2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)最新文献_第2页

Comparative analysis of PWM/PFM controlled SMPS using Matlab Simulink 利用Matlab Simulink对PWM/PFM控制的SMPS进行对比分析

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085657

S. V. vasantha Rani, R. Thangam

引用次数: 2

Interdependency analysis of angle of UE movement and inter-site-distance on configuration of handover control parameter in LTE-A HetNets LTE-A HetNets中终端移动角度与站点间距离对切换控制参数配置的相互依赖分析

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085721

A. Priyadharshini, P. Bhuvaneswari

引用次数: 2

Virtual reality based neuro-rehabilitation for mental stress reduction 基于虚拟现实的神经康复治疗减轻精神压力

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085665

A. Taneja, S. Vishal, V. Mahesh, B. Geethanjali

引用次数: 9

Design of orthogonal dual port UWB MIMO antenna with IEEE 802.11ac band notch characteristic 设计具有 IEEE 802.11ac 频带凹口特性的正交双端口 UWB MIMO 天线

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085730

G. Irene, A. Rajesh

引用次数: 0

Extenuating web vulnerability with a detection and protection mechanism for a secure web access 通过检测和保护机制减轻web漏洞，实现安全的web访问

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085652

K. Vijayalakshmi, A. Leema

{"title":"Extenuating web vulnerability with a detection and protection mechanism for a secure web access","authors":"K. Vijayalakshmi, A. Leema","doi":"10.1109/ICSCN.2017.8085652","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085652","url":null,"abstract":"Web Application Security is a serious issue like network security and it cannot be neglected. In the last few decades the world have seen an unprecedented period of technological growth and information access. Unfortunately, along with the technological growth the threats have also increased and the awareness and readiness to deal with them have not kept pace. According to the latest revision of OWASP on July 15, 2016, the top most three web attacks are Injection, Broken authentication and session management, XSS Attacks i.e., Cross-site scripting attacks. Cross-site scripting attacks are a leading online threat. The aim of this attack is to exploit vulnerabilities in the websites which the victim visits. By compromising legitimate websites with malicious content that can capture keystrokes and record user's login information and password. If the login information and password are captured, then the personal data could be compromised. Cross-Site Scripting is the most common attack that allows the attacker to insert a malevolent code in a web page which is then used to affect the visitors of the browser and then the inserted code steals the sensitive information automatically and embezzles the delicate information. In order to prevent the XSS attack, many solutions have been suggested and most of them used are the filters that cleans the malicious input. But many of these filters do not provide prevention to the emerging attacks. Inspired by this attack, the paper proposes and implements an approach based on Extenuating Web Vulnerability with a detection and protection mechanism for a secure web access. This defending mechanism is an effective solution for extenuating web vulnerability for a secure web access.","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":"130627540","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: 7

Conversion of speech to Braille: Interaction device for visual and hearing impaired 语音到盲文的转换:视觉和听觉受损的交互装置

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085740

V. A. Devi

引用次数: 10

FLANN: Fast approximate nearest neighbour search algorithm for elucidating human-wildlife conflicts in forest areas FLANN:快速近似最近邻搜索算法用于阐明森林地区人类与野生动物的冲突

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085676

D. Suju, Hancy Jose

引用次数: 20

Enhancement of interpolation mechanism in large and scalable images 在大型和可扩展图像的插值机制的增强

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085683

A. Ramesh, A. Karpagam, M. Manikandan

引用次数: 0

Medical image processing to detect breast cancer — A cognitive-based investigation 医学图像处理检测乳腺癌-一项基于认知的研究

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085698

D. Saranyaraj, M. Manikandan

引用次数: 3

Vision based feature diagnosis for automobile instrument cluster using machine learning 基于视觉的汽车仪表盘特征诊断

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085671

M. Deepan Raj, V. S. Kumar

{"title":"Vision based feature diagnosis for automobile instrument cluster using machine learning","authors":"M. Deepan Raj, V. S. Kumar","doi":"10.1109/ICSCN.2017.8085671","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085671","url":null,"abstract":"This papers deals with an advanced and effective approach for testing system, by utilizing the hardware-in-the-loop (HIL) with the vision based machine learning technique to make end to end automation in the feature diagnosis and validation of automotive instrument clusters. Recently, numerous HIL systems are in practice for simulating the vehicle networks in real time, by providing necessary signals based on the test cases. There are many approaches to tap the signal from the instrument cluster before it gets displayed, and based on the test case the signal that is captured will be compared with the expected value. The current approaches deal only at the software level and fails in identifying the faults in the end display unit of cluster. The proposed method uses vision based machine learning system to monitor the cluster visually thereby identifying faults in cluster at the end product level. This approach greatly eases the task of testing for more number of units by making onerous repeated test without any human intervention, as the current testing method needs human approval for each and every test case which is tedious task to do.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"2 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":"134021451","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: 5