A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions J Asharf, N Moustafa, H Khurshid, E Debie, W Haider, A Wahab Electronics 9 (7), 2020 | 319 | 2020 |
Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems J Ashraf, AD Bakhshi, N Moustafa, H Khurshid, A Javed, A Beheshti IEEE Transactions on Intelligent Transportation Systems 22 (7), 4507-4518, 2020 | 256 | 2020 |
Handling intrusion and DDoS attacks in Software Defined Networks using machine learning techniques J Ashraf, S Latif 2014 National software engineering conference, 55-60, 2014 | 166 | 2014 |
IoTBoT-IDS: A Novel Statistical Learning-enabled Botnet Detection Framework for Protecting Networks of Smart Cities J Ashraf, M Keshk, N Moustafa, M Abdel-Basset, H Khurshid, AD Bakhshi, ... Sustainable Cities and Society, 103041, 2021 | 161 | 2021 |
Speaker independent Urdu speech recognition using HMM J Ashraf, N Iqbal, NS Khattak, AM Zaidi Informatics and Systems (INFOS), 2010 The 7th International Conference on, 1-5, 2010 | 72 | 2010 |
Why do public sector IT projects fail J Ashraf, NS Khattak, AM Zaidi 2010 The 7th International Conference on Informatics and Systems (INFOS), 1-6, 2010 | 24 | 2010 |
Intrusion Detection System for SDN-enabled IoT Networks using Machine Learning Techniques J Ashraf, N Moustafa, AD Bukhshi, A Javed 2021 IEEE 25th International Enterprise Distributed Object Computing …, 2021 | 21 | 2021 |