Conference Paper

Detecting Sybil attacks in image senor network using cognitive intelligence.

DOI: 10.1145/1287731.1287746 Conference: Proceedings of the First ACM Workshop on Sensor and Actor Networks, SANET 2007, Montréal, Québec, Canada, September 10, 2007
Source: DBLP

ABSTRACT Abstract - Wireless Sensor Network (WSN) is appliedin many indoor and outdoor applications, such as military, building security surveillance system, environmenta l monitoring, health-care etc. In this paper, an Imag e Sensor Network (ISN) under Sybil attack is analyzed and a novel detection mechanism,using,hypothesis testing with Cognitive Intelligence is proposed. The performance of the application solely depends,on,accurately identifyin g images under harsh environmental conditions. Since the network changes over time, a cognitive algorithm, Swarm intelligence (SI) is used in detecting and re-routi ng the image co-efficients. The proposed method, does not require any additional hardware, hence the survivability

0 Bookmarks
 · 
83 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, an ultra-wideband waveform that is designed for optimum power and communication protocol that utilizes cognitive processing to make intelligent communication parameter decisions is proposed for wireless sensor application. Due to multiple objectives such as adaptive data rate, power control and quality-of-service, the message transmission becomes a non-deterministic polynomial computation time hard problem requiring cognitive processing. Thus a swarm algorithm that provides an optimal and reliable solution is applied. The low-cost, low-power hardware Bi-pulse-ultra-wideband is resilient to multipath fading, which occurs due to the wall-penetration, shadowing and propagation loss. The designed cross layer protocol incorporates the signal's physical properties. Hence, a cross layer protocol helps to balance the throughput while reducing latency, sensor resources thus longevity of network is attained.
    Swarm Intelligence Symposium, 2009. SIS '09. IEEE; 05/2009
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, an ultra-wideband based sensor network for an emergency responder system is analyzed. Due to multiple objectives such as adaptive data rate, power control and quality-of-service the message transmission can be framed as a non-deterministic polynomial computation time hard problem. Thus a meta-heuristic algorithm is applied to obtain a reliable and optimal solution. The designed cross layer protocol incorporates the signalpsilas physical properties. thus balancing the throughput while reducing latency, sensor resources thus longevity of network is attained.
    Swarm Intelligence Symposium, 2008. SIS 2008. IEEE; 10/2008
  • [Show abstract] [Hide abstract]
    ABSTRACT: Distributed, autonomous and energy efficient protocols are best suited for wireless sensor networks, where network needs and events are dynamic. In this paper, a wireless face recognition system with limited resources such as energy, memory and bandwidth is analyzed. The performance of the applications is influenced by the protocol adaptability and quality of information. Performance comparisons are completed using 1. In-network image compression using Contourlet and Wavelet transforms versus raw image data transmission, 2. longevity of sensors versus network throughput. Balancing resource constraints, maintaining network lifetime and throughput is a non-deterministic polynomial computation time problem. Thus a meta-heuristic combinatorial algorithm, based on swarm intelligence, forms the cognitive routing protocol. The network efficiency considers energy consumption, response time, probability of correct acceptance, processing and computation time for wireless image transmission.
    Multidimensional Systems and Signal Processing 06/2009; 20(2):165-182. · 1.58 Impact Factor

Full-text (3 Sources)

Download
24 Downloads
Available from
May 28, 2014