东北大学 | Untangle: 多层 Web 服务器指纹识别
原文标题:Untangle: Multi-Layer Web Server Fingerprinting原文作者:Cem Topcuoglu,Kaan Onarlioglu,Bahruz Jabiye
阅读全文原文标题:Untangle: Multi-Layer Web Server Fingerprinting原文作者:Cem Topcuoglu,Kaan Onarlioglu,Bahruz Jabiye
阅读全文一、导师介绍凌祥,副研究员,硕士生导师,中国科学院软件研究所优秀青年科技人才,主要研究方向为智能软硬件安全,致力于解决智能软硬件及其供应链中存在的安全问题;主持国家自然科学基金、重点研发计划课题等多项
阅读全文原文标题:ATVITSC: A Novel Encrypted Traffic Classification Method Based on Deep Learning原文作者:Ya Liu, Xi
阅读全文原文标题:The Skeleton Keys: A Large Scale Analysis of Credential Leakage in Mini-apps原文作者:Yizhe Shi,Zhem
阅读全文原文标题:SWIDE: A Semantic-aware Detection Engine for Successful Web Injection Attacks原文作者:Ronghai Yang,
阅读全文原文标题:Smudged Fingerprints: Characterizing and Improving the Performance of Web Application Fingerpri
阅读全文原文标题:Understanding Web Fingerprinting with a Protocol-Centric Approach原文作者:Bogdan Cebere, Christian
阅读全文原文标题:TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic R
阅读全文原文标题:Cross-Origin Web Attacks via HTTP/2 Server Push and Signed HTTP Exchange原文作者:Pinji Chen, Jianju
阅读全文CCF-腾讯犀牛鸟基金(以下简称犀牛鸟基金)于2013年由腾讯公司和中国计算机学会(CCF)共同发起,致力于面向海内外青年学者搭建产学研合作及学术交流的平台。十三年来,犀牛鸟基金为全球范围内最具创新力
阅读全文原文标题:Traffic Classification through Simple Statistical Fingerprinting原文作者:Manuel Crotti, Maurizio Du
阅读全文原文标题:A Deep Learning-Based Encrypted VPN Traffic Classification Method Using Packet Block Image原文作者:
阅读全文原文标题:MiniCAT: Understanding and Detecting Cross-Page Request Forgery Vulnerabilities in Mini-Program
阅读全文原文标题:Profiling Tor Users with Unsupervised Learning Techniques原文作者:Rafael Galvez, Marc Juarez, Clau
阅读全文原文标题:Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Ne
阅读全文原文标题:BLUFFS: Bluetooth Forward and Future Secrecy Attacks and Defenses原文作者:Daniele Antonioli原文链接:htt
阅读全文原文标题:Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning原文作者:Jonathan Knauer, Phillip
阅读全文大家好,我即将在芝大计算机系结束自己的博士学习,将于2025年8月加入香港大学数据与系统工程系(Department of Data and Systems Engineering, DASE),出任
阅读全文原文标题:Robust Detection of Malicious Encrypted Traffic via Contrastive Learning原文作者:Meng Shen, Jinhe W
阅读全文尊敬的学者同仁:本特刊旨在征集计算机科学领域内网络空间安全技术的基础理论与应用实践方面的高质量原创研究论文及综述文章,尤其欢迎提出创新理论模型、实践解决方案及跨学科方法的投稿。特刊主题包括但不限于以下
阅读全文原文标题:A Multi-modal Learning-Based Behavior Identification Scheme for Obfuscated Tunneling Traffic原文作
阅读全文Yuchen Yang 现正招收博士生(2026年秋季入学)、科研实习生与访问学者(长期)。欢迎具有高度科研热情、具备系统构建能力,并在可信 AI、生成模型、对抗机器学习、高效机器学习或人机交互等方向
阅读全文With the rapid advancement and convergence of Internet of Things (IoT), big data, and artificial int
阅读全文上海市计算机软件评测重点实验室(以下简称“重点实验室”)是上海市科学技术委员会设立的重点实验室,依托单位是上海计算机软件技术开发中心。作为全国最早的第三方专业测评机构之一,重点实验室具有三十余年的丰富
阅读全文报名方式大会日程、酒店预定等更多详情请点击下方链接常安论坛倒计时|主旨报告、专题论坛、特色活动抢先看特邀嘉宾(按照姓氏拼音排序)安建平北京理工大学巴钟杰浙江大学蔡成涛哈尔滨工程大学曹春杰海南大学曹玖新
阅读全文原文标题:A Generalization-Enhanced Method for Encrypted Proxy Traffic Identification Based on Autoencode
阅读全文原文标题:Exploring the Unknown DTLS Universe: Analysis of the DTLS Server Ecosystem on the Internet原文作者:
阅读全文原文标题:New Directions in Automated Traffic Analysis原文作者:Jordan Holland, Paul Schmitt, Nick Feamster, P
阅读全文原文标题:Categorically Analyzing the Network Traffic in the Snowflake Bridge of Tor 原文作者:Sibashreeta Das
阅读全文原文标题:Markov Chain Fingerprinting to Classify Encrypted Traffic原文作者:Maciej Korczynski, Andrzej Duda原
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