A New Hybrid Genetic with Firefly Algorithm for Solving Cyber-Criminal's Attacks

Narimen Hafsi, H. Hachimi, D. Benterki
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Abstract

For a long time, optimization has been part of our lives and the most recent literature shows a tremendous increase of the number of articles using Revolutionary algorithms in particular Firefly algorithm (FA) and Genetic algorithm. This tendency can be observed nearly in all areas of Computer Sciences and Engineering domain. Some of them are hybridized with other techniques to discover better performance. In addition, literatures found that most of the cases that used (FA) and (GA) techniques have outperformed compare to other metaheuristic algorithms. And because of the extraordinary impact of the COVID-19 pandemic on society and business as a whole, the pandemic generated an increase in the number and range of cybercriminal attacks due to the extensive use of computer networks. As result, new risks have arisen, and improving the speed and accuracy of security mechanisms has become a critical need. The aim of this article is to give the main mechanisme of those approachs and their application alone and hybrided to solve cybercrime problems.
一种解决网络犯罪攻击的混合遗传与萤火虫算法
长期以来,优化一直是我们生活的一部分,最近的文献显示,使用革命性算法的文章数量大幅增加,特别是萤火虫算法(FA)和遗传算法。这种趋势几乎可以在计算机科学与工程领域的所有领域中观察到。其中一些技术与其他技术相结合,以发现更好的性能。此外,文献发现,与其他元启发式算法相比,使用(FA)和(GA)技术的大多数情况下都表现得更好。由于2019冠状病毒病大流行对整个社会和商业产生了非同寻常的影响,由于计算机网络的广泛使用,此次大流行导致网络犯罪攻击的数量和范围都有所增加。因此,出现了新的风险,提高安全机制的速度和准确性已成为一项迫切需要。本文的目的是给出这些方法的主要机制及其单独和混合应用来解决网络犯罪问题。
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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