基本信息
姚叶鹏  男    中国科学院信息工程研究所
电子邮件: yaoyepeng@iie.ac.cn
通信地址: 北京市海淀区树村路19号1A404
邮政编码: 100085

招生信息

   
招生专业
083900-网络空间安全
招生方向
高级威胁分析与发现,恶意网络流量分析,4G/5G移动通信安全

教育背景

2015-09--2019-06   中国科学院信息工程研究所   博士
2010-09--2013-06   首都师范大学   硕士
2006-09--2010-06   首都师范大学   学士

工作经历

   
工作简历
2021-11~现在, 中国科学院信息工程研究所, 副研究员
2019-07~2021-10,中国科学院信息工程研究所, 助理研究员
2013-07~2015-08,IGT科技开发(北京)有限公司, 软件开发工程师

教授课程

网络空间威胁发现前沿技术
网络溯源取证

专利与奖励

   
专利成果
[1] 汪秋云, 贺捷, 姚叶鹏, 姜政伟, 刘宝旭, 卢志刚. 基于图卷积神经网络的webshell检测方法及装置. CN: CN113194064A, 2021-07-30.
[2] 姜政伟, 贾梓健, 姚叶鹏, 汪秋云, 任房利, 刘宝旭. 结合元学习与时空特征融合的木马通信检测方法及系统. CN: CN112929380A, 2021-06-08.
[3] 姚叶鹏, 郝星然, 汪秋云, 贾梓健, 姜政伟, 刘宝旭. 结合自编码器和WGAN的网络攻击流量数据增强方法及系统. CN: CN112688928A, 2021-04-20.
[4] 陈明毅, 王天, 姚叶鹏, 刘俊荣, 姜波, 苏莉娅, 卢志刚. 一种检测内网横向移动攻击的方法. CN: CN110519276A, 2019-11-29.

出版信息

   
发表论文
(1) Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning, USENIX Security, 2023, 通讯作者
(2) M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting, COMPUTER NETWORKS, 2023, 第 5 作者
(3) Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests, USENIX Security Symposium 2022, 2022, 通讯作者
(4) Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection, IEEE Wireless Communications and Networking Conference (WCNC2022 IEEE Wireless Communications and Networking Conference, 2022, 第 4 作者
(5) Measurement for encrypted open resolvers: Applications and security, COMPUTER NETWORKS, 2022, 第 2 作者
(6) Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data, 24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD), 2021, 通讯作者
(7) Trojan Traffic Detection Based on Meta-learning, COMPUTATIONAL SCIENCE - ICCS 2021, 2021, 第 2 作者
(8) Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis, IEEE Security and Privacy (S&P), 2021, 通讯作者
(9) Towards Comprehensive Detection of DNS Tunnels, 2020 25th IEEE Symposium on Computers and Communications (ISCC), 2020, 第 3 作者
(10) Towards Network Anomaly Detection Using Graph Embedding, COMPUTATIONAL SCIENCE – ICCS 2020, 2020, 通讯作者
(11) STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection, 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE), 2019, 第 1 作者
(12) Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection, 19th Annual International Conference on Computational Science (ICCS), 2019, 第 1 作者
(13) Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-based Network Attack Detection, 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE), 2019, 通讯作者
(14) Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection, 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 12th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE), 2018, 第 2 作者
(15) A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding, 16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom, 2018, 第 2 作者
(16) DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic, IEEE Military Communications Conference (MILCOM), 2018, 第 1 作者

科研活动

   
科研项目
( 1 ) 面向大规模网络流量的未知攻击智能发现技术研究, 负责人, 国家任务, 2023-01--2025-12
( 2 ) 软件供应链投毒风险识别, 负责人, 国家任务, 2023-03--2025-11
( 3 ) 5G通信网络安全风险评估与威胁检测系统研发及应用, 负责人, 地方任务, 2021-04--2024-03