Hypervisor-assisted dynamic malware analysis

Author:

Leon Roee S.,Kiperberg Michael,Leon Zabag Anat Anatey,Zaidenberg Nezer JacobORCID

Abstract

AbstractMalware analysis is a task of utmost importance in cyber-security. Two approaches exist for malware analysis: static and dynamic. Modern malware uses an abundance of techniques to evade both dynamic and static analysis tools. Current dynamic analysis solutions either make modifications to the running malware or use a higher privilege component that does the actual analysis. The former can be easily detected by sophisticated malware while the latter often induces a significant performance overhead. We propose a method that performs malware analysis within the context of the OS itself. Furthermore, the analysis component is camouflaged by a hypervisor, which makes it completely transparent to the running OS and its applications. The evaluation of the system’s efficiency suggests that the induced performance overhead is negligible.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems,Software

Reference66 articles.

1. Afianian, A, et al. (2019) Malware dynamic analysis evasion techniques: A survey. ACM Comput Surv (CSUR) 52(6):1–28.

2. Algawi, A, Kiperberg M, Leon R, Resh A, Zaidenberg N (2019) Creating Modern Blue Pills and Red Pills In: ECCWS 2019 18th European Conference on Cyber Warfare and Security, 6.. Academic Conferences and publishing limited, UK. https://jyx.jyu.fi/bitstream/handle/123456789/67098/1/CreatingModernBluePillsandRedPills.pdf.

3. AMD (2010) AMD64 Architecture Programmer’s Manual Volume 2: System Programming. https://www.amd.com/system/files/TechDocs/24593.pdf.

4. ARM Ltd. (2013) ARM Architecture Reference Manual, ARMv8, for ARMv8-A architecture profile. https://developer.arm.com/documentation/ddi0487/latest.

5. Barham, P, Dragovic B, Fraser K, Hand S, Harris T, Ho A, Neugebauer R, Pratt I, Warfield A (2003) XEN and the art of virtualization In: Proceedings of the 19th ACM Symposium on Operating System Principles.. SOSSP, Bolton Landing.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Virtualized network packet inspection;Computer Networks;2024-09

2. SFC-NIDS: a sustainable and explainable flow filtering based concept drift-driven security approach for network introspection;Cluster Computing;2024-04-29

3. Malware Analysis of Cryptojacks: Crackonosh and Winstar Nss Miner;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. Network Fuzzing: State of the art;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05

5. DeepHyperv: A deep neural network based virtual memory analysis for malware detection at hypervisor-layer;2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS);2023-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3