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  • 标题:A Novel Approach Based Anomaly Detection for Secure Data Aggregation Using HEED Algorithm
  • 本地全文:下载
  • 作者:S.Kannadhasan ; J.Sangeetha ; K.Niranjana
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:749-751
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Secure Data aggregation in wireless sensor networks (WSNs) have challenging task in Wireless Sensor Networks. WSN have numerous nodes with limited energy in a particular area are the major issues is increasing the network life time. In this paper, we propose the system monitoring modules and intrusion detection modules in WSN. We propose an HEED Algorithm based mechanism to detect false injected data for the following have challenging high potential, high packet loss rate, harsh environment, and sensing uncertainty. HEED Algorithm to create effective local detection mechanisms based the theoretical threshold. We conduct experiments and simulations to evaluate local detection mechanisms under different aggregation functions. Our proposed technique has improved the throughput with reduced packed drop, less number of packet delivery ratio and also less energy consumption in these networks. Our Technique is evaluated through NS2 Network Simulator.
  • 关键词:Intrusion Detection; WSN; HEED Algorithm
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