Email: A . Khoshkholghi @ mdx.ac.uk
Office: T124 Town Hall Building, Hendon Campus
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Research Interests
Publications Repository
Signature-based security analysis and detection of IoT threats in advanced message queuing protocol
Hashimyar, M.E., Aiash, M., Khoshkholghi, A. and Nalli, G. 2025. Signature-based security analysis and detection of IoT threats in advanced message queuing protocol. Network. 5 (1). https://doi.org/10.3390/network5010005
Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets
Wang, K, Wong, B, Khoshkholghi, A., Shah, P., Naha, R, Mahanti, A and Kim, J 2024. Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets. 38th International Conference on Advanced Information Networking and Applications. Kitakyushu, Japan 17 - 19 Apr 2024 Springer. pp. 263-273 https://doi.org/10.1007/978-3-031-57853-3_22
A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory
Al-Nader, I., Lasebae, A., Raheem, R. and Khoshkholghi, A. 2023. A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory. Electronics. 12 (23). https://doi.org/10.3390/electronics12234766
Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine
Afzal, M., Ali, K., Kasi, M., Rehman, M., Khoshkholghi, A., Haq, B. and Shah, S. 2023. Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2018-2023 https://doi.org/10.1109/TrustCom60117.2023.00277
Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. 2023. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221
Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain
Edris, E., Aiash, M., Khoshkholghi, A., Naha, R., Chowdhury, A. and Loo, J. 2023. Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. https://doi.org/10.1016/j.iot.2023.100913
IoT-based emergency vehicle services in intelligent transportation system
Chowdhury, A., Kaisar, S., Khoda, M., Naha, R., Khoshkholghi, A. and Aiash, M. 2023. IoT-based emergency vehicle services in intelligent transportation system. Sensors. 23 (11). https://doi.org/10.3390/s23115324
Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)
Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026
Information fusion-based cybersecurity threat detection for intelligent transportation system
Chowdhury, A., Naha, R., Kaisar, S., Khoshkholghi, A., Ali, K. and Galletta, A. 2023. Information fusion-based cybersecurity threat detection for intelligent transportation system. CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 96-103 https://doi.org/10.1109/CCGridW59191.2023.00029
Federated learning for performance prediction in multi-operator environments
Lan, X., Taghia, J., Moradi, F., Khoshkholghi, A., Listo Zec, E., Mogren, O., Mahmoodi, T. and Johnsson, A. 2023. Federated learning for performance prediction in multi-operator environments. ITU Journal on Future and Evolving Technologies. 4 (1), pp. 166-177. https://doi.org/10.52953/PFYZ9165