2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)最新文献_第9页

Advanced high speed optical pattern recognition for sur-veillance systems 用于监视系统的先进高速光学模式识别

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085723

E. Priya, N. N. Pragash

引用次数: 1

Design and analysis of 5.2 GHz rectangular microstrip patch array antenna using split ring resonator 基于分环谐振器的5.2 GHz矩形微带贴片阵列天线设计与分析

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085654

Swagata B. Sarkar

引用次数: 7

Background subtraction algorithm and image skeletonization based anomaly event detection for low resolution video 基于背景减去算法和图像骨架化的低分辨率视频异常事件检测

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085708

V. Murugan, V. Vijaykumar, S. Selvan

引用次数: 0

Mixed chaotic maps based encryption for high crypto secrecy 基于混合混沌映射的高保密性加密

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085697

S. Arivazhagan, W. Jebarani, S. Kalyani, A. Deiva Abinaya

引用次数: 1

Radio frequency anti-jamming capability improvement for cognitive radio networks: An evolutionary game theoretical approach 认知无线电网络射频抗干扰能力提升:一种进化博弈方法

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085719

B. Deepak, P. Bharathi, Dhananjay Kumar

{"title":"Radio frequency anti-jamming capability improvement for cognitive radio networks: An evolutionary game theoretical approach","authors":"B. Deepak, P. Bharathi, Dhananjay Kumar","doi":"10.1109/ICSCN.2017.8085719","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085719","url":null,"abstract":"A cognitive radio is a smart radio that can be programmed and adjusted dynamically on the fly to suit the contextual environmental needs. Many anti-jamming schemes available to protect the Cognitive Radio Networks from jamming attack uses frequency hopping techniques which are deterministic in nature. The deterministic frequency hopping technique is vulnerable to attack at some stage in the real-world scenario. The proposed anti-jamming system for cognitive radio network with adaptive frequency hopping technique efficiently thwarts the RF jamming attack. In the presences of a reactive jammer, two techniques are used to achieve the adaptive frequency hopping: (i) when channel availability reduces below 75 % the Hidden Markov Model (HMM) based algorithm is used, (ii) when the system is in critical state (i.e. channel availability reduces further below 25 %) the interaction between Cognitive radio node and the jammer is modelled using Evolutionary Game Theory (EGT). The results obtained from both models are improved further to find most suitable channel. The simulation results show that the anti-jamming system significantly decreases the probability of bit error to about 48% in the presences of reactive jammer.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340696","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: 4

Low leakage circuit design using bootstrap technique 采用自举技术设计低漏电电路

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085677

V. Sharma

引用次数: 0

Ensuring fishermen safety through a range based system by trizonal localization using low power RSSI 使用低功率RSSI进行区域定位，通过基于范围的系统确保渔民的安全

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085707

N. Reddy, G. Ramakrishnan, K. Rajeshwari

引用次数: 8

SLAMHHA: A supervised learning approach to mitigate host location hijacking attack on SDN controllers SLAMHHA:一种减轻SDN控制器主机位置劫持攻击的监督学习方法

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085680

R. Nagarathna, S. Shalinie

{"title":"SLAMHHA: A supervised learning approach to mitigate host location hijacking attack on SDN controllers","authors":"R. Nagarathna, S. Shalinie","doi":"10.1109/ICSCN.2017.8085680","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085680","url":null,"abstract":"Current era of networking world witnesses an increase in the number of devices that have intelligent component embedded in them, which leads to an unmanageable state. This has lead to a steady shift towards using Open Software Defined Networks to reduce operational expenditure. The whole of the intelligence lies in the central controller which obviously is the single point of failure. The attackers find it easy to bring down the whole network by saturating the control plane of the SDN which eventually leads to denial-of-service (DoS) to the data plane, through host location hijacking attack. The various strategies proposed to defend the SDN controller from host location hijack attack includes authentication of host which incurs overhead. In this paper we propose SLAMHHA, a Supervised Learning Approach to Mitigate Host location Hijacking Attack. SLAMHHA is implemented in the SDN controller which monitors the legitimacy of the hosts and identifies the clandestine users impersonating the hosts in the data plane. The SLAMHHA algorithm can be implemented in either of the two SDN controller setup (i.e.) in both centralized and decentralized controller setup, been used to set the flow rules and monitor the underlying network. MININET has been used to test the efficiency of the SLAMHHA algorithm. SLAMHHA algorithm was implemented in the POX controller. Numerical results show that SLAMHHA incurs less overhead in terms of CPU and memory consumption when compared to the authentication method. This algorithm blocks the attack within 3 seconds when 100 hosts are impersonated to perform DoS attack. Thus our proposed SLAMHHA algorithm mitigates the host location hijacking attack with less overhead.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132357361","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: 15

Analysis of structural connectivity on progression of Alzheimer's disease using diffusion tensor imaging 利用弥散张量成像分析阿尔茨海默病进展中的结构连通性

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085686

R. Chitra, K. Bairavi, V. Vinisha, A. Kavitha

{"title":"Analysis of structural connectivity on progression of Alzheimer's disease using diffusion tensor imaging","authors":"R. Chitra, K. Bairavi, V. Vinisha, A. Kavitha","doi":"10.1109/ICSCN.2017.8085686","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085686","url":null,"abstract":"The occurrence of Alzheimer's disease (AD) in the elderly individuals has been increasing at an alarming rate throughout the world over the past decade. Diffusion Tensor Imaging (DTI) has been widely used to study the white matter tracts in the human brain and for the estimation of structural connectivity parameters through the progression of the disease. Previous studies using fMRI focus on functional decline and adding on to this, DTI helps in analyzing the topological and structural integrity. Histopathological studies of the disease have revealed that major cortical neuronal loss occurred in Corpus Callosum and Cingulate Gyrus regions of the brain. In this work, DTI images of four AD patients for three progressive years have been obtained and the structural connectivity parameters namely: Fractional Anisotropy (FA), Axial Diffusivity, Radial Diffusivity and Mean Diffusivity have been estimated at the onset of the disease and for the three progressive years. Results show that the FA values decreased in the progressive years for all patients whereas the diffusivity parameters increased every year showing abnormalities in the connectivity parameters.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133476970","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: 2

Image contrast enhancement by automatic multi-histogram equalization for satellite images 基于自动多直方图均衡化的卫星图像对比度增强

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085722

A. Pugazhenthi, L. S. Kumar

引用次数: 8