1 package edu.uci.iotproject;
3 import static edu.uci.iotproject.analysis.UserAction.Type;
5 import edu.uci.iotproject.analysis.*;
6 import edu.uci.iotproject.comparison.seqalignment.ExtractedSequence;
7 import edu.uci.iotproject.comparison.seqalignment.SequenceAlignment;
8 import edu.uci.iotproject.comparison.seqalignment.SequenceExtraction;
9 import edu.uci.iotproject.io.TriggerTimesFileReader;
10 import edu.uci.iotproject.util.PcapPacketUtils;
11 import edu.uci.iotproject.util.PrintUtils;
12 import org.apache.commons.math3.stat.clustering.Cluster;
13 import org.apache.commons.math3.stat.clustering.DBSCANClusterer;
14 import org.pcap4j.core.*;
15 import org.pcap4j.packet.namednumber.DataLinkType;
17 import java.io.EOFException;
19 import java.io.PrintWriter;
20 import java.net.UnknownHostException;
21 import java.time.Instant;
23 import java.util.concurrent.TimeoutException;
24 import java.util.stream.Collectors;
25 import java.util.stream.Stream;
28 * This is a system that reads PCAP files to compare
29 * patterns of DNS hostnames, packet sequences, and packet
30 * lengths with training data to determine certain events
31 * or actions for smart home devices.
33 * @author Janus Varmarken
34 * @author Rahmadi Trimananda (rtrimana@uci.edu)
40 public static void main(String[] args) throws PcapNativeException, NotOpenException, EOFException, TimeoutException, UnknownHostException {
41 // -------------------------------------------------------------------------------------------------------------
42 // ------------ # Code for extracting traffic generated by a device within x seconds of a trigger # ------------
43 // Paths to input and output files (consider supplying these as arguments instead) and IP of the device for
44 // which traffic is to be extracted:
45 String path = "/scratch/July-2018"; // Rahmadi
46 // String path = "/Users/varmarken/temp/UCI IoT Project/experiments"; // Janus
47 boolean verbose = true;
48 final String onPairsPath = "/scratch/July-2018/on.txt";
49 final String offPairsPath = "/scratch/July-2018/off.txt";
51 // 1) D-Link July 26 experiment
52 final String inputPcapFile = path + "/2018-07/dlink/dlink.wlan1.local.pcap";
53 final String outputPcapFile = path + "/2018-07/dlink/dlink-processed.pcap";
54 final String triggerTimesFile = path + "/2018-07/dlink/dlink-july-26-2018.timestamps";
55 final String deviceIp = "192.168.1.246"; // .246 == phone; .199 == dlink plug?
57 // 2) TP-Link July 25 experiment
58 // final String inputPcapFile = path + "/2018-07/tplink/tplink.wlan1.local.pcap";
59 // final String outputPcapFile = path + "/2018-07/tplink/tplink-processed.pcap";
60 // final String triggerTimesFile = path + "/2018-07/tplink/tplink-july-25-2018.timestamps";
61 // final String deviceIp = "192.168.1.159";
63 // 2b) TP-Link July 25 experiment TRUNCATED:
64 // Only contains "true local" events, i.e., before the behavior changes to remote-like behavior.
65 // Last included event is at July 25 10:38:11; file filtered to only include packets with arrival time <= 10:38:27.
66 // final String inputPcapFile = path + "/2018-07/tplink/tplink.wlan1.local.truncated.pcap";
67 // final String outputPcapFile = path + "/2018-07/tplink/tplink-processed.truncated.pcap";
68 // final String triggerTimesFile = path + "/2018-07/tplink/tplink-july-25-2018.truncated.timestamps";
69 // final String deviceIp = "192.168.1.159";
71 // 3) SmartThings Plug July 25 experiment
72 // final String inputPcapFile = path + "/2018-07/stplug/stplug.wlan1.local.pcap";
73 // final String outputPcapFile = path + "/2018-07/stplug/stplug-processed.pcap";
74 // final String triggerTimesFile = path + "/2018-07/stplug/smartthings-july-25-2018.timestamps";
75 // final String deviceIp = "192.168.1.246"; // .246 == phone; .142 == SmartThings Hub (note: use eth0 capture for this!)
