peda: comprehensive damage assessment for production environment server systems

ISCAS OpenIR

	peda: comprehensive damage assessment for production environment server systems
	Zhang Shengzhi; Jia Xiaoqi; Liu Peng; Jing Jiwu
	2011
发表期刊	IEEE Transactions on Information Forensics and Security
ISSN	1556-6013
卷号	6 期号:4 页码:1323-1334
摘要	Analyzing the intrusion to production servers is an onerous and error-prone work for system security technicians. Existing tools or techniques are quite limited. For instance, system events tracking lacks completeness of intrusion propagation, while dynamic taint tracking is not feasible to be deployed due to significant runtime overhead. Thus, we propose production environment damage assessment (PEDA), a systematic approach to do postmortem intrusion analysis for production workload servers. PEDA replays the has-been-infected execution with high fidelity on a separate analyzing instrumentation platform to conduct the heavy workload analysis. Though the replayed execution runs atop the instrumentation platform (i.e., binary-translation-based virtual machine), PEDA allows the first-run execution to run atop the hardware-assisted virtual machine to ensure minimum runtime overhead. Our evaluation demonstrates the efficiency of the PEDA system with a runtime overhead as low as 5%. The real-life intrusion studies show the advantage of PEDA intrusion analysis over existing techniques. © 2006 IEEE.; Analyzing the intrusion to production servers is an onerous and error-prone work for system security technicians. Existing tools or techniques are quite limited. For instance, system events tracking lacks completeness of intrusion propagation, while dynamic taint tracking is not feasible to be deployed due to significant runtime overhead. Thus, we propose production environment damage assessment (PEDA), a systematic approach to do postmortem intrusion analysis for production workload servers. PEDA replays the has-been-infected execution with high fidelity on a separate analyzing instrumentation platform to conduct the heavy workload analysis. Though the replayed execution runs atop the instrumentation platform (i.e., binary-translation-based virtual machine), PEDA allows the first-run execution to run atop the hardware-assisted virtual machine to ensure minimum runtime overhead. Our evaluation demonstrates the efficiency of the PEDA system with a runtime overhead as low as 5%. The real-life intrusion studies show the advantage of PEDA intrusion analysis over existing techniques. © 2006 IEEE.
收录类别	EI ; SCI
关键词	Computer Simulation
部门归属	(1) Department of Computer Science and Engineering Pennsylvania State University University Park PA 16802 United States; (2) State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing 100190 China; (3) College of Information Sciences and Technology Pennsylvania State University University Park PA 16802 United States; (4) State Key Laboratory of Information Security Graduate University of Chinese Academy of Sciences Beijing 100049 China
学科领域	Computer Science ; Engineering
资助者	AFOSRFA9550-07-1-0527; AROW911NF-09-1-0525; NSFCNS-0905131; AFRLFA8750-08-C-0137; NSFC61073179
语种	英语
WOS记录号	WOS:000297344200012
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16067
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhang Shengzhi,Jia Xiaoqi,Liu Peng,et al. peda: comprehensive damage assessment for production environment server systems[J]. IEEE Transactions on Information Forensics and Security,2011,6(4):1323-1334.
APA	Zhang Shengzhi,Jia Xiaoqi,Liu Peng,&Jing Jiwu.(2011).peda: comprehensive damage assessment for production environment server systems.IEEE Transactions on Information Forensics and Security,6(4),1323-1334.
MLA	Zhang Shengzhi,et al."peda: comprehensive damage assessment for production environment server systems".IEEE Transactions on Information Forensics and Security 6.4(2011):1323-1334.