Ms Anum Kiyani
| Name | Ms Anum Kiyani |
|---|---|
| Job title | Lecturer in Computing Science |
| Research institute | |
| Primary appointment | Computer Science |
| Email address | a.kiyani@mdx.ac.uk |
| Contact category | Academic staff |
Research outputs
EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry
Batool, F., Ali, K., Lasebae, A., Windridge, D. and Kiyani, A. 2025. EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry. Sensors. 25 (17). https://doi.org/10.3390/s25175250Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty
Ajith, V., Cyriac, T., Chavda, C., Kiyani, A.T., Chennareddy, V. and Ali, K. 2024. Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty. IoT. 5 (3), pp. 592-607. https://doi.org/10.3390/iot5030026Efficient 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/CCGridW59191.2023.00026Continuous user authentication featuring behavioural biometrics
Kiyani, A. 2021. Continuous user authentication featuring behavioural biometrics. PhD thesis Middlesex UniversityContinuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach
Kiyani, A., Lasebae, A., Ali, K., Ur-Rehman, M. and Haq, B. 2020. Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach. IEEE Access. 8, pp. 156177-156189. https://doi.org/10.1109/ACCESS.2020.30194671352
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