arsarabi / llm-device-fingerprints

Related projects: ⓘ

• jmhIcoding / splitpcap
  将大容量PCAP按流切分成小PCAP
  ☆13Updated last year
• jflixjtu / PacketPrint
  ☆8Updated 2 years ago
• Abby-ZS / NUDT_MobileTraffic
  An anonymized mobile traffic dataset published by Chen's team (National University of Defense Technology)
  ☆38Updated 8 months ago
• CSJianYang / SEevenLLM
  ☆30Updated 2 months ago
• hwwzrzr / APT-KGL
  APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning
  ☆54Updated 2 years ago
• Abonnen / Malicious_TLS_Detection
  The project is to detect malware traffic in TLS flows using ML
  ☆32Updated 4 years ago
• network-traffic / AppSniffer
  ☆15Updated last year
• PKU-ASAL / Simulated-Data
  ☆51Updated 3 weeks ago
• fengxinmin / malicious_traffic_detection_platform
  ☆24Updated this week
• jmhIcoding / flowcontainer
  从pcap获取流的基本信息工具
  ☆180Updated last year
• DCMMC / EBSNN
  EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification
  ☆12Updated 3 years ago
• SPIN-UMass / Realistic-Website-Fingerprinting-By-Augmenting-Network-Traces
  ☆14Updated last year
• jmhIcoding / fdan
  The data for paper of `Mobile-app Identification over Drifted Encrypted Network Traffic with Zero-relabeling`.
  ☆9Updated last year
• XFR1998 / CCF-BDCI2022-Web-Attack-Detection-and-Classification
  此仓库代码为本人参加的CCF-BDCI-2022 赛道：Web攻击检测与分类识别 (多分类任务)，比赛rank-23。队员：Furen Xu
  ☆12Updated last year
• DART-Laboratory / Flash-IDS
  ☆30Updated 4 months ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆24Updated 2 years ago
• sunskyXX / Rosetta
  ☆31Updated last year
• fuchuanpu / HyperVision
  Flow Interaction Graph based attack traffic detection system.
  ☆120Updated 4 months ago
• FDUDSDE / MAGIC
  Codes and data for USENIX Security 24 paper "MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning"
  ☆64Updated 3 months ago
• tudelft-cda-lab / SAGE
  [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854
  ☆33Updated 2 months ago
• JNUYoung / Provenance-Graph-for-Attack-Detection
  基于溯源图的入侵/威胁检测相关论文及阅读笔记
  ☆12Updated 9 months ago
• zhengjuan1996 / GCN-ETA
  ☆11Updated 3 years ago
• Bil369 / IDS2018-DDoS-Traffic-Classify
  基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践
  ☆22Updated 3 years ago
• malfp / tormalwarefp
  Traffic analysis for Tor-based malware detection and classification
  ☆37Updated last year
• tigerFF / Log2vec
  Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise
  ☆20Updated 2 years ago
• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆69Updated 2 years ago
• iHeartGraph / Euler
  ☆48Updated 10 months ago
• eastmountyxz / APT-ProvenanceGraph
  该资源是各种溯源图相关的论文和资源总结（含PPT），涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~
  ☆131Updated 10 months ago
• Swifto0 / XIHuLunJian
  2020 西湖论剑恶意流量检测实现代码
  ☆9Updated last year
• JohnsonGeng / malicious_traffic
  利用强化学习方法 DQN 生成基于机器学习的恶意流量检测模型
  ☆22Updated 2 years ago