The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …

The application of new techniques to increase the performance of intrusion detection
systems is crucial in modern data networks with a growing threat of cyber-attacks. These …

Multiple governmental agencies and private organisations have made commitments for the
colonisation of Mars. Such colonisation requires complex systems and infrastructure that …

Three technical problems should be solved urgently in cyberspace security: the timeliness
and accuracy of network attack detection, the credibility assessment and prediction of the …

The increasing prevalence of network connections is driving a continuous surge in the
requirement for network security and safeguarding against cyberattacks. This has triggered …

Yapay zekayı (YZ) ve makine öğrenimini siber güvenlik için silahlandırmak hala erken
aşamalarda olsa da büyük ölçekli firmalar ve kuruluşlar, güvenlik sistemlerini ve …

Network intrusion detection systems (NIDSs) have evolved into a significant subject in
cybersecurity research, mainly due to the growth of cyberattacks and intelligence, which also …

Robust verification protocols are crucial for maintaining the security and reliability of
sensitive information due to the increasing complexity of cyber-attacks. This paper …

Cyber-attack brings significant threat and become a critical issue in the digital world network
security. The conventional procedures developed to detects are centralized and often …

The development of deep learning has led to a dramatic increase in the number of
applications of artificial intelligence. However, the training of deeper neural networks for …