Blockchain-based technology in the coffee supply chain trade: Case of burundi coffee V Thiruchelvam, AS Mughisha, M Shahpasand, M Bamiah Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018 | 86 | 2018 |
Adversarial attacks on mobile malware detection M Shahpasand, L Hamey, D Vatsalan, M Xue 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile …, 2019 | 41 | 2019 |
Malware classification and detection using artificial neural network BB Rad, MKH Nejad, M Shahpasand J. Eng. Sci. Technol 13, 14-23, 2018 | 16 | 2018 |
Improved deep learning-based classification of mine-like contacts in sonar images from autonomous underwater vehicles A Bouzerdoum, PB Chapple, M Dras, Y Guo, L Hamey, T Hassanzadeh, ... UACE2019-Conference Proceedings, 2019 | 12 | 2019 |
An intelligent framework for malware detection in Internet of things (IoT) ecosystem O Eboya, JB Juremi, M Shahpasand 2020 IEEE 8th R10 humanitarian technology conference (R10-HTC), 1-6, 2020 | 4 | 2020 |
A review of testing cloud security E Zenker, M Shahpasand International Journal of Internet Technology and Secured Transactions 8 (3 …, 2018 | 3 | 2018 |
A web-based architecture for interactive finite element program F Hejazi, M Shahpasand, M Mirnezhad, MS Jaafar, AA Abang Ali Computing in Civil and Building Engineering (2014), 1393-1400, 2014 | 3 | 2014 |
Usage Decision Model for Online Social Network M Shahpasand, R Mahmod, NI Udzir, A Deghantanha 2012 International Conference on Advanced Computer Science Applications and …, 2012 | 3 | 2012 |
Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study A Amini Pishro, S Zhang, A L’hostis, Y Liu, Q Hu, F Hejazi, M Shahpasand, ... Scientific Reports 14 (1), 23929, 2024 | 2 | 2024 |
Classifying Time-Series of IoT Flow Activity using Deep Learning and Intransitive Features D Tin, M Shahpasand, HH Gharakheili, G Batista 2022 14th International Conference on Software, Knowledge, Information …, 2022 | 1 | 2022 |
Feature-Based Adversarial Attacks Against Machine Learnt Mobile Malware Detectors M Shahpasand, L Hamey, MA Kaafar, D Vatsalan 2020 30th International Telecommunication Networks and Applications …, 2020 | 1 | 2020 |
Blockchain for a secured and forensically sound internet of things M Shahapasand, S Chandrashekhar, S Sarupuri, V Thiruchelvam Journal of Engineering Science and Technology 13, 204-215, 2018 | 1 | 2018 |
Cloud testing: Requirements, tools and challenges ADB Jarno, SB Baharom, M Shahpasand Journal Of Applied Technology And Innovation 1 (2), 79-93, 2017 | 1 | 2017 |
Cloud Authentication Logic on Data Security M Shahpasand, R Mahmod, NI Udzir The Third International Conference on Digital Security and Forensics …, 2016 | 1 | 2016 |
Android Malware Detection Using Machine Learning and Neural Network: A Hybrid Approach with Federated Learning BS Purkayastha, MM Rahman, M Shahpasand 2024 7th International Conference on Advanced Communication Technologies and …, 2024 | | 2024 |
Adversarial Machine Learning for Enhanced Malware Detection M Shahpasand Macquarie University, 2022 | | 2022 |
Voice over IP on Windows IoT core M Shahpasand, R Mahmod, NI Udzir International Journal of Internet Technology and Secured Transactions 8 (3 …, 2018 | | 2018 |