2018 International Conference on Computer Communication and Informatics (ICCCI)最新文献_第7页

Intrusion Detection and Prevention Based on State Context and Hierarchical Trust in Wireless Sensor Networks 基于状态上下文和分层信任的无线传感器网络入侵检测与防御

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441415

R. Maidhili, G. Karthik

{"title":"Intrusion Detection and Prevention Based on State Context and Hierarchical Trust in Wireless Sensor Networks","authors":"R. Maidhili, G. Karthik","doi":"10.1109/ICCCI.2018.8441415","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441415","url":null,"abstract":"This Wireless sensor networks (WSN) comprises of sensor nodes, deployed in a way to gather the information of environmental conditions from the surroundings. The dispersed quality, forwarding nature and their open source communication medium makes the wireless sensor networks deeply vulnerable which paves a way to various security attacks. Intrusion Detection System (IDS) can be an exemplary interpretation to encounter security attacks at various levels if the network. In WSNs a vulnerability is possible in selecting cluster head among the sensor nodes. Once the compromised sensor node is selected as cluster head which will lead to false communication with Base Station. IDS can neither prevent it nor respond to it, but only can detect it. IDS informs the controller to take necessary action by raising alarms if any attack is detected which is good but also leads to resource wastage and time consumption in the detection process. Prevention should be done at the launching state of the attack in order to scale down the resource wastage and time consumption. Initially the attacker launches the attack to get into the selection of cluster heads (CH) by broadcasting the control messages with fake information such as high energy and neighbor count. The false control messages are effectively detected and the attack is prevented which leads to a massive reduction of overall resource overhead while improving network performance. The experimental simulation work outputs, to detect the attacks at the base level and improves the network performance, to prevent the attack in order to reduce the resource overhead and to perform attack resident routing and data aggregation in WSN","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116971253","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: 3

Implementation of Novel Load Balancing Technique in Cloud Computing Environmen 新型负载均衡技术在云计算环境中的实现

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441212

N. Joshi, K. Kotecha, D. Choksi, Sharnil Pandya

引用次数: 10

A Management of power flow for DC Microgrid with Solar and Wind Energy Sources 太阳能和风能直流微电网潮流管理

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441324

K. Gowtham, C.V Sivaramadurai, P. Hariprasath, B. Indurani

引用次数: 7

FM Radio Antenna with Mobile Dish Antenna for Internet communication in Telemedicine 用于远程医疗网络通信的调频天线与移动碟形天线

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441314

S. Saravanan, P. Sudhakar

引用次数: 0

Effect of Centre Antenna Element on Array Factor Properties of the Deterministic Triangular Fractal Array Antenna 中心天线单元对确定性三角形分形阵列天线阵列因子特性的影响

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441318

V. A. S. Ponnapalli, V. Y. J. Pappu

引用次数: 1

Image Encryption: A Random Selection Approach 图像加密:一种随机选择方法

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441267

Sundararaman Rajagopalan, L. Chandrasekaran, Amirtharajan Rengarajan, Sivaraman Rethinam, S. Arumugham, Mohan Kandhaiya

{"title":"Image Encryption: A Random Selection Approach","authors":"Sundararaman Rajagopalan, L. Chandrasekaran, Amirtharajan Rengarajan, Sivaraman Rethinam, S. Arumugham, Mohan Kandhaiya","doi":"10.1109/ICCCI.2018.8441267","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441267","url":null,"abstract":"Digital data is a fundamental source of multimedia platform where image communication is a substantial part of it. Through image communication, information is transmitted and received on network in various fields like armed forces, military, healthcare, entertainment, and many more. To protect information, security architectures are necessary. This work proposes an enhanced method of gray scale image encryption where chaotic selection of encryption algorithm takes the priority. Confusion and diffusion is performed with four pseudo random sequence generators namely Chaotic logistic map, chaotic tent map, Linear Feedback Shift Register (LFSR) and combined chaotic map. Confusion phase is a constant operation in which logistic map generated random sequences are used to scramble the image. In diffusion phase, chaotic selection of random sequence generator is accomplished by a sum of four digits random number generated using logistic map. Then diffusion is performed by XORing the scrambled image with generated random sequences produced from respective generator. This image encryption scheme is designed using python 2.7 and validated by performing entropy, correlation, histogram, differential, encryption quality and NIST test analyses.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117324316","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: 0

