基于区块链的智能手机应用程序恶意软件检测系统研究综述

Mr. Pradeep Nayak, Lavanya M Moger, Lohit M Patgar, Manish D Salian, Manoj Rao
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引用次数: 0

摘要

随着智能手机在现代文化中的广泛使用,针对这些设备的恶意软件的威胁日益增加,这就要求采用新技术来提高安全性。区块链技术因其去中心化、透明性和不变性而成为一种可能的替代技术。本研究论文探讨了智能手机应用中基于区块链的恶意软件检测系统的现状。我们讨论了典型的恶意软件检测方法及其在移动环境中面临的障碍。我们还介绍了区块链技术的基本原理以及如何利用区块链技术提高安全性。我们利用案例研究和学术文章研究了将区块链集成到恶意软件检测系统中的各种技术,强调了去中心化和透明度的好处。尽管有潜在的好处,但我们发现基于区块链的解决方案存在一些问题,包括可扩展性、性能和隐私问题。最后,我们探讨了未来的研究领域,并就如何克服当前的限制和提高这些系统的有效性提出了见解。总之,这项工作的目的是让人们充分了解基于区块链的手机恶意软件检测,并为这一网络安全关键领域的未来研究提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on a Study of Block Chain-Based Malware Detection System for Smartphone Applications
The widespread use of smartphones in modern culture has resulted in an increased threat of malware targeting these devices, demanding novel techniques to improve security. Blockchain technology has emerged as a possible alternative due to its decentralization, transparency, and immutability. This research paper looks at the state of blockchain-based malware detection systems for smartphone applications. We discuss typical malware detection approaches and the obstacles they confront in the mobile context. We also go over the fundamentals of blockchain technology and how it can be used to improve security. We examine various techniques to integrate blockchain into malware detection systems using case studies and academic articles, emphasizing the benefits of decentralization and transparency. Despite the potential benefits, we find several issues with blockchain-based solutions, including scalability, performance, and privacy concerns. Finally, we explore future research areas and provide insights into how to overcome current limits and improve the effectiveness of these systems. Overall, the purpose of this work is to provide a full understanding of blockchain-based malware detection for cellphones, as well as to guide future research in this crucial area of cybersecurity
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