2015 International Conference on Signal Processing and Communication (ICSC)最新文献_第9页

QPSO for synthesis of linear array of isotropic antennas to generate flat-top beam including multiple null placement 基于QPSO的各向同性天线线性阵列合成方法，可产生平顶波束

2015 International Conference on Signal Processing and Communication (ICSC) Pub Date : 2015-03-16 DOI: 10.1109/ICSPCOM.2015.7150617

Hemant Patidar, G. K. Mahanti

引用次数: 5

Simulating MATLAB system models in PSpice 在PSpice中模拟MATLAB系统模型

2015 International Conference on Signal Processing and Communication (ICSC) Pub Date : 2015-03-16 DOI: 10.1109/ICSPCOM.2015.7150668

Parag Choudhary, Abha Jain

引用次数: 0

Timing offset estimation using pilot sequence for UWB-IR receivers in IEEE 802.15.4a channel model IEEE 802.15.4a信道模型下UWB-IR接收机的导频时序估计

2015 International Conference on Signal Processing and Communication (ICSC) Pub Date : 2015-03-16 DOI: 10.1109/ICSPCOM.2015.7150636

Saurabh Dhiman, Anshul Tyagi

引用次数: 6

Secure data aggregation and intrusion detection in wireless sensor networks 无线传感器网络中的安全数据聚合与入侵检测

2015 International Conference on Signal Processing and Communication (ICSC) Pub Date : 2015-03-16 DOI: 10.1109/ICSPCOM.2015.7150633

P. Vamsi, K. Kant

{"title":"Secure data aggregation and intrusion detection in wireless sensor networks","authors":"P. Vamsi, K. Kant","doi":"10.1109/ICSPCOM.2015.7150633","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2015.7150633","url":null,"abstract":"Data Aggregation (DA) is a technique of data gathering in Wireless Sensor Networks (WSNs). It provide advantages such as reporting consolidated data, reducing data redundancy, improving network lifetime etc. However, deploying WSNs in hostile and remote environments presents security vulnerabilities that can lead to various security attacks such as energy based attacks, attacks on data aggregation etc. Numerous secure DA techniques have been proposed in the literature. However, lightweight models using Trust Monitoring System (TMS) and Intrusion Detection Systems (IDS) are limited. This paper presents a secure data aggregation framework for Wireless Sensor Networks (WSNs) using TMS at node level and IDS at Base Station (BS) side. Each node in the network assesses the behavior of its neighbors using trust ratings and performs the network activities such as cluster head selection, data aggregation, and reporting to the BS. Then, BS analyzes the received information using IDS and reports the information about the malicious activities back to nodes in the network. In this way, the proposed model identifies and isolates the malicious nodes from the data aggregation process. Simulation results show the effectiveness of this model.","PeriodicalId":318875,"journal":{"name":"2015 International Conference on Signal Processing and Communication (ICSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129811585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Recent trends in energy harvesting for green wireless sensor networks 绿色无线传感器网络能量收集的最新趋势

2015 International Conference on Signal Processing and Communication (ICSC) Pub Date : 2015-03-16 DOI: 10.1109/ICSPCOM.2015.7150616

P. Jain

引用次数: 15