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Modeling and detection of ontology-based Byzantine attacks
Received date: 2010-08-20
Revised date: 2010-10-17
Online published: 2011-09-15
Byzantine attacks highly threaten the normal communication of the network. An ontology-based model of Byzantine attacks is proposed based on the detailed analysis of the characteristics of Byzantine attacks. The model is described in the three aspects, class, relation, and reasoning. The model realizes the universal expression of the concepts and achieves information sharing among the various nodes to make them work together. Finally we give an example of the Byzantine overlay network wormholes attack to show the availability of the model.
Key words: Byzantine attacks; ontology; attacks detection
FENG Tao , SUN Guan-Nan , XIA Yan-Hui , MA Jian-Feng . Modeling and detection of ontology-based Byzantine attacks[J]. Journal of University of Chinese Academy of Sciences, 2011 , 28(5) : 696 -705 . DOI: 10.7523/j.issn.2095-6134.2011.5.019
[1] Lamport L, Shostak R, Pease M. The Byzantine general problems //Advances in Ultra-Dependable Distributed Systems. IEEE Computer Society Press, 1995.
[2] Hu, Perrig A, Johnson B, et al. Rushing attacksand defense in wireless ad hoc network routing protocols //ACM Workshop on Wireless Security (WiSe). 2003.
[3] Sharma S, Gupta R. Simultion study of blackhole attack in the mobile Ad Hoc network
[J].Journal of Engineering Science and Technology, 2009, 4(2):243-250.
[4] Baras J, Radosavac S, Theodorakopoulos G. Intrusion detection system resiliency to Byzantine attacks:the case study of wormholes in OLSR . U S Army Research Laboratory under the Collaborative Technology Alliance Program, 2008.
[5] Awerbuch B, Curtmola R, Holmer D, et al. ODSBR: an on-demand secure byzantine resilient routing protocol for wireless Ad Hoc networks
[J]. ACM Transactions on Information and System Security,2008,10(4):27-31.
[6] Newsome J, Song D, Perrig A, et al. The sybil attack in sensor networks: analysis & defenses // ACM. Berkeley, California, USA. 2004:26-27.
[7] Feng T, Ma J F.New approach against Sybil attack in wireless sensor hetworks
[J].Journal on Communications, 2008,29(6):13-19(in Chinese). 冯涛, 马建峰. 防御无线传感器网络Sybil 攻击的新方法
[J]. 通信学报, 2008,29(6):13-19.
[8] Undercoffer J, Joshi A, Pinkston J. Modeling computer attacks: an ontology for intrusion detection //Berlin, Heidelberg:Springer-Verlag,2003:131-135.
[9] Abdoli F, Meibody N, Bazoubandi R. An attacks ontology for computer and networks attack
[J].Innovations and Advances in Computer Sciences and Engineering, 2010: 473-476.
[10] Liu F H, Lee W T. Constructing enterprise information network security risk management mechanism by ontology
[J]. Tamkang Journal of Science and Engineering, 2010,13(1):79-87.
[11] Benali F, Legrand V, Ubéda S. An ontology for the management of heteregenous alerts of information system // 2007 International Conference on Security and Management (SAM’07). Las Vegas, USA, 2007.
[12] Perez A G, Benjamins V R. Overview of knowledge sharing and reuse components. ontologies and problem-solving methods // Proceedings of the IJCAI299 Workshop on Ontologies and Problem-Solving Methods (KRR5). 1999:1-15.
[13] Studer R, Benjamins V R, Fensel D. Knowledge engineering,principles and methods
[J]. Data and Knowledge Engineering, 1998: 161-197.
[14] Fikes R, McGuinness D L. An axiomatic semantics for RDF, RDFS, Owl .(2008) http://www.w3.org/TR/daml+oil-axioms.
[15] Awerbuch B, Curtmola R, Holmer D, et al. On the survivability of routing protocols in ad hoc wireless networks // Proc of Secure Comm IEEE. 2005.
[16] Awerbuch B, Curtmola R, Holmer D, et al. Mitigating Byzantine attacks in Ad Hoc wireless networks: technical report . Department of Computer Science, Purdue University. 2004.
[17] Rule ML Homepage (2010) http://www.ruleml.org/.
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