A Survey on Bio-inspired Algorithms of Cybersecurity

Authors

  • Alia A. Hussein Department of Computer Science, University of Kufa, Najaf, Iraq.

DOI:

https://doi.org/10.55145/ajest.2024.03.01.013

Keywords:

Cybersecurity, Bio-inspired, Features selection

Abstract

Cyberspace has evolved into a vital resource and dynamic hub for modern living as a result of a rising reliance on information, technology, and communication. As a result, cyber security concerns are a worldwide phenomenon with disastrous effects. Because of its worldwide connectivity and data explosion, cyberspace is complicated and unpredictable, and as cyber infrastructures get more intricate and dynamic, so does the threat surface. Cyberspace management, or securing and assuring security, calls for the use of sophisticated complex systems. Natural tendencies that facilitate adaptability for survival have been generated by nature through evolution in complex systems, including animal and plant life. By using them in cyber security, predation-avoidance and anti-predation strategies used by non-extinct prey could be exploited or adopted as mechanisms for adaptability. An overview of the existing situation of is provided in this chapter. With the explosion of data generation, finding optimal solutions to data-driven issues is becoming increasingly difficult, if not impossible. It is becoming increasingly clear that the use of intelligent bio-inspired algorithms is required for addressing highly complex problems and providing working solutions in a timely manner, especially when dealing with dynamic problem definitions, fluctuating constraints, incomplete or imperfect information, and limited computation capacity. As a result, more and more intelligent algorithms are being investigated for solving various complex issues.

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Published

2024-01-19

How to Cite

Hussein, A. A. (2024). A Survey on Bio-inspired Algorithms of Cybersecurity. Al-Salam Journal for Engineering and Technology, 3(1), 148–156. https://doi.org/10.55145/ajest.2024.03.01.013

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Section

Articles