77 // 4) Wemo July 30 experiment
78 // final String inputPcapFile = path + "/2018-07/wemo/wemo.wlan1.local.pcap";
79 // final String outputPcapFile = path + "/2018-07/wemo/wemo-processed.pcap";
80 // final String triggerTimesFile = path + "/2018-07/wemo/wemo-july-30-2018.timestamps";
81 // final String deviceIp = "192.168.1.145";
83 // 5) Wemo Insight July 31 experiment
84 // final String inputPcapFile = path + "/2018-07/wemoinsight/wemoinsight.wlan1.local.pcap";
85 // final String outputPcapFile = path + "/2018-07/wemoinsight/wemoinsight-processed.pcap";
86 // final String triggerTimesFile = path + "/2018-07/wemoinsight/wemo-insight-july-31-2018.timestamps";
87 // final String deviceIp = "192.168.1.135";
89 // 6) TP-Link Bulb August 1 experiment
90 // final String inputPcapFile = path + "/2018-08/tplink-bulb/tplinkbulb.wlan1.local.pcap";
91 // final String outputPcapFile = path + "/2018-08/tplink-bulb/tplinkbulb-processed.pcap";
92 // final String triggerTimesFile = path + "/2018-08/tplink-bulb/tplink-bulb-aug-3-2018.timestamps";
93 // final String deviceIp = "192.168.1.140"; // .246 == phone; .140 == TP-Link bulb
95 // 7) Kwikset Doorlock August 6 experiment
96 // final String inputPcapFile = path + "/2018-08/kwikset-doorlock/kwikset-doorlock.wlan1.local.pcap";
97 // final String outputPcapFile = path + "/2018-08/kwikset-doorlock/kwikset-doorlock-processed.pcap";
98 // final String triggerTimesFile = path + "/2018-08/kwikset-doorlock/kwikset-doorlock-aug-6-2018.timestamps";
99 // final String deviceIp = "192.168.1.246"; // .246 == phone; .142 == SmartThings Hub (note: use eth0 capture for this!)
101 // September 12, 2018 - includes both wlan1 and eth1 interfaces
102 //final String inputPcapFile = path + "/2018-08/kwikset-doorlock/kwikset3.wlan1.local.pcap";
103 // final String inputPcapFile = path + "/2018-08/kwikset-doorlock/kwikset3.eth1.local.pcap";
104 // final String outputPcapFile = path + "/2018-08/kwikset-doorlock/kwikset3-processed.pcap";
105 // final String triggerTimesFile = path + "/2018-08/kwikset-doorlock/kwikset-doorlock-sept-12-2018.timestamps";
106 // final String deviceIp = "192.168.1.142"; // .246 == phone; .142 == SmartThings Hub (note: use eth0 capture for this!)
108 // 8) Hue Bulb August 7 experiment
109 // final String inputPcapFile = path + "/2018-08/hue-bulb/hue-bulb.wlan1.local.pcap";
110 // final String outputPcapFile = path + "/2018-08/hue-bulb/hue-bulb-processed.pcap";
111 // final String triggerTimesFile = path + "/2018-08/hue-bulb/hue-bulb-aug-7-2018.timestamps";
112 // final String deviceIp = "192.168.1.246";
114 // 9) Lifx Bulb August 8 experiment
115 // final String inputPcapFile = path + "/2018-08/lifx-bulb/lifx-bulb.wlan1.local.pcap";
116 // final String outputPcapFile = path + "/2018-08/lifx-bulb/lifx-bulb-processed.pcap";
117 // final String triggerTimesFile = path + "/2018-08/lifx-bulb/lifx-bulb-aug-8-2018.timestamps";
118 // final String deviceIp = "192.168.1.246"; // .246 == phone; .231 == Lifx
120 // 10) Amcrest Camera August 9 experiment
121 // final String inputPcapFile = path + "/2018-08/amcrest-camera/amcrest-camera.wlan1.local.pcap";
122 // final String outputPcapFile = path + "/2018-08/amcrest-camera/amcrest-camera-processed.pcap";
123 // final String triggerTimesFile = path + "/2018-08/amcrest-camera/amcrest-camera-aug-9-2018.timestamps";
124 // final String deviceIp = "192.168.1.246"; // .246 == phone; .235 == camera
126 // 11) Arlo Camera August 10 experiment
127 // final String inputPcapFile = path + "/2018-08/arlo-camera/arlo-camera.wlan1.local.pcap";
128 // final String outputPcapFile = path + "/2018-08/arlo-camera/arlo-camera-processed.pcap";
129 // final String triggerTimesFile = path + "/2018-08/arlo-camera/arlo-camera-aug-10-2018.timestamps";
