In the recent past, more than 5 years or so, Deep Learning (DL) especially the large
language models (LLMs) has generated extensive studies out of a distinctly average …

This survey paper describes a literature review of deep learning (DL) methods for cyber
security applications. A short tutorial-style description of each DL method is provided …

Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

Deep learning models have achieved high performance on many tasks, and thus have been
applied to many security-critical scenarios. For example, deep learning-based face …

Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …

Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …

While deep learning has shown a great potential in various domains, the lack of
transparency has limited its application in security or safety-critical areas. Existing research …

The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …

In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …