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| Title: | Generalized neuron based secure media access control protocol for wireless sensor networks | |
| Author (s): | Kulkarni, Raghavendra V. Venayagamoorthy, Ganesh K. Thakur, Abhishek V. Madria, Sanjay | |
| Department/Lab Affiliations: | Center for Aerospace Manufacturing Technologies Computer Science Electrical and Computer Engineering Intelligent Systems Center Real-Time Power and Intelligent Systems Laboratory | |
| Keywords: | GN denial-of-service attacks generalized neuron security wireless sensor networks | |
| Issue Date: | 2009-03 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | Kulkarni, Raghavendra V., Venayagamoorthy, Ganesh K., Thakur, Abhishek V., and Madria, Sanjay K. "Generalized neuron based secure media access control protocol for wireless sensor networks." IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009. MCDM '09, March 2009: 16-22. | |
| Abstract: | Security plays a pivotal role in most applications of wireless sensor networks. It is common to find inadequately secure networks confined only to controlled environments. The issue of security in wireless sensor networks is a hot research topic for over a decade. This paper presents a compact generalized neuron (GN) based medium access protocol that renders a CSMA/CD network secure against denial-of-service attacks launched by adversaries. The GN enhances the security by constantly monitoring multiple parameters that reflect the possibility that an attack is launched by an adversary. Particle swarm optimization, a popular bio-inspired evolutionary-like optimization algorithm is used for training the GN. The wireless sensor network is simulated using Vanderbilt Prowler, a probabilistic wireless network simulator. Simulation results show that the choice of threshold suspicion parameter impacts on the tradeoff between network effectiveness and lifetime. | |
| Type: | Article - Conference proceedings text | |
| In Title: | IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009. MCDM'09. | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. can upload final version FULL COPYRIGHT INFORMATION: | |
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| title | Generalized neuron based secure media access control protocol for wireless sensor networks | |
| contributor.author | Kulkarni, Raghavendra V. | |
| contributor.author | Venayagamoorthy, Ganesh K. | |
| contributor.author | Thakur, Abhishek V. | |
| contributor.author | Madria, Sanjay | |
| contributor.deptlab | Center for Aerospace Manufacturing Technologies | |
| contributor.deptlab | Computer Science | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Intelligent Systems Center | |
| contributor.deptlab | Real-Time Power and Intelligent Systems Laboratory | |
| contributor.sponsor | National Science Foundation | |
| subject | GN | |
| subject | denial-of-service attacks | |
| subject | generalized neuron | |
| subject | security | |
| subject | wireless sensor networks | |
| date.issued | 2009-03 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | Kulkarni, Raghavendra V., Venayagamoorthy, Ganesh K., Thakur, Abhishek V., and Madria, Sanjay K. "Generalized neuron based secure media access control protocol for wireless sensor networks." IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009. MCDM '09, March 2009: 16-22. | |
| identifier.pub.URI | ||
| description.abstract | Security plays a pivotal role in most applications of wireless sensor networks. It is common to find inadequately secure networks confined only to controlled environments. The issue of security in wireless sensor networks is a hot research topic for over a decade. This paper presents a compact generalized neuron (GN) based medium access protocol that renders a CSMA/CD network secure against denial-of-service attacks launched by adversaries. The GN enhances the security by constantly monitoring multiple parameters that reflect the possibility that an attack is launched by an adversary. Particle swarm optimization, a popular bio-inspired evolutionary-like optimization algorithm is used for training the GN. The wireless sensor network is simulated using Vanderbilt Prowler, a probabilistic wireless network simulator. Simulation results show that the choice of threshold suspicion parameter impacts on the tradeoff between network effectiveness and lifetime. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| relation.isPartOf | IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009. MCDM'09. | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | can upload final version | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| date.accessioned | 2009-06-08T17:15:32Z | |
| identifier.persist.URI | ||
| date.available | 2009-06-09T20:34:40Z | |
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