130 // final String deviceIp = "192.168.1.140"; // .246 == phone; .140 == camera
132 // 12) Blossom sprinkler August 13 experiment
133 // final String inputPcapFile = path + "/2018-08/blossom/blossom.wlan1.local.pcap";
134 // final String outputPcapFile = path + "/2018-08/blossom/blossom-processed.pcap";
135 // final String triggerTimesFile = path + "/2018-08/blossom/blossom-aug-13-2018.timestamps";
136 // final String deviceIp = "192.168.1.246"; // .246 == phone; .229 == sprinkler
138 // // 13) DLink siren August 14 experiment
139 // final String inputPcapFile = path + "/2018-08/dlink-siren/dlink-siren.wlan1.local.pcap";
140 // final String outputPcapFile = path + "/2018-08/dlink-siren/dlink-siren-processed.pcap";
141 // final String triggerTimesFile = path + "/2018-08/dlink-siren/dlink-siren-aug-14-2018.timestamps";
142 // final String deviceIp = "192.168.1.246"; // .246 == phone; .183 == siren
144 // 14) Nest thermostat August 15 experiment
145 // final String inputPcapFile = path + "/2018-08/nest/nest.wlan1.local.pcap";
146 // final String outputPcapFile = path + "/2018-08/nest/nest-processed.pcap";
147 // final String triggerTimesFile = path + "/2018-08/nest/nest-aug-15-2018.timestamps";
148 // final String deviceIp = "192.168.1.246"; // .246 == phone; .127 == Nest thermostat
150 // 15) Alexa August 16 experiment
151 // final String inputPcapFile = path + "/2018-08/alexa/alexa.wlan1.local.pcap";
152 // final String outputPcapFile = path + "/2018-08/alexa/alexa-processed.pcap";
153 // final String triggerTimesFile = path + "/2018-08/alexa/alexa-aug-16-2018.timestamps";
154 // final String deviceIp = "192.168.1.225"; // .246 == phone; .225 == Alexa
156 // final String inputPcapFile = path + "/2018-08/alexa/alexa2.wlan1.local.pcap";
157 // final String outputPcapFile = path + "/2018-08/alexa/alexa2-processed.pcap";
158 // final String triggerTimesFile = path + "/2018-08/alexa/alexa-aug-17-2018.timestamps";
159 // final String deviceIp = "192.168.1.225"; // .246 == phone; .225 == Alexa
162 // final String inputPcapFile = path + "/2018-08/noise/noise.eth1.pcap";
163 // final String outputPcapFile = path + "/2018-08/noise/noise-processed.pcap";
164 // final String triggerTimesFile = path + "/2018-08/noise/noise-sept-17-2018.timestamps";
165 // final String deviceIp = "192.168.1.142"; // .142 == SmartThings Hub; .199 == dlink plug; .183 == siren
167 TriggerTimesFileReader ttfr = new TriggerTimesFileReader();
168 List<Instant> triggerTimes = ttfr.readTriggerTimes(triggerTimesFile, false);
169 // Tag each trigger with "ON" or "OFF", assuming that the first trigger is an "ON" and that they alternate.
170 List<UserAction> userActions = new ArrayList<>();
171 for (int i = 0; i < triggerTimes.size(); i++) {
172 userActions.add(new UserAction(i % 2 == 0 ? Type.TOGGLE_ON : Type.TOGGLE_OFF, triggerTimes.get(i)));
174 TriggerTrafficExtractor tte = new TriggerTrafficExtractor(inputPcapFile, triggerTimes, deviceIp);
175 final PcapDumper outputter = Pcaps.openDead(DataLinkType.EN10MB, 65536).dumpOpen(outputPcapFile);
176 DnsMap dnsMap = new DnsMap();
177 TcpReassembler tcpReassembler = new TcpReassembler();
178 TrafficLabeler trafficLabeler = new TrafficLabeler(userActions);
179 tte.performExtraction(pkt -> {
182 } catch (NotOpenException e) {
185 }, dnsMap, tcpReassembler, trafficLabeler);
189 if (tte.getPacketsIncludedCount() != trafficLabeler.getTotalPacketCount()) {
190 // Sanity/debug check
191 throw new AssertionError(String.format("mismatch between packet count in %s and %s",
192 TriggerTrafficExtractor.class.getSimpleName(), TrafficLabeler.class.getSimpleName()));
195 // Extract all conversations present in the filtered trace.
196 List<Conversation> allConversations = tcpReassembler.getTcpConversations();
197 // Group conversations by hostname.
