustResult.GetOffsetByCategory(e.category, type);
////计算某类型的事件发生的次数，前提是该事件正交结果可能是发生的
if (e.ds.b[DSClass.pow(offset)] > beliefThrehold
&& e.ds.p[DSClass.pow(offset)] > plausibilityThrehold
//&& ds.b[DSClass.pow(offset)] > beliefThrehold
//&& ds.p[DSClass.pow(offset)] > plausibilityThrehold
)
r.confirmedEventNums[i]++;
}
if (e.totalEventCount > r.totalEventCount)
r.totalEventCount = e.totalEventCount;
}
return r;
}
public static DSClass CombineWithWeight(DSClass[] d, double[] weights)
{
int n = d[0].length;
DSClass ds = new DSClass(n);
for (int i = 0; i < d.Length;i++ )
{
DSClass ds1 = d[i];
double w = weights[i];
if (ds1.length != n)
throw new Exception("ds length not equal.");
for (int j = 0; j < ds1.length; j++)
ds.m[j] += ds1.m[j] * w;
}
return ds;
}
static List<IOTEventTrustResult> DeduceDropPacketMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a1, a2, a3, a4, a5, a6, a7, a19, a27;
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst == p.nodeId)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (global.readers[p.nodeId].IsGateway)
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a1 = p.likehood; //likehood of receiving a packet at time p.start
a2 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_PACKET, node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a3 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_PACKET, node, p.start, Scheduler.getInstance().currentTime, p.pkg);
a4 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.BANDWIDTH_BUSY, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
//如果对带宽占用没有知识，则正反都设置为未知。
a5 = 0.9 - a4;
a6 = Utility.Max(new double[]{
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime),
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, p.pkg.Prev, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime),
ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime)
});
a7 = 0.9 - a6;
a19 = Math.Max(FarDistanceLikehood(selfId, node, p.pkg.DstType==NodeType.OBJECT),
FarDistanceLikehood(selfId, p.pkg.Prev, false));
a27 = 0.9 - a19;
//A1 AND A2 AND A7 AND A11 -> B1
double b0 = DSClass.AND(a1, a2) * CF[(int)IOTEventType.NotDropPacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b1 = DSClass.AND(DSClass.AND(a1, a3), DSClass.OR(DSClass.OR(a4, a6), a19)) * CF[(int)IOTEventType.NotDropPacketButNotReceivePacket];
//A1 AND A2 AND A7 AND A11 -> B1
double b2 = DSClass.AND(DSClass.AND(a1, a3), a4) * CF[(int)IOTEventType.DropPacketDueToBandwith];
//A1 AND A2 AND A7 AND A11 -> B1
double b3 = DSClass.AND(DSClass.AND(DSClass.AND(DSClass.AND(a1, a3), a5), a7), a27) * CF[(int)IOTEventType.DropPacketMaliciously];
DSClass ds = new DSClass(pow(IOTDropPacketEventType.END));
ds.SetM(pow(IOTDropPacketEventType.NotDropPacket), b0);
ds.SetM(pow(IOTDropPacketEventType.NotDropPacketButNotReceivePacket), b1);
ds.SetM(pow(IOTDropPacketEventType.DropPacketDueToBandwith), b2);
ds.SetM(pow(IOTDropPacketEventType.DropPacketMaliciously), b3);
ds.SetM(pow(IOTDropPacketEventType.END) - 1, 1 - b0 - b1 - b2 - b3);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTEventType.NotDropPacket) + pow(IOTEventType.NotDropPacketButNotReceivePacket)] < global.NormalBelief
&& ds.p[pow(IOTEventType.NotDropPacket) + pow(IOTEventType.NotDropPacketButNotReceivePacket)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.DropPacket, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
Console.WriteLine("{0:F4} reader{1} think reader{2} is not normal.", currentTime, selfId, p.nodeId);
//r.ds.Output();
}
}
return list;
}
static List<IOTEventTrustResult> DeduceModifyPacketMaliciously(int selfId, HashSet<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
foreach (IOTPhenomemon p in observedPhenomemons)
{
double a1, a2, a3, a4, a6, a8_9;
if(p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst == p.nodeId)
continue;
else if (selfId == p.nodeId)//自己不检查自己的可信度
continue;
else if (global.readers[p.nodeId].IsGateway)
continue;
else if (currentTime - p.start < global.checkPhenomemonTimeout)
continue;
int node = p.nodeId;
eventCount[node]++;
a1 = p.likehood; //likehood of receiving a packet at time p.start
a2 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_PACKET, node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a3 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_PACKET, node, p.start, Scheduler.getInstance().currentTime, p.pkg);
a4 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.BANDWIDTH_BUSY, selfId, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST, node, p.start - global.checkPhenomemonTimeout, Scheduler.getInstance().currentTime);
