# Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation

arXiv: https://arxiv.org/abs/2209.13454 · HTML: https://mlsanity.com/paper/2209.13454/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 42 references that are in the map.
- First posted on arXiv 27 Sep 2022.

## Builds on (most cited first, 10 of 10)

- [Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables](https://mlsanity.com/paper/1803.04173/) (2018)
- [Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries](https://mlsanity.com/paper/1901.03583/) (2019)
- [Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples](https://mlsanity.com/paper/1802.04528/) (2018)
- [SourceFinder: Finding Malware Source-Code from Publicly Available Repositories](https://mlsanity.com/paper/2005.14311/) (2020)
- [Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification](https://mlsanity.com/paper/1903.04717/) (2019)
- [Malware Detection and Prevention using Artificial Intelligence Techniques](https://mlsanity.com/paper/2206.12770/) (2022)
- [Detection of Advanced Malware by Machine Learning Techniques](https://mlsanity.com/paper/1903.02966/) (2019)
- [A Novel Malware Detection System Based On Machine Learning and Binary Visualization](https://mlsanity.com/paper/1904.00859/) (2019)
- [A Survey of Distributed Denial of Service Attacks and Defenses](https://mlsanity.com/paper/2008.01345/) (2020)
- [Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid](https://mlsanity.com/paper/1810.10746/) (2018)

## Built on by (most cited first, 1 of 1)

- [Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018](https://mlsanity.com/paper/2606.05714/) (2026)

## Abstract (arXiv)

With the advent of the digital era, every day-to-day task is automated due to technological advances. However, technology has yet to provide people with enough tools and safeguards. As the internet connects more-and-more devices around the globe, the question of securing the connected devices grows at an even spiral rate. Data thefts, identity thefts, fraudulent transactions, password compromises, and system breaches are becoming regular everyday news. The surging menace of cyber-attacks got a jolt from the recent advancements in Artificial Intelligence. AI is being applied in almost every field of different sciences and engineering. The intervention of AI not only automates a particular task but also improves efficiency by many folds. So it is evident that such a scrumptious spread would be very appetizing to cybercriminals. Thus the conventional cyber threats and attacks are now ``intelligent" threats. This article discusses cybersecurity and cyber threats along with both conventional and intelligent ways of defense against cyber-attacks. Furthermore finally, end the discussion with the potential prospects of the future of AI in cybersecurity.