International Journal of Safety and Security Engineering最新文献_第2页

Network Master Node Assessed Trust Factor with Arbitrary Neighbor Assessment for Secure Route Detection in 6G Enabled Wireless Sensor Networks 在支持 6G 的无线传感器网络中，利用网络主节点评估信任因子和任意邻居评估实现安全路由检测

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140111

Pavan Vamsi Mohan Movva, Radhika Rani Chintala

引用次数: 0

Quantitative Analysis of Global Research Trends in Crowd Management for Tawaf: A Bibliometric Study (1997–2023) 对全球 Tawaf 人群管理研究趋势的定量分析：文献计量学研究（1997-2023 年）

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140107

A. M. Qamar, Abdulrahman Saad Altami, Ali Ayeel Alsamanni

引用次数: 0

Student Voting on ICP Blockchain: A Decentralized Web3 Approach-An Infrastructure Protection System ICP 区块链上的学生投票：去中心化的 Web3 方法--基础设施保护系统

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140109

Koteswara Rao Kodepogu, Mudigonda Dharmateja, Jillela Manoj Kumar, Muraboina Hari Pavan Gopi Krishna, Kodali Ramu

引用次数: 0

Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review 云计算环境中恶意软件分析与检测的进展：综述

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140122

S. M. Rao, Arpit Jain

{"title":"Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review","authors":"S. M. Rao, Arpit Jain","doi":"10.18280/ijsse.140122","DOIUrl":"https://doi.org/10.18280/ijsse.140122","url":null,"abstract":"Cloud computing, integral for data storage and online services, presents significant advantages over traditional data storage and distribution methods, including enhanced convenience, on-demand storage, scalability, and cost efficiency. Its growing adoption in securing Internet of Things (IoT) and cyber-physical systems (CPS) against various cyber threats offers numerous opportunities. Despite the continuous evolution of malware and the lack of a universally effective detection method, cloud environments provide a promising approach for malware detection. Cloud computing, recognized for its efficiency, scalability, flexibility, and reliability on elastic resources, is widely utilized in the IT industry to support IT infrastructure and services. However, one of the foremost security challenges faced is malware attacks. Certain antivirus scanners struggle to detect metamorphic or encrypted malware in cloud environments due to complexity and scale, allowing such threats to evade detection. High detection rates with precision in reducing false positives are essential. Machine learning (ML) classifiers, a vital component in Artificial Intelligence (AI) systems, require training on extensive data volumes to develop credible models with high detection rates. Traditional detection methods face challenges in identifying complex malware, as modern malware employs contemporary packaging and obfuscation techniques to circumvent security measures. This paper provides a detailed discussion on detecting malware in cloud environments and the advantages of cloud computing in safeguarding IoT and CPS from cyber attacks. It presents a survey on malware analysis and detection models, aiding researchers in identifying limitations of traditional malware detection models in cloud environments and inspiring the design of innovative models with enhanced quality of service","PeriodicalId":37802,"journal":{"name":"International Journal of Safety and Security Engineering","volume":"16 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140412234","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

Genetic Algorithm Using Feistel and Genetic Operator Acting at the Bit Level for Images Encryption 利用费斯特尔和遗传算子在比特级作用的遗传算法进行图像加密

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140102

Abdellah Abid, Mariem Jarjar, Mourad Kattass, Hicham Rrghout, A. Jarjar, A. Benazzi

引用次数: 0

Comprehensive Risk Classification and Mitigation in the Petroleum Cyber-Physical Systems of the Oil and Gas Industry 石油天然气行业石油网络物理系统的全面风险分类与缓解

International Journal of Safety and Security Engineering Pub Date : 2024-02-29 DOI: 10.18280/ijsse.140110

Zina Oudina, Ahmed Dib, Mohamed Amine Yakoubi, M. Derdour, Kodali Ramu

引用次数: 0

Roadmap and Information System to Implement Information Technology Risk Management 实施信息技术风险管理的路线图和信息系统

International Journal of Safety and Security Engineering Pub Date : 2023-12-25 DOI: 10.18280/ijsse.130602

Hasnaa Berrada, J. Boutahar, Souhaïl El Ghazi El Houssaïni

引用次数: 0

Enhancing Safety and Security: Facilities for Wheelchair Users in Marine Tourism Area 加强安全和安保：海洋旅游区的轮椅使用者设施

International Journal of Safety and Security Engineering Pub Date : 2023-12-25 DOI: 10.18280/ijsse.130619

Sunardi, Ali Muntaha, D. Setyohadi, A. Isdianto

引用次数: 0

Advancing Public Health Monitoring through Secure and Efficient Wearable Technology 通过安全高效的可穿戴技术推进公共卫生监测工作

International Journal of Safety and Security Engineering Pub Date : 2023-12-25 DOI: 10.18280/ijsse.130603

S. Qaddoori, Ina’am Fathi, Modhar A. Hammoudy, Qutaiba I. Ali

引用次数: 0

Development of an Affordable Real-Time IoT-Based Surveillance System Using ESP32 and TWILIO API 利用 ESP32 和 TWILIO API 开发经济实惠的基于物联网的实时监控系统

International Journal of Safety and Security Engineering Pub Date : 2023-12-25 DOI: 10.18280/ijsse.130609

K. Okokpujie, I. Okokpujie, Fortune T. Young, R. E. Subair

引用次数: 0