ABC4AI is grounded in applied research. Explore the peer-reviewed work behind our AI transformation practice, spanning artificial intelligence and blockchain security.
Peer-reviewed work spanning conversational AI, social bot detection, audio classification, and applied deep learning.
Collaborative intrusion detection, secure data transactions, and blockchain applications for industrial IoT.
| Title | Author(s) | Year |
|---|---|---|
| Social media bot detection with deep learning methods: a systematic review | K Hayawi, S Saha, MM Masud, SS Mathew, M Kaosar | 2023 |
| Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations | S Shahriar, K Hayawi | 2023 |
| A Fog Computing Framework for Intrusion Detection of Energy-Based Attacks on UAV-Assisted Smart Farming | J Sajid, K Hayawi, AW Malik, Z Anwar, Z Trabelsi | 2023 |
| On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification | S Shahriar, Dara, Rozita, K Hayawi | 2022 |
| DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data | K Hayawi, S Mathew, N Venugopal, MM Masud, PH Ho | 2022 |
| Title | Author(s) | Year |
|---|---|---|
| Integration of blockchain and collaborative intrusion detection for secure data transactions in industrial IoT: a survey | S Mathew, K Hayawi, I Dawit, Nahom, Taleb, Z Trabelsi | 2022 |
| Blockchain-based Secure CIDS Operation | Makhdoom, K Hayawi, M Kaosar, S Mathew, M Masud | 2021 |
| Suitability of Blockchain for Collaborative Intrusion Detection Systems | NA Dawit, SS Mathew, K Hayawi | 2020 |
