上海万事娱乐平台大数据内生安全研究所

发布者:尹秀娟发布时间🛻🤳🏼:2022-10-25浏览次数🌴:462


研究所围绕当前社会网络空间的广义内生安全问题👴🏿,开展内生安全理论研究以及新型漏洞挖掘方法的工程实践。主要开展智能网联系统安全、共模漏洞理论和评估🖤、拟态防御异构性度量和认知安全等方向的研究🫸,并结合产业界需求,进行科研成果转化和落地。


一🦯、主要研究方向

1. 智能网联系统安全方向:针对当前智能网联系统面临多种未知风险等问题🏌🏼‍♂️,利用软硬件模拟🏛,模糊测试等技术🙂,开展智能网联系统漏洞挖掘和漏洞防御相关研究𓀃,包括智能网联系统协议、固件🧑🏻‍💻、操作系统、接口等共性脆弱性研究。

2. 共模漏洞理论和评估方向🧳🏋️:针对拟态防御中软件及其供应链的共性问题,利用动静态程序分析👩🏽‍🔬,软件相似性分析等技术🥶🛶,开展共模漏洞系统性研究,包括共模漏洞理论完善,共模漏洞评估以及验证等相关研究。

3. 拟态防御异构性度量方向🧰:面向拟态防御中动态异构冗余实践规范🧛🏽,开展拟态防御方法的异构度评估方法研究🛀🏼,为拟态防御系统部署提供规范和指导⛅️。

4. 认知安全方向:针对当前认知领域存在重大未知风险等问题🧘🏼‍♂️⛔,开展认知域、信息域和物理域三域融合下的安全问题研究,包括网络空间抗测绘,XAI,Web3安全,反欺诈等。




二、代表性研究成果

  • 论文:HARM: Hardware-assisted Continous Re-randomization for Microcontrollers. EuroS&P, 2022

  • 论文:Semantics-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. TDSC, 2022. CCF-A

  • 论文:A co-design adaptive defense scheme with bounded security damages against Heartbleed-like attacks. TIFS. 2021. CCF-A

  • 论文:DEEPRETURN: A Deep Neural Network Can Learn How to Detect Previously-Unseen ROP Payloads without Using Any Heuristics. Journal of Computer Security, 2020. EI CCF-B.

  • 论文:On convergence rates of game theoretic reinforcement learning algorithms. Automatica. 2019. EI CCF-A.

  • 论文:POMP: Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts. In Proceedings of the 26th USENIX Security Symposium (USENIX Security), Vancouver, Canada, August 2017. EI CCF-A.

  • 论文🧸:What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon. In Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. (DSN 2017), Denver, CO, USA, June 2017. EI CCF-B.

  • 论文:Dancing with Wolves: Towards Practical Event-driven VMM Monitoring. In Proceedings of 13th ACM SIGPLAN/SIGOPS International Conference on Conference on Virtual Execution Environments (VEE 2017), 2017. EI CCF-B.

  • 论文:CREDAL: Towards Locating a Memory Corruption Vulnerability with Your Core Dump. In Proceedings of 23rd ACM Conference on Computer and Communications Security (CCS 2016), Vienna, Austria, October, 2016. EI CCF-A.

  • 论文:A Practical Approach for Adaptive Data Structure Layout Randomization. In Proceedings of the 20th European Symposium on Research in Computer Security. (ESORICS 2015), Vienna, Austria, September 2015. EI CCF-B.

  • 论文💆🏿:System Call Redirection: A Practical Approach to Meeting Real-world VMI needs. In Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. (DSN 2014), Atlanta, Georgia USA, June 2014. EI CCF-B.


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