2021 International Conference on Computing Sciences (ICCS)最新文献

A Pre-processing Model for Feature Extraction Based on K-mean, PSO and ABC 基于k -均值、粒子群和ABC的特征提取预处理模型

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00031

Mrinalini Rana, Jimmy Singla

引用次数: 0

Reviewers: ICCS 2021 审稿人:ICCS 2021

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/iccs54944.2021.00060

引用次数: 0

On a Way Together - Database and Machine Learning for Performance Tuning 在一起的路上-数据库和机器学习的性能调优

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00032

Cherry Khosla, B. Saini

引用次数: 0

Business Intelligence Techniques Using Data Analytics: An Overview 使用数据分析的商业智能技术:概述

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00059

Pooja Mallam, Ashu Ashu, Baljeet Singh

引用次数: 0

Methods of Sentiment Analysis for Hindi and English Languages 印地语和英语情感分析方法

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00065

Aarsh Agrawal, Vinay Bhardwaj

{"title":"Methods of Sentiment Analysis for Hindi and English Languages","authors":"Aarsh Agrawal, Vinay Bhardwaj","doi":"10.1109/ICCS54944.2021.00065","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00065","url":null,"abstract":"Social media is widely regarded as one of the most important unstructured data. Analyzing and extracting meaning from such data is a time-consuming process. Because of the enormous data available on social media platforms, sentiment extraction has gotten a lot of attention. Microblogging is a relatively new phenomenon, with Twitter being the most widely utilized. It's one of the most comprehensive free and open data sources available. Today's society sees a lot of differing viewpoints on Twitter. Researchers can use opinion mining to obtain the present emotion and mood of the public. Sentiment Analysis is defined as the technique of extracting and finding the polarity of a given material to get insight into the hidden information, emotion, feeling contained within a text. The ultimate objective of sentiment analysis is to extract meaningful material from various sources of information. The first analysis of tweets was done using the Natural Language Processing (NLP) method. For further analysis of the opinionated data, two approaches are available: the Lexicon Based Approach (LBA) and the Machine Learning Approach (MLA) based on supervised learning. The LBA approach employs a resource dictionary, namely the Hindi SentiWordNet, and a Hybrid Based Approach (HBA) that joins the Lexicon based and Machine learning for categorizing tweets as positive or negative","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131454","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

Analysis of Network Attacks at Data Link Layer and its Mitigation 数据链路层网络攻击分析及防范

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00061

Ravi Shanker, Aman Singh

{"title":"Analysis of Network Attacks at Data Link Layer and its Mitigation","authors":"Ravi Shanker, Aman Singh","doi":"10.1109/ICCS54944.2021.00061","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00061","url":null,"abstract":"Various packet capturing tools are available to capture packets in the form of datasets and several well-known datasets available now a day for benchmarking the network attacks for intrusion detection system and attracted the researchers to further analyse these attacks for future attacks also. These datasets contain several parameters that can be utilized for identification of attack at cross layers. Here the cross layer refers the data link layer, network layer, transport layer and application layer. These datasets can be used in research for identification and automation of novel attack. This paper concentrates on the attack types and classification of network attacks on data link layer. Post analysis will investigate the possibility of using Snort as intrusion detection tool for identifying attack at data link layer. Snort generally works at network layer and above so not all data link layer attack can be identified by IDS. For the current work a various solution already researched will be put together to analyse attack at data link layer with the help of Snort. This analysis will help in understanding the possibility to put together various attack at data link layer using Snort or provide already suggested solution done by various researcher.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117261090","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

Machine Learning-Based Heart Patient Scanning, Visualization, and Monitoring 基于机器学习的心脏病人扫描、可视化和监测

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00049

Ahmed Al Ahdal, D. Prashar, Manik Rakhra, Ankita Wadhawan

引用次数: 8

Face Spoof Detection Using Gray Level Co-Occurrence Matrix and Discrete Wavelet Transform Feature Extractor 基于灰度共生矩阵和离散小波变换特征提取的人脸欺骗检测

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00011

Amal Mathew, Kaushik Daiv, Polkumpally Rohan Goud, Piyush Talreja, Sai Sanjana Reddy Vatte

引用次数: 0

Combining Blockchain Multi Authority and Botnet to Create a Hybrid Adaptive Crypto Cloud Framework 结合区块链多授权和僵尸网络创建混合自适应加密云框架

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00028

Ravikumar Ch, Isha Batra, A. Malik

引用次数: 0

A Comparative Analysis of Various Models for Assessment of Trust in Digital Age Accelerated by Covid-19 新型冠状病毒肺炎加速的数字时代各种信任评估模型比较分析

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00039

Aseem Kumar, A. Malik

{"title":"A Comparative Analysis of Various Models for Assessment of Trust in Digital Age Accelerated by Covid-19","authors":"Aseem Kumar, A. Malik","doi":"10.1109/ICCS54944.2021.00039","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00039","url":null,"abstract":"The Coronavirus pandemic has made Irreversible changes in our society and the business world. Almost all aspects of the business and daily routine have shifted to the digital platforms and various forms of personal, indirect communications and suit the current environment in guarding us against coronavirus. The outbreak also brought a refreshing load of creativity in the people who found new ways to solve everyday problems. The key to solving problems is effective communication. With the help of mobile devices and computers, people were able to change their environment so that their expression of thoughts and their tasks of daily routine got aligned with social media platforms. People express themselves as if they are not going to get another chance to express themselves. They use doodles, poetic tweets, and many other forms of colloquial language. Using mixed language such as Hinglish became a norm for the commoner. In this research work, an attempt has been made to review techniques that can be used to work trust models from which meaning insights can be drawn in times such as covid-19 pandemic. From this study it can be inferred that no single approach of modeling complex scenarios such trust in times of covid-19 can be done. There is an urgent need to take inspiration from multiple techniques and approaches to assess the trust level in the digital society.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122361889","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