comment out old MSS table and its relevant code

code/ID2TLib/Statistics.py

@@ -1,6 +1,6 @@
 # Aidmar
 from operator import itemgetter
-import math
+from math import sqrt, ceil
 
 import os
 import time
@@ -246,17 +246,18 @@ class Statistics:
         """
         return self.process_db_query('macAddress(ipAddress=' + ipAddress + ")")
 
-    def get_mss(self, ipAddress: str):
-        """
-        :param ipAddress: The IP address whose used MSS should be determined
-        :return: The TCP MSS value used by the IP address, or if the IP addresses never specified a MSS,
-        then None is returned
-        """
-        mss_value = self.process_db_query('SELECT mss from tcp_mss WHERE ipAddress="' + ipAddress + '"')
-        if isinstance(mss_value, int):
-            return mss_value
-        else:
-            return None
+    # Aidmar - comment out
+    # def get_mss(self, ipAddress: str):
+    #     """
+    #     :param ipAddress: The IP address whose used MSS should be determined
+    #     :return: The TCP MSS value used by the IP address, or if the IP addresses never specified a MSS,
+    #     then None is returned
+    #     """
+    #     mss_value = self.process_db_query('SELECT mss from tcp_mss WHERE ipAddress="' + ipAddress + '"')
+    #     if isinstance(mss_value, int):
+    #         return mss_value
+    #     else:
+    #         return None
 
     # Aidmar
     def get_most_used_mss(self, ipAddress: str):
@@ -302,6 +303,26 @@ class Statistics:
             return (any(x in value.lower().strip() for x in self.stats_db.get_all_named_query_keywords()) or
                     any(x in value.lower().strip() for x in self.stats_db.get_all_sql_query_keywords()))
 
+
+
+    def calculate_standard_deviation(self, lst):
+        """Calculates the standard deviation for a list of numbers."""
+        num_items = len(lst)
+        mean = sum(lst) / num_items
+        differences = [x - mean for x in lst]
+        sq_differences = [d ** 2 for d in differences]
+        ssd = sum(sq_differences)
+        variance = ssd / num_items
+        sd = sqrt(variance)
+        #print('The mean of {} is {}.'.format(lst, mean))
+        #print('The differences are {}.'.format(differences))
+        #print('The sum of squared differences is {}.'.format(ssd))
+        #print('The variance is {}.'.format(variance))
+        print('The standard deviation is {}.'.format(sd))
+        print('--------------------------')
+        return sd
+
+
     def plot_statistics(self, format: str = 'pdf'): #'png'):
         """
         Plots the statistics associated with the dataset prior attack injection.
@@ -674,6 +695,9 @@ class Statistics:
             plt.bar(x, graphy, width, align='center', linewidth=2, color='red', edgecolor='red')
             out = self.pcap_filepath.replace('.pcap', '_plot-interval-new-ip-dist' + file_ending)
             plt.savefig(out, dpi=500)
+
+            print("IP Standard Deviation:")
+            self.calculate_standard_deviation(graphy)
             return out
 
         # Aidmar
@@ -707,6 +731,9 @@ class Statistics:
                 plt.bar(x, graphy, width, align='center', linewidth=2, color='red', edgecolor='red')
                 out = self.pcap_filepath.replace('.pcap', '_plot-interval-new-ttl-dist' + file_ending)
                 plt.savefig(out, dpi=500)
+
+                print("TTL Standard Deviation:")
+                self.calculate_standard_deviation(graphy)
                 return out
             else:
                 print("Error plot TTL: No TTL values found!")
@@ -741,6 +768,10 @@ class Statistics:
             plt.bar(x, graphy, width, align='center', linewidth=2, color='red', edgecolor='red')
             out = self.pcap_filepath.replace('.pcap', '_plot-interval-new-tos-dist' + file_ending)
             plt.savefig(out, dpi=500)
+
+            print("ToS Standard Deviation:")
+            self.calculate_standard_deviation(graphy)
+
             return out
 
         # Aidmar
@@ -774,6 +805,10 @@ class Statistics:
                 plt.bar(x, graphy, width, align='center', linewidth=2, color='red', edgecolor='red')
                 out = self.pcap_filepath.replace('.pcap', '_plot-interval-new-win-size-dist' + file_ending)
                 plt.savefig(out, dpi=500)
+
+                # Calculate Standart Deviation
+                print("Window Size Standard Deviation:")
+                self.calculate_standard_deviation(graphy)
                 return out
             else:
                 print("Error plot new values WinSize: No WinSize values found!")
@@ -810,6 +845,10 @@ class Statistics:
                 plt.bar(x, graphy, width, align='center', linewidth=2, color='red', edgecolor='red')
                 out = self.pcap_filepath.replace('.pcap', '_plot-interval-new-mss-dist' + file_ending)
                 plt.savefig(out, dpi=500)
+
+                # Calculate Standart Deviation
+                print("MSS Standard Deviation:")
+                self.calculate_standard_deviation(graphy)
                 return out
             else:
                 print("Error plot new values MSS: No MSS values found!")
@@ -854,7 +893,7 @@ class Statistics:
             # Get the interval in seconds
             for i, row in enumerate(result):
                 if i < len(result) - 1:
-                    intervalsSum += math.ceil((int(result[i + 1][0]) * 10 ** -6) - (int(row[0]) * 10 ** -6))
+                    intervalsSum += ceil((int(result[i + 1][0]) * 10 ** -6) - (int(row[0]) * 10 ** -6))
             interval = intervalsSum / (len(result) - 1)
             # Convert timestamp from micro to seconds, convert packet rate "per interval" to "per second"
             for row in result:
@@ -867,6 +906,9 @@ class Statistics:
 
