Mohamed, Y.A. and Abdullah, A.B. (2008) Biologically inspired model for securing hybrid mobile ad hoc networks. In: UNSPECIFIED.
Full text not available from this repository.Abstract
immunology inspiration has been more flourishing in helping to put up the wonderful defense, basically in securing ad hoc networks. Imperfect detection, anomaly detection, memory response, diversity, and adaptive detection, all are some of the immune features that offer a worthy concept for solving security problems. The essence of the immune system is the ability to discriminate between the self (legitimate users, corrupted data, etc.), and nonself (unauthorized users, viruses etc.) 1, moreover, all these attractive features amazed the researcher from which immune inspiration comes. We believe that ad hoc networks need a stronger, decentralized security system; this can be achieved if some of the immune system features are applied. Furthermore, ad hoc networks have no clear line of defense and no fixed infrastructure, so the known security techniques used for cabled networks might not work perfectly. A security architecture based on both immunity and multi-agent paradigm is presented. In this paper, distributability, second response, and self recovery are the hallmarks of the proposed security model which places emphasis on high nodes mobility. © 2008 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 3; Conference of 2008 International Symposium on High Capacity Optical Networks and Enabling Technologies, HONET 2008 ; Conference Date: 18 November 2008 Through 20 November 2008; Conference Code:76434 |
Uncontrolled Keywords: | Adaptive detection; Anomaly detection; Biologically inspired models; Corrupted data; Immune systems; Legitimate users; Multi-Agent; Security Architecture; Security model; Security problems; Self recovery; Techniques used; Unauthorized users, Immunology; Lithium batteries; Mobile ad hoc networks; Mobile telecommunication systems; Optical materials; Wireless telecommunication systems, Ad hoc networks |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:16 |
Last Modified: | 09 Nov 2023 15:16 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/376 |