SIFLC based control implementation of DSTATCOM 基于SIFLC的DSTATCOM控制实现

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441466

D. Suresh, K. Venkateswarlu, S. Singh

引用次数: 1

A Machine Learning Approach to the Detection and Analysis of Android Malicious Apps Android恶意应用检测与分析的机器学习方法

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441472

K. Shibija, Raymond Joseph

{"title":"A Machine Learning Approach to the Detection and Analysis of Android Malicious Apps","authors":"K. Shibija, Raymond Joseph","doi":"10.1109/ICCCI.2018.8441472","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441472","url":null,"abstract":"Today, the use of mobile phone is growing in all the areas and unfortunately, it made the mobile phones a continuous target of cyber attackers. The main source of these kinds of attack is the malicious applications which a user will be downloading from trusted mediums such as Playstore, App store and all. Considering the millions of applications, the play store is having, it is impossible to identify which one is malicious and which one is not for a user. Even after the installation, the user will not be able to understand the activities the application will be performing in the mobile device. A lot of problems are arising nowadays because of this and a lot of confidential information is getting leaked from the mobile device. So, it is important to have a platform where it should be able to distinguish a malicious app from the set of benign app. This system is a mobile android application which will be working based on machine learning. The application will perform both static and dynamic analysis to identify the malicious activities of an application. The static analysis is mainly focused on the manifest.xml file of an Android application and the dynamic analysis will be based on the actions it will be triggering while running on a mobile device. The system is capable of combining both static and dynamic analysis results. The main aim of this project is to develop an efficient and effective android mobile application with a high success rate of distinguishing malicious from benign applications.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604195","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

RESTful Motion Detection and Notification using IoT 使用物联网的RESTful运动检测和通知

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441423

R. Kodali, Venkata Sundeep Kumar Gorantla

引用次数: 19

Multi-Class Emotion Detection and Annotation in Malayalam Novels 马拉雅拉姆语小说中的多级情感探测与标注

2018 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 1900-01-01 DOI: 10.1109/ICCCI.2018.8441492

R. Jayakrishnan, G. N. Gopal, M. S. Santhikrishna

{"title":"Multi-Class Emotion Detection and Annotation in Malayalam Novels","authors":"R. Jayakrishnan, G. N. Gopal, M. S. Santhikrishna","doi":"10.1109/ICCCI.2018.8441492","DOIUrl":"https://doi.org/10.1109/ICCCI.2018.8441492","url":null,"abstract":"Sentiment analysis or opinion mining has been used widely in various applications like market analysis. Usually during sentiment detection the polarity of the sentiment either positive or negative is detected. Basically there are multiple classes of emotions and so emotion detection is different from sentiment analysis. Reading a novel for a visually impaired person with the help of a text to speech synthesizer is still a challenging task, since it was not possible to modulate the sound with respect to the emotion in the text or dialogue. Text to speech softwares can synthesize the speech signal to embrace the emotions if the emotion of that particular text was already annotated. Multi-Class emotion detection aims analyse different emotions hidden in the text data. Multi-class emotion classification in Indian languages was not experimented before. In this paper, an SVM classifier is used for sentence level multi-class emotion detection in Malayalam. The proposed approach uses different syntactic features such as n-gram, POS related, negation related, level related features etc, for better classification. The classifier classifies the Malayalam sentences into different emotion classes like happy, sad, anger, fear or normal etc. with level information such as high, low etc. It also states whether the sentence is dialogue, question or not for better hearing experience from a speech synthesiser while reading the novel.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122204156","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: 13