An Enhanced Bio-inspired Trust and Reputation Model for Wireless Sensor Network

Abstract Wireless Sensor Networks (WSNs) are designed to perform a variety of information processing functionalities. Security is one of the major concerns for WSNs. This study focuses on trust and reputation system management. The proposed approach entitled Enhanced Bio-inspired Trust and Reputation Model (EBTRM), is Bio-inspired and extending Trust and Reputation Model (BTRM-WSN) and Peer Trust System. The objective of the current proposed system is to provide an efficient security solution to WSN which can provide a high level of security taking into account energy conservation.

[1]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[2]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[3]  John S. Baras,et al.  On Trust Establishment in Mobile Ad-Hoc Networks , 2002, Security Protocols Workshop.

[4]  JeongGil Ko,et al.  Wireless Sensor Networks for Healthcare , 2010, Proceedings of the IEEE.

[5]  D. Collard,et al.  Trust : making and breaking cooperative relations , 1989 .

[6]  Gregorio Martínez Pérez,et al.  Providing trust in wireless sensor networks using a bio-inspired technique , 2011 .

[7]  Ivan Stojmenovic,et al.  Handbook of Sensor Networks: Algorithms and Architectures , 2005, Handbook of Sensor Networks.

[8]  Jie Wu,et al.  Reputation and Trust-based Systems for Ad Hoc and Sensor Networks , 2006 .

[9]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.

[10]  F. G. Marmol,et al.  TRMSim-WSN, Trust and Reputation Models Simulator for Wireless Sensor Networks , 2009, 2009 IEEE International Conference on Communications.

[11]  Chrysanthos Dellarocas,et al.  Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms , 2011, EC '01.

[12]  Edgar H. Callaway,et al.  Wireless Sensor Networks: Architectures and Protocols , 2003 .

[13]  Marco Dorigo,et al.  Ant colony optimization , 2006, IEEE Computational Intelligence Magazine.

[14]  S. Marti,et al.  Taxonomy of trust : Categorizing P 2 P reputation systems q , 2005 .

[15]  C. Badcock,et al.  Trust : making and breaking cooperative relations , 1989 .

[16]  Ling Liu,et al.  PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities , 2004, IEEE Transactions on Knowledge and Data Engineering.

[17]  Diego Gambetta Can We Trust Trust , 2000 .

[18]  Félix Gómez Mármol,et al.  Towards pre-standardization of trust and reputation models for distributed and heterogeneous systems , 2010, Comput. Stand. Interfaces.

[19]  Stephen Hailes,et al.  Supporting trust in virtual communities , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[20]  Ace Dimitrievski,et al.  Security Issues and Approaches in WSN , 2009 .

[21]  Loren Schwiebert,et al.  Introduction to Wireless Sensor Networking , 2005, Handbook of Sensor Networks.

[22]  Mauro Birattari,et al.  Dm63 Heuristics for Combinatorial Optimization Ant Colony Optimization Exercises Outline Ant Colony Optimization: the Metaheuristic Application Examples Generalized Assignment Problem (gap) Connection between Aco and Other Metaheuristics Encodings Capacited Vehicle Routing Linear Ordering Ant Colony , 2022 .