198 Map<String, List<Conversation>> convsByHostname = TcpConversationUtils.groupConversationsByHostname(allConversations, dnsMap);
199 System.out.println("Grouped conversations by hostname.");
200 // For each hostname, count the frequencies of packet lengths exchanged with that hostname.
201 final Map<String, Map<Integer, Integer>> pktLenFreqsByHostname = new HashMap<>();
202 convsByHostname.forEach((host, convs) -> pktLenFreqsByHostname.put(host, TcpConversationUtils.countPacketLengthFrequencies(convs)));
203 System.out.println("Counted frequencies of packet lengths exchanged with each hostname.");
204 // For each hostname, count the frequencies of packet sequences (i.e., count how many conversations exchange a
205 // sequence of packets of some specific lengths).
206 final Map<String, Map<String, Integer>> pktSeqFreqsByHostname = new HashMap<>();
207 convsByHostname.forEach((host, convs) -> pktSeqFreqsByHostname.put(host, TcpConversationUtils.countPacketSequenceFrequencies(convs)));
208 System.out.println("Counted frequencies of packet sequences exchanged with each hostname.");
209 // For each hostname, count frequencies of packet pairs exchanged with that hostname across all conversations
210 final Map<String, Map<String, Integer>> pktPairFreqsByHostname =
211 TcpConversationUtils.countPacketPairFrequenciesByHostname(allConversations, dnsMap);
212 System.out.println("Counted frequencies of packet pairs per hostname");
213 // For each user action, reassemble the set of TCP connections occurring shortly after
214 final Map<UserAction, List<Conversation>> userActionToConversations = trafficLabeler.getLabeledReassembledTcpTraffic();
215 final Map<UserAction, Map<String, List<Conversation>>> userActionsToConvsByHostname = trafficLabeler.getLabeledReassembledTcpTraffic(dnsMap);
216 System.out.println("Reassembled TCP conversations occurring shortly after each user event");
221 * NOTE: no need to generate these more complex on/off maps that also contain mappings from hostname and
222 * sequence identifiers as we do not care about hostnames and sequences during clustering.
223 * We can simply use the UserAction->List<Conversation> map to generate ON/OFF groupings of conversations.
226 // Contains all ON events: hostname -> sequence identifier -> list of conversations with that sequence
227 Map<String, Map<String, List<Conversation>>> ons = new HashMap<>();
228 // Contains all OFF events: hostname -> sequence identifier -> list of conversations with that sequence
229 Map<String, Map<String, List<Conversation>>> offs = new HashMap<>();
230 userActionsToConvsByHostname.forEach((ua, hostnameToConvs) -> {
231 Map<String, Map<String, List<Conversation>>> outer = ua.getType() == Type.TOGGLE_ON ? ons : offs;
232 hostnameToConvs.forEach((host, convs) -> {
233 Map<String, List<Conversation>> seqsToConvs = TcpConversationUtils.
234 groupConversationsByPacketSequence(convs, verbose);
235 outer.merge(host, seqsToConvs, (oldMap, newMap) -> {
236 newMap.forEach((sequence, cs) -> oldMap.merge(sequence, cs, (list1, list2) -> {
246 // ================================================ CLUSTERING ================================================
247 // Note: no need to use the more convoluted on/off maps; can simply use the UserAction->List<Conversation> map
248 // when don't care about hostnames and sequences (see comment earlier).
249 List<Conversation> onConversations = userActionToConversations.entrySet().stream().
250 filter(e -> e.getKey().getType() == Type.TOGGLE_ON). // drop all OFF events from stream
251 map(e -> e.getValue()). // no longer interested in the UserActions
252 flatMap(List::stream). // flatten List<List<T>> to a List<T>
253 collect(Collectors.toList());
254 List<Conversation> offConversations = userActionToConversations.entrySet().stream().
255 filter(e -> e.getKey().getType() == Type.TOGGLE_OFF).
256 map(e -> e.getValue()).
257 flatMap(List::stream).
258 collect(Collectors.toList());
259 List<PcapPacketPair> onPairs = onConversations.stream().
260 map(c -> c.isTls() ? TcpConversationUtils.extractTlsAppDataPacketPairs(c) :
261 TcpConversationUtils.extractPacketPairs(c)).
262 flatMap(List::stream). // flatten List<List<>> to List<>
263 collect(Collectors.toList());
264 List<PcapPacketPair> offPairs = offConversations.stream().
265 map(c -> c.isTls() ? TcpConversationUtils.extractTlsAppDataPacketPairs(c) :
266 TcpConversationUtils.extractPacketPairs(c)).
267 flatMap(List::stream). // flatten List<List<>> to List<>
268 collect(Collectors.toList());
269 // Note: need to update the DnsMap of all PcapPacketPairs if we want to use the IP/hostname-sensitive distance.
