Energy-aware and self-adaptive anomaly detection scheme based on network tomography in mobile ad hoc networks

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	Energy-aware and self-adaptive anomaly detection scheme based on network tomography in mobile ad hoc networks
	Wang, Wei ; Wang, Huiran ; Wang, Beizhan ; Wang, Yaping ; Wang, Jiajun ; Wang BZ(王备战)
刊名	http://dx.doi.org/10.1016/j.ins.2012.07.036
	2013
关键词	SENSOR NETWORKS SECURITY ARCHITECTURE INFERENCE CAPACITY
英文摘要	China Postdoctoral Science Foundation [20090451384]; National Natural Science Foundation of China [61175039]; National High Technology Research and Development Program of China [200701Z464, 2007AA0 1Z475]; Research Fund for the Doctoral Program of Higher Education of China [20070698107]; Shaanxi Natural Science Foundation [2006F46]; Anomaly detection is indispensable for satisfying security services in mobile ad hoc network (MANET) applications. Often, however, a highly secure mechanism consumes a large amount of network resources, resulting in network performance degradation. To shift intrusion detection from existing security-centric design approaches to network performance centric design schemes, this paper presents a framework for designing an energy-aware and self-adaptive anomaly detection scheme for resource constrained MANETs. The scheme uses network tomography, a new technique for studying internal link performance based solely on end-to-end measurements. With the support of a module comprising a novel spatial-time model to identify the MANET topology, an energy-aware algorithm to sponsor system service, a method based on the expectation maximum to infer delay distribution, and a Self-organizing Map (SOM) neural network solution to profile link activity, the proposed system is capable of detecting link anomalies and localizing malicious nodes. Consequently, the proposed scheme offers a trade-off between overall network security and network performance, without causing any heavy network overload. Moreover, it provides an additional approach to monitor the spatial-time behavior of MANETs, including network topology, link performance and network security. The effectiveness of the proposed schemes is verified through extensive experiments. (C) 2012 Elsevier Inc. All rights reserved.
语种	英语
出版者	ELSEVIER SCIENCE INC
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/90355]
专题	软件学院－已发表论文
推荐引用方式 GB/T 7714	Wang, Wei,Wang, Huiran,Wang, Beizhan,et al. Energy-aware and self-adaptive anomaly detection scheme based on network tomography in mobile ad hoc networks[J]. http://dx.doi.org/10.1016/j.ins.2012.07.036,2013.
APA	Wang, Wei,Wang, Huiran,Wang, Beizhan,Wang, Yaping,Wang, Jiajun,&王备战.(2013).Energy-aware and self-adaptive anomaly detection scheme based on network tomography in mobile ad hoc networks.http://dx.doi.org/10.1016/j.ins.2012.07.036.
MLA	Wang, Wei,et al."Energy-aware and self-adaptive anomaly detection scheme based on network tomography in mobile ad hoc networks".http://dx.doi.org/10.1016/j.ins.2012.07.036 (2013).