# Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

arXiv: https://arxiv.org/abs/1502.03552 · HTML: https://mlsanity.com/paper/1502.03552/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Feb 2015.

## Built on by (most cited first, 2 of 2)

- [Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)](https://mlsanity.com/paper/2101.02552/) (2021)
- [Recent Advancements in Machine Learning For Cybercrime Prediction](https://mlsanity.com/paper/2304.04819/) (2023)

## Abstract (arXiv)

With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust, and able to detect a wide variety of threats and make intelligent real-time decisions. Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.