Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-Inspired Algorithm

Technological advancement has increased dramatically in recent years, giving rise to a range of new ideas. Some examples of these ideas include blockchain, quantum technology, robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and edge computing. Other examples include the Internet of Things (IoT) and edge computing, technologies such as augmented and virtual reality and networks of the fifth and sixth generations. Concurrently, there has been a significant uptick in the number of attacks and threats to cybersecurity, which has led to a wide variety of financial setbacks. The threat posed by malware is now one that is both formidable and very complex. In the absence of adequate protection procedures, a significant amount of sensitive and classified data may be vulnerable to hacking attempts as well as other types of unlawful activity. As a result, additional precautions against potential threats are required. In light of newly developed technology, to investigate and address existing security challenges and concerns, this article contributes by offering a condensed synopsis of the application areas for optimizing hyperparameters with bio-inspired algorithms for cybersecurity applications.