IPHDBCM: Inspired Pseudo Hybrid DNA Based Cryptographic Mechanism to Prevent Against Collabrative Black Hole Attack in Wireless Ad hoc Networks
Erukala Suresh Babu,
C. Nagaraju and
M.H.M. Krishna Prasad
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Erukala Suresh Babu: K.L. University, Vijayawada, India
C. Nagaraju: Y.V. University, Proddutur, India
M.H.M. Krishna Prasad: J.N.T. University, Kakinada, India
International Journal of Information Security and Privacy (IJISP), 2016, vol. 10, issue 3, 42-66
Abstract:
Secure communication is one of the basic requirements for any network standard. Particularly, cryptographic algorithms have gained more popularity to protect the communication in a hostile environment. As the critical information that is being transferred over the wireless adhoc networks can be easily acquired and is vulnerable to many security attacks. However, several security communication threats had been detected and defended using conventional symmetric and asymmetric cryptographic mechanism, which are too difficult and resource consuming for such mobile adhoc networks. Recently, one of the severe security threats that have to be detected and defend in any type of network topology is blackhole attack and cooperative blackhole. Because of its severity, the black hole attack has attracted a great deal of attention in the research community. Comprehensively the results of the existing system conclude that the black hole attack on various mobile adhoc networks is hard to detect and easy to implement. This paper addresses to detect and defend the blackhole attack and cooperative blackhole attack using hybrid DNA-based cryptography (HDC) mechanism. Moreover, the proposed method upsurge the security issue with the underlying AODV routing protocol. Eventually, This Hybrid DNA-based Cryptography (HDC) is one of the high potential candidates for advanced wireless ad hoc networks, which require less communication bandwidth and memory in comparison with other cryptographic systems. The simulation results of this proposed method provide better security and network performances as compared to existing schemes.
Date: 2016
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