Dr Aisha Junejo joined the AESE research group as a research associate in October 2019. She received her PhD degree in Computer Science from City, University of London, UK, in 2019. Before her PhD studies, she worked as a visiting lecturer and software engineer at Mehran University of Engineering and Technology, Pakistan.

She is currently researching the security of high value goods as a part of Logistics 4.0 project funded by Petras. She also worked on security of  sensor-based systems as part of the S4 project funded by EPSRC. Her research interests include but are not limited to the security, privacy and trust of cyber-physical systems, wireless sensor networks, cloud computing, fog computing,  and applied cryptography.

Dr Junejo is interested in designing lightweight security solutions for resource-constrained sensors and Internet of Things (IoT) devices. She has been working on physical layer security (PLS) encryption schemes. PLS based schemes employ the randomness of the wireless channel to derive a shared secret key between sender and receiver. The PLS schemes are way more efficient than the classical (AES and DES) symmetric encryption schemes. She is also designing a group key scheme based on channel randomness derived from received signal strength indicator (RSSI), channel state information (CSI), and sensor measurements.

Her other research interests include designing trust models for distributed systems, namely, wireless sensor networks (WSN), cloud computing, and fog computing. She believes that the resilience and dependability of future systems rely on integrated solutions that consider safety, security, privacy and trust together. She is also an advocate of security at design time philosophy and believes it must be the top priority for every security solution.

Selected Publications

1. A. K. Junejo, F. Benkhelifa, B. Wong and J. A. McCann, “LoRa-LiSK: A Lightweight Shared Secret Key Generation Scheme for LoRa Networks,” in IEEE Internet of Things Journal.
2. A. K. Junejo, N. Komninos and J. A. McCann, “A Secure Integrated Framework for Fog-Assisted Internet-of-Things Systems,” in IEEE Internet of Things Journal, vol. 8, no. 8, pp. 6840-6852, 15 April15, 2021, doi: 10.1109/JIOT.2020.3035474.
3. A. K. Junejo, N. Komninos, M. Sathiyanarayanan and B. S. Chowdhry, “Trustee: A Trust Management System for Fog-enabled Cyber Physical Systems,” in IEEE Transactions on Emerging Topics in Computing, doi: 10.1109/TETC.2019.2957394.
4. A. K. Junejo and N. Komninos, “A Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems,” in Wireless Communications and Mobile Computing, 2020, serial no. 1530-8669, doi: 10.1155/2020/2145829.
5. A. K. Junejo and N. Komninos, “Privacy Preserving Attribute Based Encryption for Multiple Cloud Collaborative Environment,” 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), 2015, pp. 595-600, doi: 10.1109/UCC.2015.104.