a8_9 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SAME_PACKET_HEADER, selfId, p.start, p.start + global.sendPacketTimeout, p.pkg);
double b4 = DSClass.AND(a1, a2) * CF[(int)IOTEventType.NotModifyPacket];
double b5 = DSClass.AND(DSClass.AND(DSClass.AND(a1, a3), a8_9), a4) * CF[(int)IOTEventType.NotModifyPacketButNetworkFaulty];
double b6 = DSClass.AND(DSClass.AND(a1, a3), a8_9) * CF[(int)IOTEventType.ModifyPacketDueToNodeFaulty];
double b7 = DSClass.AND(DSClass.AND(a1, a3), a8_9) * CF[(int)IOTEventType.ModifyPacketMaliciously];
DSClass ds = new DSClass(pow(IOTModifyPacketEventType.END));
ds.SetM(pow(IOTModifyPacketEventType.NotModifyPacket), b4);
ds.SetM(pow(IOTModifyPacketEventType.NotModifyPacketButNetworkFaulty), b5);
ds.SetM(pow(IOTModifyPacketEventType.ModifyPacketDueToNodeFaulty), b6);
ds.SetM(pow(IOTModifyPacketEventType.ModifyPacketMaliciously), b7);
ds.SetM(pow(IOTModifyPacketEventType.END) - 1, 1 - b4 - b5 - b6 - b7);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTModifyPacketEventType.NotModifyPacket)] < global.NormalBelief
&& ds.p[pow(IOTModifyPacketEventType.NotModifyPacket)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "->" + p.pkg.Next + "[" + p.pkg.PrevSenderSeq + "]";
IOTEventTrustResult r = new IOTEventTrustResult(node, selfId, pkgIdent, IOTEventCategoryType.ModifyPacket, ds);
r.totalEventCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
public IOTNodeTrustResult(int node, int org)
{
this.nodeId = node;
this.orgId = org;
this.ds = null;
this.confirmed = new int[(int)IOTNodeType.COUNT];
this.confirmedRate = new double[(int)IOTEventType.COUNT];
}
public IOTEventTrustCategoryResult(int node, int app, IOTEventCategoryType category, DSClass ds)
{
this.node = node;
this.ds = ds;
this.category = category;
this.categoryIdent = node + "-" + category;
this.app = app;
this.confirmedEventNums = new int[(int)IOTEventType.COUNT];
//TODO app
}
static List<IOTEventTrustResult> DeduceDropCommandMaliciously(int selfId, List<IOTPhenomemon> observedPhenomemons, double currentTime)
{
IOTGlobal global = (IOTGlobal)Global.getInstance();
//每个节点处理该类事件的次数
int[] eventCount = new int[global.readerNum];
List<IOTEventTrustResult> list = new List<IOTEventTrustResult>();
for (int i = 0; i < observedPhenomemons.Count; i++)
{
double a15_16, a17_20, a18_20, a19, a6, a7;
IOTPhenomemon p = observedPhenomemons[i];
if (p.likehood <= global.SmallValue)
continue;
if (p.type != IOTPhenomemonType.RECV_PACKET)
continue;
else if (p.pkg.Dst != p.nodeId ||p.pkg.Type != PacketType.COMMAND)
continue;
int node = p.nodeId;
eventCount[node]++;
a15_16 = p.likehood; //likehood of receiving a packet at time p.start
a6 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.MOVE_FAST,
node, p.start - global.checkPhenomemonTimeout, p.start + global.checkPhenomemonTimeout);
if (Utility.DoubleEqual(a6, global.SmallValue))
a7 = global.SmallValue;
else
a7 = 0.9 - a6;
a17_20 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.SEND_COMMAND,
node, p.start, p.start + global.sendPacketTimeout, p, ComparePhenomemonByExactTag);
a18_20 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.NOT_SEND_COMMAND,
node, p.start, p.start + global.sendPacketTimeout, p.pkg);
a19 = ConditionHappened(observedPhenomemons, IOTPhenomemonType.DIST_FAR,
node, p.start - global.checkPhenomemonTimeout, p.start + global.checkPhenomemonTimeout);
double b14 = DSClass.AND(a15_16, a17_20) * CF[(int)IOTEventType.NotDropCommand];
double b15 = DSClass.AND(DSClass.AND(a15_16, a18_20), DSClass.OR(a6, a19)) * CF[(int)IOTEventType.NotDropCommandButNotDetected];
double b16 = DSClass.AND(DSClass.AND(a15_16, a18_20), a7) * CF[(int)IOTEventType.DropCommandMaliciously];
DSClass ds = new DSClass(pow(IOTDropCommandEventType.END));
ds.SetM(pow(IOTDropCommandEventType.NotDropCommand), b14);
ds.SetM(pow(IOTDropCommandEventType.NotDropCommandButNotDetected), b15);
ds.SetM(pow(IOTDropCommandEventType.DropCommandMaliciously), b16);
ds.SetM(pow(IOTDropCommandEventType.END) - 1, 1 - b14 - b15 - b16);
ds.Cal();
//ds.Output();
//此处，我们先过滤一些正常事件，否则事件太多了
if (ds.b[pow(IOTDropCommandEventType.NotDropCommand)] < global.NormalBelief
|| ds.p[pow(IOTDropCommandEventType.NotDropCommand)] < global.NormalPlausibility)//确实是攻击,恶意事件的信念大于正常事件，或恶意事件的信念大于某一个阈值
{
string pkgIdent = p.pkg.Prev + "-" + p.pkg.Next + global.PacketSeq;
IOTEventTrustResult r = new IOTEventTrustResult(node, pkgIdent, IOTEventCategoryType.DropCommand, ds);
r.totalCount = eventCount[node];
r.app = p.pkg.AppId;
list.Add(r);
}
}
return list;
}