270 Stream.concat(Stream.of(onPairs), Stream.of(offPairs)).flatMap(List::stream).forEach(p -> p.setDnsMap(dnsMap));
271 // Perform clustering on conversation logged as part of all ON events.
272 DBSCANClusterer<PcapPacketPair> onClusterer = new DBSCANClusterer<>(10.0, 45);
273 List<Cluster<PcapPacketPair>> onClusters = onClusterer.cluster(onPairs);
274 // Perform clustering on conversation logged as part of all OFF events.
275 DBSCANClusterer<PcapPacketPair> offClusterer = new DBSCANClusterer<>(10.0, 45);
276 List<Cluster<PcapPacketPair>> offClusters = offClusterer.cluster(offPairs);
278 System.out.println("========================================");
279 System.out.println(" Clustering results for ON ");
280 System.out.println(" Number of clusters: " + onClusters.size());
282 List<List<PcapPacket>> ppListOfListReadOn = null;
283 for (Cluster<PcapPacketPair> c : onClusters) {
284 System.out.println(String.format("<<< Cluster #%02d (%03d points) >>>", ++count, c.getPoints().size()));
285 System.out.print(PrintUtils.toSummaryString(c));
287 List<List<PcapPacket>> ppListOfList = PcapPacketUtils.clusterToListOfPcapPackets(c);
288 PrintUtils.serializeClustersIntoFile("./onSignature" + count + ".sig", ppListOfList);
290 PrintUtils.serializeClustersFromFile("./onSignature" + count + ".sig");
292 System.out.println("========================================");
293 System.out.println(" Clustering results for OFF ");
294 System.out.println(" Number of clusters: " + offClusters.size());
296 List<List<PcapPacket>> ppListOfListReadOff = null;
297 for (Cluster<PcapPacketPair> c : offClusters) {
298 System.out.println(String.format("<<< Cluster #%03d (%06d points) >>>", ++count, c.getPoints().size()));
299 System.out.print(PrintUtils.toSummaryString(c));
301 List<List<PcapPacket>> ppListOfList = PcapPacketUtils.clusterToListOfPcapPackets(c);
302 PrintUtils.serializeClustersIntoFile("./offSignature" + count + ".sig", ppListOfList);
303 ppListOfListReadOff =
304 PrintUtils.serializeClustersFromFile("./offSignature" + count + ".sig");
306 System.out.println("========================================");
307 // ============================================================================================================
310 System.out.println("==== ON ====");
311 // Print out all the pairs into a file for ON events
312 File fileOnEvents = new File(onPairsPath);
313 PrintWriter pwOn = null;
315 pwOn = new PrintWriter(fileOnEvents);
316 } catch(Exception ex) {
317 ex.printStackTrace();
319 for(Map.Entry<String, Map<String, List<Conversation>>> entry : ons.entrySet()) {
320 Map<String, List<Conversation>> seqsToConvs = entry.getValue();
321 for(Map.Entry<String, List<Conversation>> entryConv : seqsToConvs.entrySet()) {
322 List<Conversation> listConv = entryConv.getValue();
323 // Just get the first Conversation because all Conversations in this group
324 // should have the same pairs of Application Data.
325 for(Conversation conv : listConv) {
326 // Process only if it is a TLS packet
328 List<PcapPacketPair> tlsAppDataList = TcpConversationUtils.extractTlsAppDataPacketPairs(conv);
329 for(PcapPacketPair pair: tlsAppDataList) {
330 System.out.println(PrintUtils.toCsv(pair, dnsMap));
331 pwOn.println(PrintUtils.toCsv(pair, dnsMap));
333 } else { // Non-TLS conversations
334 List<PcapPacketPair> packetList = TcpConversationUtils.extractPacketPairs(conv);
335 for(PcapPacketPair pair: packetList) {
336 System.out.println(PrintUtils.toCsv(pair, dnsMap));
337 pwOn.println(PrintUtils.toCsv(pair, dnsMap));
345 System.out.println("==== OFF ====");
346 // Print out all the pairs into a file for ON events
347 File fileOffEvents = new File(offPairsPath);
348 PrintWriter pwOff = null;
350 pwOff = new PrintWriter(fileOffEvents);
351 } catch(Exception ex) {
352 ex.printStackTrace();
354 for(Map.Entry<String, Map<String, List<Conversation>>> entry : offs.entrySet()) {
355 Map<String, List<Conversation>> seqsToConvs = entry.getValue();
356 for(Map.Entry<String, List<Conversation>> entryConv : seqsToConvs.entrySet()) {
357 List<Conversation> listConv = entryConv.getValue();
358 // Just get the first Conversation because all Conversations in this group
359 // should have the same pairs of Application Data.
