International Journal of Computer and Communication Technology最新文献_第2页

Security Life Cycle framework for Exploring & Prevention of Zero day attacks in Cyberterrorism 探索和预防网络恐怖主义零日攻击的安全生命周期框架

International Journal of Computer and Communication Technology Pub Date : 2023-07-01 DOI: 10.47893/ijcct.2023.1439

Bassam Mohammad Elzaghmouri, A. Habboush

{"title":"Security Life Cycle framework for Exploring & Prevention of Zero day attacks in Cyberterrorism","authors":"Bassam Mohammad Elzaghmouri, A. Habboush","doi":"10.47893/ijcct.2023.1439","DOIUrl":"https://doi.org/10.47893/ijcct.2023.1439","url":null,"abstract":"The rise of cyber terrorism poses a significant threat to governments, businesses, and individuals worldwide. Cyber terrorists use information technology to carry out attacks that range from simple hacking attempts to more sophisticated attacks involving malware, ransomware, and zero-day exploits. This paper aims to provide an in-depth understanding of cyber terrorism, with a special focus on zero-day attacks. As the world becomes more digitized and automated, it brings convenience to everyone's lives. However, it also leads to growing concerns about security threats, including data leakage, website hacking, attacks, phishing, and zero-day attacks. These concerns are not only for organizations, businesses, and society, but also for governments worldwide. This paper aims to provide an introductory literature review on the basics of cyber-terrorism, focusing on zero-day attacks. The paper explores the economic and financial destruction caused by zero-day attacks and examines various types of zero-day attacks. It also looks at the steps taken by international organizations to address these issues and the recommendations they have made. Additionally, the paper examines the impact of these externalities on policymaking and society. As cyber-security becomes increasingly important for businesses and policymakers, the paper aims to delve deeper into this aspect, which has the potential to threaten national security, public life, and the economic and financial stability of developed, developing, and underdeveloped economies.","PeriodicalId":220394,"journal":{"name":"International Journal of Computer and Communication Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015917","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

Employee Attrition System Prediction using Random Forest Classifier 基于随机森林分类器的员工流失系统预测

International Journal of Computer and Communication Technology Pub Date : 2023-06-01 DOI: 10.47893/ijcct.2023.1445

Soumen Nayak, Pranati Palai

引用次数: 0

Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach. 基于逻辑回归和合成少数过采样技术(SMOTE)方法的信用卡欺诈检测。

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1438

Nrusingha Tripathy, S. Nayak, Julius Femi Godslove, Ibanga Kpereobong Friday, Sasank Sekhar Dalai

{"title":"Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach.","authors":"Nrusingha Tripathy, S. Nayak, Julius Femi Godslove, Ibanga Kpereobong Friday, Sasank Sekhar Dalai","doi":"10.47893/ijcct.2022.1438","DOIUrl":"https://doi.org/10.47893/ijcct.2022.1438","url":null,"abstract":"Financial fraud is a serious threat that is expanding effects on the financial sector. The use of credit cards is growing as digitization and internet transactions advance daily. The most common issues in today's culture are credit card scams. This kind of fraud typically happens when someone uses someone else's credit card details. Credit card fraud detection uses transaction data attributes to identify credit card fraud, which can save significant financial losses and affluence the burden on the police. The detection of credit card fraud has three difficulties: uneven data, an abundance of unseen variables, and the selection of an appropriate threshold to improve the models' reliability. This study employs a modified Logistic Regression (LR) model to detect credit card fraud in order to get over the preceding difficulties. The dataset sampling strategy, variable choice, and detection methods employed all have a significant impact on the effectiveness of fraud detection in credit card transactions. The effectiveness of naive bayes, k-nearest neighbour, and logistic regression on highly skewed credit card fraud data is examined in this research. The accuracy of the logistic regression technique will be closer to 0.98%; with this accuracy, frauds may be easily detected. The fact that LR receives the highest classifier score illustrates how well LR predicts credit card theft.","PeriodicalId":220394,"journal":{"name":"International Journal of Computer and Communication Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115478607","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

