DocumentCode
1806669
Title
Insider DoS Attacks on Epidemic Propagation Strategies of Network Reprogramming in Wireless Sensor Networks
Author
Zhang, Yu ; Zhou, Xing She ; Law, Yee Wei ; Palaniswami, Marimuthu
Author_Institution
Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi´´an, China
Volume
2
fYear
2009
fDate
18-20 Aug. 2009
Firstpage
263
Lastpage
266
Abstract
Network reprogramming is a crucial service in wireless sensor networks (WSNs) that relies on epidemic strategy for spreading software updates by just having a local view of the networks. Securing the process of network reprogramming is essential in some certain WSNs applications, state-of-the-art secure network reprogramming protocols for WSNs aim for the efficient source authentication and integrity verification of code image, however, due to the resource constrains of WSNs, existing secure network reprogramming protocols are vulnerable to Denial of Service (DoS) attacks when sensor nodes can be compromised (insider DoS attacks). In this paper, we identify different types of DoS attacks exploiting the epidemic propagation strategies used by Deluge and propose corresponding analysis models to attempt to quantify the cost of these attacks damage. Simulation further shows the impact of insider DoS attacks on network reprogramming in WSNs.
Keywords
cryptographic protocols; message authentication; telecommunication security; wireless sensor networks; DoS attacks; denial of service attacks; epidemic propagation strategy; secure network reprogramming protocol; source authentication; wireless sensor network; Application software; Authentication; Computer crime; Computer science; Computer security; Cryptographic protocols; Image sensors; Information security; Spread spectrum communication; Wireless sensor networks; Deluge; DoS attacks; network reprogramming; security; sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3744-3
Type
conf
DOI
10.1109/IAS.2009.215
Filename
5283384
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