360 for(Conversation conv : listConv) {
361 // Process only if it is a TLS packet
363 List<PcapPacketPair> tlsAppDataList = TcpConversationUtils.extractTlsAppDataPacketPairs(conv);
364 for(PcapPacketPair pair: tlsAppDataList) {
365 System.out.println(PrintUtils.toCsv(pair, dnsMap));
366 pwOff.println(PrintUtils.toCsv(pair, dnsMap));
368 } else { // Non-TLS conversations
369 List<PcapPacketPair> packetList = TcpConversationUtils.extractPacketPairs(conv);
370 for (PcapPacketPair pair : packetList) {
371 System.out.println(PrintUtils.toCsv(pair, dnsMap));
372 pwOff.println(PrintUtils.toCsv(pair, dnsMap));
381 // // ================================================================================================
382 // // <<< Some work-in-progress/explorative code that extracts a "representative" sequence >>>
384 // // Currently need to know relevant hostname in advance :(
385 // String hostname = "events.tplinkra.com";
386 //// String hostname = "rfe-us-west-1.dch.dlink.com";
387 // // Conversations with 'hostname' for ON events.
388 // List<Conversation> onsForHostname = new ArrayList<>();
389 // // Conversations with 'hostname' for OFF events.
390 // List<Conversation> offsForHostname = new ArrayList<>();
391 // // "Unwrap" sequence groupings in ons/offs maps.
392 // ons.get(hostname).forEach((k,v) -> onsForHostname.addAll(v));
393 // offs.get(hostname).forEach((k,v) -> offsForHostname.addAll(v));
396 // Map<String, List<Conversation>> onsForHostnameGroupedByTlsAppDataSequence = TcpConversationUtils.groupConversationsByTlsApplicationDataPacketSequence(onsForHostname);
399 // // Extract representative sequence for ON and OFF by providing the list of conversations with
400 // // 'hostname' observed for each event type (the training data).
401 // SequenceExtraction seqExtraction = new SequenceExtraction();
402 //// ExtractedSequence extractedSequenceForOn = seqExtraction.extract(onsForHostname);
403 //// ExtractedSequence extractedSequenceForOff = seqExtraction.extract(offsForHostname);
405 // ExtractedSequence extractedSequenceForOn = seqExtraction.extractByTlsAppData(onsForHostname);
406 // ExtractedSequence extractedSequenceForOff = seqExtraction.extractByTlsAppData(offsForHostname);
408 // // Let's check how many ONs align with OFFs and vice versa (that is, how many times an event is incorrectly
410 // int onsLabeledAsOff = 0;
411 // Integer[] representativeOnSeq = TcpConversationUtils.getPacketLengthSequence(extractedSequenceForOn.getRepresentativeSequence());
412 // Integer[] representativeOffSeq = TcpConversationUtils.getPacketLengthSequence(extractedSequenceForOff.getRepresentativeSequence());
413 // SequenceAlignment<Integer> seqAlg = seqExtraction.getAlignmentAlgorithm();
414 // for (Conversation c : onsForHostname) {
415 // Integer[] onSeq = TcpConversationUtils.getPacketLengthSequence(c);
416 // if (seqAlg.calculateAlignment(representativeOffSeq, onSeq) <= extractedSequenceForOff.getMaxAlignmentCost()) {
417 // onsLabeledAsOff++;
420 // int offsLabeledAsOn = 0;
421 // for (Conversation c : offsForHostname) {
422 // Integer[] offSeq = TcpConversationUtils.getPacketLengthSequence(c);
423 // if (seqAlg.calculateAlignment(representativeOnSeq, offSeq) <= extractedSequenceForOn.getMaxAlignmentCost()) {
424 // offsLabeledAsOn++;
427 // System.out.println("");
428 // // ================================================================================================
431 // // -------------------------------------------------------------------------------------------------------------
432 // // -------------------------------------------------------------------------------------------------------------
438 // TP-Link MAC 50:c7:bf:33:1f:09 and usually IP 192.168.1.159 (remember to verify per file)
439 // frame.len >= 556 && frame.len <= 558 && ip.addr == 192.168.1.159