Polymer Composites in Green Technology: A Review 绿色高分子复合材料技术综述

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1431

M. Padhy, P. Achary

{"title":"Polymer Composites in Green Technology: A Review","authors":"M. Padhy, P. Achary","doi":"10.47893/ijcct.2022.1431","DOIUrl":"https://doi.org/10.47893/ijcct.2022.1431","url":null,"abstract":"Rapid depletion of fossil resources, high demand for energy and global warming together encourage us to look for renewable polymer items with low carbon. ‘Green monomers’ could be derived from bio-refineries, biowastes or renewable oil, plastics-waste. The polymer obtained from such green monomers are renewable and can display good characteristics equivalent to the traditional polymers or sometimes better than the existing polymers. Green technology is a global movement to create vibrant and sustainable cities. Green technology addresses social, economic and environmental values and creates a green economy. Green technology is based on the process of using waste materials for beneficial purposes by managing, and recycling the waste. This technology involves the waste treatment, incineration and management. Many materials prepared form green composites are cost effective in-terms less consumption of electricity, and water, at the same time a significant decrease in CO2 emission, and solid waste generation. The present review presents the effective techniques, difficulties, applications & information on bio-polymers, natural fiber reinforcements, properties of the different green composites and recommendations.","PeriodicalId":220394,"journal":{"name":"International Journal of Computer and Communication Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130148448","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

Food emergency dispatching method based on optimized fireworks algorithm 基于优化烟花算法的食品应急调度方法

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1450

Xie Ya, Pan Lijun, Degang Xu

引用次数: 0

Research on Personalized Learning Resource Recommendation Based on Knowledge Graph Technology 基于知识图技术的个性化学习资源推荐研究

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1440

Bozhi 1, Sainan Wang, Yuyi 3

引用次数: 0

Empirical Analysis of Machine Learning algorithms in Fake News detection 机器学习算法在假新闻检测中的实证分析

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1432

B. Devi, Sudhir Senapati

{"title":"Empirical Analysis of Machine Learning algorithms in Fake News detection","authors":"B. Devi, Sudhir Senapati","doi":"10.47893/ijcct.2022.1432","DOIUrl":"https://doi.org/10.47893/ijcct.2022.1432","url":null,"abstract":"Social media is the finest venue for thinking and expressing in the modern world. And this is the best place to share information about your identity, culture, religion, and customs. It entails an immediate information interchange that covers news from every industry. These days, social media has a big impact on how we live and how society functions. Currently, social media is the best medium for expressing your thoughts. Social media has also evolved into a channel for disseminating information about nearby events. how the locals in the other place are made aware of what is going on there. People benefit from this through learning about various cultures. However, some evil people use social media to spread their lies, which affects society and our everyday lives. Furthermore, fake news spreads like a forest fire if it is not dealt with promptly. And this bogus news offends certain individuals and occasionally sparks riots in public places. We need instruments in the modern day that can confirm any news, whether it is real or fraudulent. The current work considers a variety of machine-learning techniques for detecting false news, including Random Forest (RF), Decision Tree (DT), and Support Vector Machine (SVM). The performance evaluation was then conducted using several criteria, including F-1 score, recall, accuracy, and precision. The empirical investigation shows DT has the greatest accuracy level at 100%.","PeriodicalId":220394,"journal":{"name":"International Journal of Computer and Communication Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129285467","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

Research on Accurate Recommendation of Learning Resources based on Graph Neural Networks and Convolutional Algorithms 基于图神经网络和卷积算法的学习资源准确推荐研究

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1448

Sainan Wang, Bozhi 1, Yuyi 3

引用次数: 0

Proposed Web Application for Guidance and Support of Students: SmartLAD 为学生提供指导和支持的网页应用程序:SmartLAD

International Journal of Computer and Communication Technology Pub Date : 2022-11-01 DOI: 10.47893/ijcct.2022.1425

Mukul Aggarwal, Himanshu Tariyal

引用次数: 0

An Application of Artificial Neural Network (ANN) for Landslide Hazard Mapping, Susceptibility and Early Warning System: A Review 人工神经网络(ANN)在滑坡危险性制图、易感性及预警系统中的应用综述

International Journal of Computer and Communication Technology Pub Date : 2022-01-01 DOI: 10.47893/ijcct.2022.1421

Praveen Mukhia Titimus, R. Mandal

引用次数: 1