探索网络安全格局:攻击检测策略比较分析

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-05-05 DOI:10.1007/s12652-024-04794-y
P. Rajesh Kanna, P. Santhi
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引用次数: 0

摘要

随着互联网工具的迅速发展,计算机网络领域也在经历着快速增长。因此,人们越来越意识到网络安全的重要性。确保安全的首要问题之一是域的权限,网络所有者正在努力建立一种共同语言,以交换安全信息并对新出现的威胁做出快速反应。鉴于各类攻击日益猖獗,网络安全已成为计算领域的一项重大挑战。为解决这一问题,我们开发了一种基于攻击图的多层次分布式方法,其中包括漏洞识别、维度分析和应对措施。采用可重新配置的虚拟系统作为对策,可以大大提高攻击检测能力,减轻攻击的影响。例如,基于密码的身份验证很容易受到密码破解技术、社会工程学攻击或暴露用户凭证的数据泄露的影响。同样,通过加密确保数据传输过程中的隐私有助于保护数据免遭未经授权的访问,但并不能保证防止恶意软件渗透或内部威胁等其他类型的攻击。本研究探讨了实现有效攻击检测的各种技术。我们利用多种研究方法并对其进行评估,以确定最适合云计算环境下网络安全和攻击检测的方法。对各种研究的分析和实施表明,基于签名的入侵检测方法在精确度、召回率、F-measure、准确性、可靠性和时间复杂性方面都优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Exploring the landscape of network security: a comparative analysis of attack detection strategies

The field of computer networking is experiencing rapid growth, accompanied by the swift advancement of internet tools. As a result, people are becoming more aware of the importance of network security. One of the primary concerns in ensuring security is the authority over domains, and network owners are striving to establish a common language to exchange security information and respond quickly to emerging threats. Given the increasing prevalence of various types of attacks, network security has become a significant challenge in the realm of computing. To address this, a multi-level distributed approach incorporating vulnerability identification, dimensioning, and countermeasures based on attack graphs has been developed. Implementing reconfigurable virtual systems as countermeasures significantly improves attack detection and mitigates the impact of attacks. Password-based authentication, for instance, can be susceptible to password cracking techniques, social engineering attacks, or data breaches that expose user credentials. Similarly, ensuring privacy during data transmission through encryption helps protect data from unauthorized access, but it does not guarantee the prevention of other types of attacks such as malware infiltration or insider threats. This research explores various techniques to achieve effective attack detection. Multiple research methods have been utilized and evaluated to identify the most suitable approach for network security and attack detection in the context of cloud computing. The analysis and implementation of diverse research studies demonstrate that the based signature intrusion detection method outperforms others in terms of precision, recall, F-measure, accuracy, reliability, and time complexity.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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