1 package edu.uci.iotproject.detection.layer2;
3 import edu.uci.iotproject.analysis.TriggerTrafficExtractor;
4 import edu.uci.iotproject.trafficreassembly.layer2.Layer2FlowReassembler;
5 import edu.uci.iotproject.trafficreassembly.layer2.Layer2Flow;
6 import edu.uci.iotproject.trafficreassembly.layer2.Layer2FlowReassemblerObserver;
7 import edu.uci.iotproject.detection.AbstractClusterMatcher;
8 import edu.uci.iotproject.trafficreassembly.layer2.Layer2FlowObserver;
9 import org.pcap4j.core.*;
11 import java.util.ArrayList;
12 import java.util.HashMap;
13 import java.util.List;
15 import java.util.function.Function;
18 * Attempts to detect members of a cluster (packet sequence mutations) in layer 2 flows.
20 * @author Janus Varmarken {@literal <jvarmark@uci.edu>}
21 * @author Rahmadi Trimananda {@literal <rtrimana@uci.edu>}
23 public class Layer2ClusterMatcher extends AbstractClusterMatcher implements Layer2FlowReassemblerObserver, Layer2FlowObserver {
26 * Maps from a flow to a table of {@link Layer2SequenceMatcher}s for that particular flow. The table {@code t} is
27 * structured such that {@code t[i][j]} is a {@link Layer2SequenceMatcher} that attempts to match member {@code i}
28 * of {@link #mCluster} and has so far matched {@code j} packets of that particular sequence.
30 private final Map<Layer2Flow, Layer2SequenceMatcher[][]> mPerFlowSeqMatchers = new HashMap<>();
31 private final Map<Layer2Flow, Layer2RangeMatcher[]> mPerFlowRangeMatcher = new HashMap<>();
33 private final Function<Layer2Flow, Boolean> mFlowFilter;
36 * Specifying range-based instead of conservative exact matching.
38 private final boolean mRangeBased;
41 * Epsilon value used by the DBSCAN algorithm; it is used again for range-based matching here.
43 private final double mEps;
45 private int mInclusionTimeMillis;
48 * Create a new {@link Layer2ClusterMatcher} that attempts to find occurrences of {@code cluster}'s members.
49 * @param cluster The sequence mutations that the new {@link Layer2ClusterMatcher} should search for.
51 public Layer2ClusterMatcher(List<List<PcapPacket>> cluster, int inclusionTimeMillis,
52 boolean isRangeBased, double eps) {
53 // Consider all flows if no flow filter specified.
54 this(cluster, flow -> true, inclusionTimeMillis, isRangeBased, eps);
58 * Create a new {@link Layer2ClusterMatcher} that attempts to find occurrences of {@code cluster}'s members.
59 * @param cluster The sequence mutations that the new {@link Layer2ClusterMatcher} should search for.
60 * @param flowFilter A filter that defines what {@link Layer2Flow}s the new {@link Layer2ClusterMatcher} should
61 * search for {@code cluster}'s members in. If {@code flowFilter} returns {@code true}, the flow
62 * will be included (searched). Note that {@code flowFilter} is only queried once for each flow,
63 * namely when the {@link Layer2FlowReassembler} notifies the {@link Layer2ClusterMatcher} about
64 * the new flow. This functionality may for example come in handy when one only wants to search
65 * for matches in the subset of flows that involves a specific (range of) MAC(s).
66 * @param inclusionTimeMillis Packet inclusion limit for matching.
67 * @param isRangeBased The boolean that decides if it is range-based vs. strict matching.
68 * @param eps The epsilon value used in the DBSCAN algorithm.
70 public Layer2ClusterMatcher(List<List<PcapPacket>> cluster, Function<Layer2Flow, Boolean> flowFilter,
71 int inclusionTimeMillis, boolean isRangeBased, double eps) {
72 super(cluster, isRangeBased);
73 mFlowFilter = flowFilter;
74 mRangeBased = isRangeBased;
76 mInclusionTimeMillis =
77 inclusionTimeMillis == 0 ? TriggerTrafficExtractor.INCLUSION_WINDOW_MILLIS : inclusionTimeMillis;
81 public void onNewPacket(Layer2Flow flow, PcapPacket newPacket) {
83 rangeBasedMatching(flow, newPacket);
85 conservativeMatching(flow, newPacket);
89 private void conservativeMatching(Layer2Flow flow, PcapPacket newPacket) {
90 if (mPerFlowSeqMatchers.get(flow) == null) {
91 // If this is the first time we encounter this flow, we need to set up sequence matchers for it.
92 // All sequences of the cluster have the same length, so we only need to compute the length of the nested
93 // arrays once. We want to make room for a cluster matcher in each state, including the initial empty state
94 // but excluding the final "full match" state (as there is no point in keeping a terminated sequence matcher
95 // around), so the length of the inner array is simply the sequence length.
96 Layer2SequenceMatcher[][] matchers = new Layer2SequenceMatcher[mCluster.size()][mCluster.get(0).size()];
97 // Prepare a "state 0" sequence matcher for each sequence variation in the cluster.
98 for (int i = 0; i < matchers.length; i++) {
99 matchers[i][0] = new Layer2SequenceMatcher(mCluster.get(i), mInclusionTimeMillis);
101 // Associate the new sequence matcher table with the new flow
102 mPerFlowSeqMatchers.put(flow, matchers);
104 // Fetch table that contains sequence matchers for this flow.
105 Layer2SequenceMatcher[][] matchers = mPerFlowSeqMatchers.get(flow);
106 // Present the packet to all sequence matchers.
107 for (int i = 0; i < matchers.length; i++) {
108 // Present packet to the sequence matchers that has advanced the most first. This is to prevent discarding
109 // the sequence matchers that have advanced the most in the special case where the searched sequence
110 // contains two packets of the same length going in the same direction.
