2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)最新文献

Community Detection Metrics and Algorithms in Social Networks 社交网络中的社区检测指标和算法

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703215

Himansu Sekhar Pattanayak, H. Verma, A. L. Sangal

引用次数: 6

Statistical Models for Predicting Chikungunya Incidences in India 预测印度基孔肯雅病发病率的统计模型

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703218

Shobhit Verma, N. Sharma

引用次数: 12

Investigation of Performance of Savitzky-Golay Filter for Speckle Reduction in Ultrasound Images 超声图像中Savitzky-Golay滤波器降噪性能的研究

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703303

Simarjot Kaur Randhawa, R. K. Sunkaria

引用次数: 2

Convolutional Neural Network (CNN) for Image Detection and Recognition 卷积神经网络(CNN)用于图像检测和识别

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703316

Rahul Chauhan, K. Ghanshala, R. Joshi

引用次数: 192

Detection Of Concealed Weapons Using Image Processing Techniques: A Review 基于图像处理技术的隐蔽武器检测研究进展

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703346

R. Mahajan, Devanand Padha

引用次数: 6

Text Extraction from Indian and Non-Indian Natural Scene Images: A Review 印度和非印度自然场景图像的文本提取综述

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703369

Shilpa Mahajan, Rajneesh Rani

引用次数: 3

Fractal Elliptical Monopole Antenna for Wi-Fi, WiMax and WLAN 分形椭圆单极天线用于Wi-Fi, WiMax和WLAN

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703284

S. Khade, P. Zade, S. Badjate

引用次数: 0

ICSCCC 2018 Title Page ICSCCC 2018标题页

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/icsccc.2018.8703361

引用次数: 0

Sentiment Analysis of Social Media Reviews using QOS Parameterization 基于QOS参数化的社交媒体评论情感分析

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703351

Jaspreet Singh, Gurvinder Singh

{"title":"Sentiment Analysis of Social Media Reviews using QOS Parameterization","authors":"Jaspreet Singh, Gurvinder Singh","doi":"10.1109/ICSCCC.2018.8703351","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703351","url":null,"abstract":"The exponential growth of content on social media raised the need for evaluation of user reviews to recognize the underlying sentiments. The traditional Natural Language Processing (NLP) techniques necessitate novel Quality of Service (QoS) parameters from the aspect based reviews. The classical methods espouse QoS parameters acquired from feedback system where, a predefined range of questions affects the authenticity of sentiments. This paper proposes the method of evaluation that assimilates aspect related QoS parameters obtained from user reviews. The pre-processing phase of our proposed model involves steps like review cleaning followed by word tokenization, stemming, and stop-word removal. Pre-processed set of word tokens go through Parts Of Speech (POS) tagging using Stanford POS tagger. Post-processing phase leverages standard NLP and Machine Learning (ML) techniques to identify the prominent QoS features. However, the task of sentiment classification exploits Natural Language Toolkit (NLTK) but, the impact of relevant terms in a review is learned using Logistic Regression (LR). The efficacy of proposed model is evaluated using a real world dataset and the results confirm the effectiveness of introduced QoS features.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115904825","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: 1

Analyzing Complex Non-Trivial Network using Attack Set Generation by Genetic Algorithm 利用遗传算法生成攻击集分析复杂非平凡网络

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703313

Zeenia, Jagmeet Singh Aidan, Urvashi Garg

{"title":"Analyzing Complex Non-Trivial Network using Attack Set Generation by Genetic Algorithm","authors":"Zeenia, Jagmeet Singh Aidan, Urvashi Garg","doi":"10.1109/ICSCCC.2018.8703313","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703313","url":null,"abstract":"Nowadays, security of the networks is one of the major concern. Attack paths in an attack graph give a way to get a view of the big network, illustrating all the possible vulnerabilities in a network, from a security point of view. This paper proposes a new methodology for finding all the possible attack paths in a graph. It helps us in identifying most desirable and least desirable attack paths by the attacker, which will give network administrators a view for securing their network. Some researchers have used a genetic algorithm (GA) for finding the attack paths as GA helps us in providing a fast way to generate the possible list of solutions in very less time. We have also used this genetic algorithm but in a different, better and modified way for our approach by introducing a new scheme of backward mutation, with 100 percent GA operators(crossover, mutation) rate and by also modifying the phases of GA for generating fast results. By performing experiments, our new modified approach for GA is producing 7 percent (approx.) more solutions by keeping same parameters as that of existing GA. Other algorithms may also tell us about all attack paths but they will either be slow or may miss out some attack paths in a network.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131975612","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