All Outputs (4)

A new technique for designing 8 × 8 substitution box for image encryption applications (2017)
Presentation / Conference Contribution
Khan, F. A., Ahmed, J., Khan, J. S., Ahmad, J., Khan, M. A., & Hwang, S. O. (2017, September). A new technique for designing 8 × 8 substitution box for image encryption applications. Presented at 2017 9th Computer Science and Electronic Engineering (CEEC), Colchester

To create confusion in ciphertexts, encryption processes depends upon nonlinear mappings. This nonlinear mapping can be achieved by a process known as substitution. In a secure encryption algorithm, substitution plays a key role during confusion stag... Read More about A new technique for designing 8 × 8 substitution box for image encryption applications.

A novel substitution box for encryption based on Lorenz equations (2017)
Presentation / Conference Contribution
Khan, F. A., Ahmed, J., Khan, J. S., Ahmad, J., & Khan, M. A. (2017, July). A novel substitution box for encryption based on Lorenz equations. Presented at 2017 International Conference on Circuits, System and Simulation (ICCSS), London, United Kingdom

Complexity of an encryption algorithm is highly dependent on nonlinear components that drive actual security. Only nonlinear component in all traditional encryption algorithms is mainly Substitution Box (S-Box). In block ciphers, the relationship bet... Read More about A novel substitution box for encryption based on Lorenz equations.

Energy demand prediction through novel random neural network predictor for large non-domestic buildings (2017)
Presentation / Conference Contribution
Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., Javed, A., & Phillipson, M. (2017, April). Energy demand prediction through novel random neural network predictor for large non-domestic buildings. Presented at 2017 Annual IEEE International Systems Conference (SysCon), Montreal, QC, Canada

Buildings are among the largest consumers of energy in the world. In developed countries, buildings currently consumes 40% of the total energy and 51% of total electricity consumption. Energy prediction is a key factor in reducing energy wastage. Thi... Read More about Energy demand prediction through novel random neural network predictor for large non-domestic buildings.

Secure speech communication algorithm via DCT and TD-ERCS chaotic map (2017)
Presentation / Conference Contribution
Habib, Z., Khan, J. S., Ahmad, J., Khan, M. A., & Khan, F. A. (2017, April). Secure speech communication algorithm via DCT and TD-ERCS chaotic map. Presented at 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE), Ankara, Turkey

Secure communication has always been a demanding area in civil, commercial and particularly in military set up. Robust and time-tested efficient algorithms are needed to have an essential privacy for speech transmission in the telephone networks, rad... Read More about Secure speech communication algorithm via DCT and TD-ERCS chaotic map.