111 for (int j = matchers[i].length - 1; j >= 0 ; j--) {
112 Layer2SequenceMatcher sm = matchers[i][j];
114 // There is currently no sequence matcher that has managed to match j packets.
117 boolean matched = sm.matchPacket(newPacket);
119 if (sm.getMatchedPacketsCount() == sm.getTargetSequencePacketCount()) {
120 // Sequence matcher has a match. Report it to observers.
121 mObservers.forEach(o -> o.onMatch(this, sm.getMatchedPackets()));
122 // Remove the now terminated sequence matcher.
123 matchers[i][j] = null;
125 // Sequence matcher advanced one step, so move it to its corresponding new position iff the
126 // packet that advanced it has a later timestamp than that of the last matched packet of the
127 // sequence matcher at the new index, if any. In most traces, a small amount of the packets
128 // appear out of order (with regards to their timestamp), which is why this check is required.
129 // Obviously it would not be needed if packets where guaranteed to be processed in timestamp
131 if (matchers[i][j+1] == null ||
132 newPacket.getTimestamp().isAfter(matchers[i][j+1].getLastPacket().getTimestamp())) {
133 matchers[i][j+1] = sm;
136 // We always want to have a sequence matcher in state 0, regardless of if the one that advanced
137 // from state zero completed its matching or if it replaced a different one in state 1 or not.
138 if (sm.getMatchedPacketsCount() == 1) {
139 matchers[i][j] = new Layer2SequenceMatcher(sm.getTargetSequence(), mInclusionTimeMillis);
146 private void rangeBasedMatching(Layer2Flow flow, PcapPacket newPacket) {
147 // TODO: For range-based matching, we only care about matching a range; therefore it is a matcher array.
148 if (mPerFlowRangeMatcher.get(flow) == null) {
149 // If this is the first time we encounter this flow, we need to set up a sequence matcher.
150 // All sequences of the cluster have the same length, so we only need to compute the length of the
151 // arrays once. We want to make room for a cluster matcher in each state, including the initial empty state
152 // but excluding the final "full match" state (as there is no point in keeping a terminated sequence matcher
153 // around), so the length of the array is simply the sequence length.
154 Layer2RangeMatcher[] matcher = new Layer2RangeMatcher[mCluster.get(0).size()];
155 // Prepare a "state 0" sequence matcher.
156 matcher[0] = new Layer2RangeMatcher(mCluster.get(0), mCluster.get(1), mInclusionTimeMillis, mEps);
157 // Associate the new sequence matcher table with the new flow.
158 mPerFlowRangeMatcher.put(flow, matcher);
160 // Fetch table that contains sequence matchers for this flow.
161 Layer2RangeMatcher[] matcher = mPerFlowRangeMatcher.get(flow);
162 // Present packet to the sequence matcher.
163 for (int j = matcher.length - 1; j >= 0; j--) {
164 Layer2RangeMatcher sm = matcher[j];
166 // There is currently no sequence matcher that has managed to match j packets.
169 boolean matched = sm.matchPacket(newPacket);
171 if (sm.getMatchedPacketsCount() == sm.getTargetSequencePacketCount()) {
172 // Sequence matcher has a match. Report it to observers.
173 mObservers.forEach(o -> o.onMatch(this, sm.getMatchedPackets()));
174 // Remove the now terminated sequence matcher.
177 // Sequence matcher advanced one step, so move it to its corresponding new position iff the
178 // packet that advanced it has a later timestamp than that of the last matched packet of the
179 // sequence matcher at the new index, if any. In most traces, a small amount of the packets
180 // appear out of order (with regards to their timestamp), which is why this check is required.
181 // Obviously it would not be needed if packets where guaranteed to be processed in timestamp
183 if (matcher[j+1] == null ||
184 newPacket.getTimestamp().isAfter(matcher[j+1].getLastPacket().getTimestamp())) {
188 // We always want to have a sequence matcher in state 0, regardless of if the one that advanced
189 // from state zero completed its matching or if it replaced a different one in state 1 or not.
190 if (sm.getMatchedPacketsCount() == 1) {
191 matcher[j] = new Layer2RangeMatcher(sm.getTargetLowerBound(), sm.getTargetUpperBound(),
192 mInclusionTimeMillis, mEps);
199 protected List<List<PcapPacket>> pruneCluster(List<List<PcapPacket>> cluster) {
200 // Note: we assume that all sequences in the input cluster are of the same length and that their packet
201 // directions are identical.
202 List<List<PcapPacket>> prunedCluster = new ArrayList<>();
203 for (List<PcapPacket> originalClusterSeq : cluster) {
204 boolean alreadyPresent = prunedCluster.stream().anyMatch(pcPkts -> {
205 for (int i = 0; i < pcPkts.size(); i++) {
206 if (pcPkts.get(i).getOriginalLength() != originalClusterSeq.get(i).getOriginalLength()) {
212 if (!alreadyPresent) {
213 // Add the sequence if not already present in the pruned cluster.
214 prunedCluster.add(originalClusterSeq);
217 return prunedCluster;
220 private static final boolean DEBUG = false;
223 public void onNewFlow(Layer2FlowReassembler reassembler, Layer2Flow newFlow) {
224 // New flow detected. Check if we should consider it when searching for cluster member matches.
225 if (mFlowFilter.apply(newFlow)) {
227 System.out.println(">>> ACCEPTING FLOW: " + newFlow + " <<<");
229 // Subscribe to the new flow to get updates whenever a new packet pertaining to the flow is processed.
230 newFlow.addFlowObserver(this);
232 System.out.println(">>> IGNORING FLOW: " + newFlow + " <<<");