For two decades, numerous researchers have reported a close relationship between chaos and cryptography. Encryption based on chaos theory (for example logistic and tent maps) has several characteristics such as pseudo randomness, ergodicity and strong dependence on initial conditions etc. Due to highly unpredictable behaviour of chaotic maps, it can be used in multimedia data protection. The purpose of this project is to design light-weight encryption and watermarking schemes which can protect multimedia data from eavesdroppers. Furthermore, the proposed schemes will be tested against a number of benchmark security parameters.
Academic qualifications A first degree (at least a 2.1) ideally in any related field i.e., Computer Science, Electrical Engineering, Electronics Engineering, Computer Engineering or Mathematics with a good fundamental knowledge of Mathematics, Programming Languages and Cryptography.
English language requirement IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.
Essential attributes Experience of fundamental Mathematics and Cryptography. Competent in at least one of the programming languages such as MATLAB, Python, C/C++ or any other related programming language. Knowledge of Mathematics, Basic Computing, Cyber Security, Encryption/Decryption Algorithms, and Machine Learning. Good written and oral communication skills. Strong motivation, with evidence of independent research skills relevant to the project. Good time management.
Edinburgh Napier University is committed to promoting equality and diversity in our staff and student community https://www.napier.ac.uk/about-us/university-governance/equality-and-diversity-information. Applications from potential part-time students are welcomed.
For informal enquiries about this PhD project, please contact Dr Jawad Ahmad, Email Address: [Email Address Removed] or Prof Bill Buchanan Email Address: [Email Address Removed]
This is an unfunded position.
Ahmad Jawad, Khan Muazzam Ali, Ahmed Fawad and Khan, Jan Sher, A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation, Neural Computing and Application, volume 30, number 12, pages 3847-3857, 2018.
Ahmad, Jawad, Larijani, Hadi, Emmanuel, Rohinton, Mannion, Mike, Javed, Abbas and Ahmadinia, Ali, An intelligent realtime occupancy monitoring system with enhanced encryption and privacy, IEEE 17th International Conference on Cognitive Informatics and Cognitive Computing (ICCI* CC), Pages 524-529, 2018.