华中科技大学 | 基于大模型的Fuzz Driver生成工具
原文标题:CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph原文作者:徐晗翔,马威(共同第一作者)
阅读全文原文标题:CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph原文作者:徐晗翔,马威(共同第一作者)
阅读全文原文标题:Detecting Tor Bridge from Sampled Traffic in Backbone Networks原文作者:Hua Wu, Shuyi Guo, Guang Ch
阅读全文原文标题:Early-MFC: Enhanced Flow Correlation Attacks on Tor via Multi-view Triplet Networks with Early
阅读全文第一届大模型供应链研讨会(LLMSC@ISSTA)时间:2025年6月25日(暂定)地点:挪威 特隆赫姆网站:https://llmsc.github.io/论文提交:https://llmsc25.
阅读全文原文标题:Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions原文作者:侯
阅读全文原文标题:Network traffic classification: Techniques, datasets, and challenges原文作者:Ahmad Azab, Mahmoud Kh
阅读全文原文标题:DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Im
阅读全文原文标题:Robust Multi-tab Website Fingerprinting Attacks in the Wild原文作者:Xinhao Deng, Qilei Yin, Zhuotao
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阅读全文原文标题:Seeing Traffic Paths: Encrypted Traffic Classification With Path Signature Features原文作者:Shijie
阅读全文原文标题:Machine Learning Classification on Traffic of Secondary Encryption原文作者:Meng Shen, Jinpeng Zhan
阅读全文原文标题:Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detect
阅读全文原文标题:Snowflake Anonymous Network Traffic Identification原文作者:Yuying Wang, Guilong Yang, Dawei Xu, Che
阅读全文原文标题:Attention! Your Copied Data is Under Monitoring: A Systematic Study of Clipboard Usage in Andro
阅读全文原文标题:Enhanced detection of obfuscated HTTPS tunnel traffic using heterogeneous information network原文
阅读全文The 2025 International Conference on Information and Communications Security (ICICS 2025, 中国计算机学会CCF
阅读全文原文标题:A Machine Learning Approach to Classify Network Traffic原文作者:Nilesh Jadav, Nitul Dutta, Hiren Ku
阅读全文原文标题:Darknet traffic classification and adversarial attacks using machine learning原文作者:Nhien Rust-Ng
阅读全文第一届大模型供应链研讨会 (LLMSC@ISSTA)时间:2025年6月25日(暂定)地点:挪威 特隆赫姆网站:https://llmsc.github.io/论文提交:https://llmsc25
阅读全文数字化时代,互联网已深度融入人们生活的方方面面,域名系统(Domain Name System, DNS)作为互联网的基础设施,其重要性无可替代。域名如同互联网世界的“门牌号”,为用户精准引导访问各类
阅读全文原文标题:FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identif
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