{"id":16221980,"url":"https://github.com/bajajcodes/packetanalysis","last_synced_at":"2026-05-04T07:39:42.181Z","repository":{"id":115440409,"uuid":"267058329","full_name":"bajajcodes/PacketAnalysis","owner":"bajajcodes","description":"Packet Analysis using Wireshark Utilite i.e tshark . Here it is done in two parts One is DNS Packets Analysis which creates a Profile based on DNS Queries and Duration of Watch \u0026\u0026 Compares with other Profiles. 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Here it is done in two parts One is DNS Packets Analysis which creates a Profile based on DNS Queries and Duration of Watch \u0026amp;\u0026amp; Compares with other Profiles. Second IP_Addresses and Port Numbers Analysis in General View.\n\n\n## Problem Statement :- \nNetwork Traffic Analysis to interpret the User Interests and to detect any traffic anomaly.\n\n## Problem State :- \n - Packets are captured from the available interface on Host Machine or Given by User for Analysis.\n - Packets Captured or Pcap or Data are gathered majorly and commonly from Wlan and Ethernet Interfaces.\n - Packet Capture is not Pre-filtered rather Display filters are used as relevant filters for Features Extraction.\n - Detecting and Clarifying Traffic Anomalies.\n - Idea is to analyse (Data) to detect and identify any traffic anomaly \u0026 Analyze DNS Packets and co-packets to detect and identify User Interests and Duration of Conversation.\n- Thereafter to Automate the process and make so that it generates reports, If any analogous behaviour occurs \u0026 Make Reports based on User Interests gathered from DNS Packets.\n- The Data (Pcap) tells the  Info which is useful for User Interests Profile Making over DNS Queries and Time Spend and are extracted using Post-Packet-Capture-Filters and Output Filters for Extraction.\n- Features are classified as Categorical Features (a class) and Real-Value Data.\n- Flow Analysis is the General Setting from which interpretation is done only Source/Destination IP Addresses and Port Numbers.\n- A Report is Generated Called Profile  from Packet Captures, is compared with other Profiles and A Comparison Table is prepared visualizing Matching and Non-Matching Profiles i.e. based on interests\n- Visualizing Feature Extracted {Final} by Plotting them into different plots such as Historogram, BarGraph etc\n\n## Analysis :- \nPacket Capture does not Demonstrate the problem instead Results are prepared Post-Packet-Capturing by User Interpretation and Analysis.  \n - Here Data is the IP Addresses, Application Layer Protocols, Port Numbers, PDUs and others etc. \n - At First all packets are captured then Filtered out and then Re-Filtered to final Features Extraction by Slicing and Comprehension and After Slicing Final Features, Data is Visualized, Reports are Generated and are Analyzed\n\n## Action Items :-\n  - @ Who_is_Seeing: Raise Issues and Suggest Changes\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbajajcodes%2Fpacketanalysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbajajcodes%2Fpacketanalysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbajajcodes%2Fpacketanalysis/lists"}