# AI-Assisted Authentication: State of the Art, Taxonomy and Future Roadmap

arXiv: https://arxiv.org/abs/2204.12492 · HTML: https://mlsanity.com/paper/2204.12492/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 29 of its 260 references that are in the map.
- First posted on arXiv 25 Apr 2022.

## Builds on (most cited first, 29 of 29)

- [Deep Reinforcement Learning with Quantum-inspired Experience Replay](https://mlsanity.com/paper/2101.02034/) (2021)
- [Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks](https://mlsanity.com/paper/2204.09829/) (2022)
- [Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection](https://mlsanity.com/paper/2109.05701/) (2021)
- [Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning](https://mlsanity.com/paper/1708.09754/) (2017)
- [Additive Adversarial Learning for Unbiased Authentication](https://mlsanity.com/paper/1905.06517/) (2019)
- [RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning](https://mlsanity.com/paper/1805.01374/) (2018)
- [Federated Learning-based Active Authentication on Mobile Devices](https://mlsanity.com/paper/2104.07158/) (2021)
- [Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems](https://mlsanity.com/paper/1803.00916/) (2018)
- [Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective](https://mlsanity.com/paper/2007.13418/) (2020)
- [Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum](https://mlsanity.com/paper/2101.07570/) (2021)
- [Learning-Aided Physical Layer Authentication as an Intelligent Process](https://mlsanity.com/paper/1808.02456/) (2018)
- [Security Considerations for Virtual Reality Systems](https://mlsanity.com/paper/2201.02563/) (2022)
- [Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things](https://mlsanity.com/paper/1711.01306/) (2017)
- [Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks](https://mlsanity.com/paper/2007.14132/) (2020)
- [Blockchain-enabled Authentication Handover with Efficient Privacy Protection in SDN-based 5G Networks](https://mlsanity.com/paper/1905.03193/) (2019)
- [Comparison of Machine Learning Models in Food Authentication Studies](https://mlsanity.com/paper/1905.07302/) (2019)
- [Bio-Inspired Representation Learning for Visual Attention Prediction](https://mlsanity.com/paper/2103.05310/) (2021)
- [Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices](https://mlsanity.com/paper/1604.08865/) (2016)
- [Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication](https://mlsanity.com/paper/1711.05088/) (2017)
- [RF-PUF: IoT Security Enhancement through Authentication of Wireless Nodes using In-situ Machine Learning](https://mlsanity.com/paper/1805.01048/) (2018)
- [Authenticating On-Body IoT Devices: An Adversarial Learning Approach](https://mlsanity.com/paper/2005.11170/) (2020)
- [Physical-Layer Authentication Using Channel State Information and Machine Learning](https://mlsanity.com/paper/2006.03695/) (2020)
- [DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption](https://mlsanity.com/paper/2012.11097/) (2020)
- [One-shot Representational Learning for Joint Biometric and Device Authentication](https://mlsanity.com/paper/2101.00524/) (2021)
- [An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms](https://mlsanity.com/paper/1907.13517/) (2019)
- [Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios](https://mlsanity.com/paper/1909.06365/) (2019)
- [Statistical and Machine Learning-based Decision Techniques for Physical Layer Authentication](https://mlsanity.com/paper/1909.07969/) (2019)
- [Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach](https://mlsanity.com/paper/1911.11743/) (2019)
- [Towards Automated Benchmark Support for Multi-Blockchain Interoperability-Facilitating Platforms](https://mlsanity.com/paper/2103.03866/) (2021)

## Abstract (arXiv)

Artificial Intelligence (AI) has found its applications in a variety of environments ranging from data science to cybersecurity. AI helps break through the limitations of traditional algorithms and provides more efficient and flexible methods for solving problems. In this paper, we focus on the applications of artificial intelligence in authentication, which is used in a wide range of scenarios including facial recognition to access buildings, keystroke dynamics to unlock smartphones. With the emerging AI-assisted authentication schemes, our comprehensive survey provides an overall understanding on a high level, which paves the way for future research in this area. In contrast to other relevant surveys, our research is the first of its kind to focus on the roles of AI in authentication.