         return complement_interval_pps
 
+
+
+
 """
  # Aidmar      
 

code/ID2TLib/StatsDatabase.py

@@ -192,10 +192,10 @@ class StatsDatabase:
             "avg.kbytesreceived": "SELECT avg(kbytesReceived) from ip_statistics",
             "avg.kbytessent": "SELECT avg(kbytesSent) from ip_statistics",
             "avg.ttlvalue": "SELECT avg(ttlValue) from ip_ttl",
-            "avg.mss": "SELECT avg(mss) from tcp_mss",
+            #"avg.mss": "SELECT avg(mss) from tcp_mss",
             "all.ipaddress": "SELECT ipAddress from ip_statistics",
             "all.ttlvalue": "SELECT DISTINCT ttlValue from ip_ttl",
-            "all.mss": "SELECT DISTINCT mss from tcp_mss",
+            #"all.mss": "SELECT DISTINCT mss from tcp_mss",
             "all.macaddress": "SELECT DISTINCT macAddress from ip_mac",
             "all.portnumber": "SELECT DISTINCT portNumber from ip_ports",
             "all.protocolname": "SELECT DISTINCT protocolName from ip_protocols"}

code_boost/src/cxx/pcap_processor.cpp

@@ -276,7 +276,8 @@ void pcap_processor::process_packets(const Packet &pkt) {
 
             try {                                                                
                 int val = tcpPkt.mss();
-                stats.addMSS(ipAddressSender, val);
+                // Aidmar - comment out
+                //stats.addMSS(ipAddressSender, val);
                 
                 // Aidmar
                 // MSS distribution

code_boost/src/cxx/statistics.cpp

@@ -488,14 +488,15 @@ void statistics::addIpStat_packetSent(std::string filePath, std::string ipAddres
     ip_statistics[ipAddressReceiver].pktsReceivedTimestamp.push_back(timestamp);
 }
 
+// Aidmar - comment out
 /**
  * Registers a value of the TCP option Maximum Segment Size (MSS).
  * @param ipAddress The IP address which sent the TCP packet.
  * @param MSSvalue The MSS value found.
  */
-void statistics::addMSS(std::string ipAddress, int MSSvalue) {
-    ip_sumMss[ipAddress] += MSSvalue;
-}
+//void statistics::addMSS(std::string ipAddress, int MSSvalue) {
+//    ip_sumMss[ipAddress] += MSSvalue;
+//}
 
 /**
  * Setter for the timestamp_firstPacket field.
@@ -610,9 +611,10 @@ ip_stats statistics::getStatsForIP(std::string ipAddress) {
     s.packetPerSecondOut = (ipStatEntry.pkts_sent / duration);
     s.AvgPacketSizeSent = (ipStatEntry.kbytes_sent / ipStatEntry.pkts_sent);
     s.AvgPacketSizeRecv = (ipStatEntry.kbytes_received / ipStatEntry.pkts_received);
-    int sumMSS = ip_sumMss[ipAddress];
-    int tcpPacketsSent = getProtocolCount(ipAddress, "TCP");
-    s.AvgMaxSegmentSizeTCP = ((sumMSS > 0 && tcpPacketsSent > 0) ? (sumMSS / tcpPacketsSent) : 0);
+    // Aidmar - comment out
+    //int sumMSS = ip_sumMss[ipAddress];
+    //int tcpPacketsSent = getProtocolCount(ipAddress, "TCP");
+    //s.AvgMaxSegmentSizeTCP = ((sumMSS > 0 && tcpPacketsSent > 0) ? (sumMSS / tcpPacketsSent) : 0);
 
