Abstract Autoregressive and Masked Transformers are incredibly effective as generative
models and classifiers. While these models are most prevalent in NLP, they also exhibit …

The introduction of deep learning techniques in intrusion detection problems has enabled
an enhanced standard of detection effectiveness. However, most of the progress has …

Abstract Recently, Software Defined Networking (SDN) has emerged as the key technology
in programming and orchestrating security policy in the security operations centers (SOCs) …

Deception frameworks provide an effective environment for data collection on cyber
criminals. Using deception techniques these frameworks help security professionals identify …

In recent times, organizations face many cyberattacks daily especially through Internet. The
traditional approach has been that once new attack is identified, the models are re-trained …

Recent Cyber security breaches, such as the latest T-Mobile data leak in May 2023, which
revealed the PINs, Full names, and Phone numbers of some customers, and a string of other …