     return s;
 }
@@ -652,7 +654,7 @@ void statistics::printStats(std::string ipAddress) {
         ss << "Packets per second OUT: " << is.packetPerSecondOut << std::endl;
         ss << "Avg Packet Size Sent: " << is.AvgPacketSizeSent << " kbytes" << std::endl;
         ss << "Avg Packet Size Received: " << is.AvgPacketSizeRecv << " kbytes" << std::endl;
-        ss << "Avg MSS: " << is.AvgMaxSegmentSizeTCP << " bytes" << std::endl;
+        //ss << "Avg MSS: " << is.AvgMaxSegmentSizeTCP << " bytes" << std::endl;
     }
     std::cout << ss.str();
 }
@@ -691,7 +693,7 @@ void statistics::writeToDatabase(std::string database_path) {
     db.writeStatisticsIP(ip_statistics);
     db.writeStatisticsTTL(ttl_distribution);
     db.writeStatisticsIpMac(ip_mac_mapping);
-    db.writeStatisticsMss(ip_sumMss);
+    //db.writeStatisticsMss(ip_sumMss);
     db.writeStatisticsPorts(ip_ports);
     db.writeStatisticsProtocols(protocol_distribution);
     // Aidmar

code_boost/src/cxx/statistics.h

@@ -520,8 +520,9 @@ private:
     // {IP Address, MAC Address}
     std::unordered_map<std::string, std::string> ip_mac_mapping;
 
+    // Aidmar - comment out
     // {IP Address, avg MSS}
-    std::unordered_map<std::string, int> ip_sumMss;
+    //std::unordered_map<std::string, int> ip_sumMss;
 };
 
 

code_boost/src/cxx/statistics_db.cpp

@@ -180,31 +180,32 @@ void statistics_db::writeStatisticsIpMac(std::unordered_map<std::string, std::st
     }
 }
 
+// Aidmar - comment out
 /**
  * Writes the MSS statistics into the database.
  * @param mssStatistics The MSS statistics from class statistics.
  */
-void statistics_db::writeStatisticsMss(std::unordered_map<std::string, int> mssStatistics) {
-    try {
-        db->exec("DROP TABLE IF EXISTS tcp_mss");
-        SQLite::Transaction transaction(*db);
-        const char *createTable = "CREATE TABLE tcp_mss ("
-                "ipAddress TEXT,"
-                "mss INTEGER);";
-        db->exec(createTable);
-        SQLite::Statement query(*db, "INSERT INTO tcp_mss VALUES (?, ?)");
-        for (auto it = mssStatistics.begin(); it != mssStatistics.end(); ++it) {
-            query.bind(1, it->first);
-            query.bind(2, it->second);
-            query.exec();
-            query.reset();
-        }
-        transaction.commit();
-    }
-    catch (std::exception &e) {
-        std::cout << "Exception in statistics_db: " << e.what() << std::endl;
-    }
-}
+//void statistics_db::writeStatisticsMss(std::unordered_map<std::string, int> mssStatistics) {
+//    try {
+//        db->exec("DROP TABLE IF EXISTS tcp_mss");
+//        SQLite::Transaction transaction(*db);
+//        const char *createTable = "CREATE TABLE tcp_mss ("
+//                "ipAddress TEXT,"
+//                "mss INTEGER);";
+//        db->exec(createTable);
+//        SQLite::Statement query(*db, "INSERT INTO tcp_mss VALUES (?, ?)");
+//        for (auto it = mssStatistics.begin(); it != mssStatistics.end(); ++it) {
+//            query.bind(1, it->first);
+//            query.bind(2, it->second);
+//            query.exec();
+//            query.reset();
+//        }
+//        transaction.commit();
+//    }
+//    catch (std::exception &e) {
+//        std::cout << "Exception in statistics_db: " << e.what() << std::endl;
+//    }
+//}
 
 /**
  * Writes general file statistics into the database.

code_boost/src/cxx/statistics_db.h

@@ -33,7 +33,8 @@ public:
 
     void writeStatisticsIpMac(std::unordered_map<std::string, std::string> IpMacStatistics);
 
-    void writeStatisticsMss(std::unordered_map<std::string, int> mssStatistics);
+    // Aidmar - comment out
+    //void writeStatisticsMss(std::unordered_map<std::string, int> mssStatistics);
 
     void writeStatisticsFile(int packetCount, float captureDuration, std::string timestampFirstPkt,
                              std::string timestampLastPkt, float avgPacketRate, float avgPacketSize,

output_profile

@@ -0,0 +1,3715 @@
+Loading pcap...
+empty loop: 0.03532 sec
+Input file: captures/col/capture_1.pcap
+Located statistics database at:  /home/anonymous/ID2T_data/db/226/224/7df7bc3f3a00.sqlite3
+Loaded file statistics in 0.66 sec by PCAP file processor.
+IP Standard Deviation:
+The standard deviation is 1.7440183485273295.
+--------------------------
+TTL Standard Deviation:
+The standard deviation is 0.746391318277482.
+--------------------------
+ToS Standard Deviation:
+The standard deviation is 0.24166091947189106.
+--------------------------
+Window Size Standard Deviation:
+The standard deviation is 0.43588989435406794.
+--------------------------
+MSS Standard Deviation:
+The standard deviation is 0.24166091947189108.
+--------------------------
+         7745263 function calls (7622895 primitive calls) in 14.783 seconds
+
+   Ordered by: standard name
+
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+