Cellular Automata Based Cryptography
Summary
The purpose of the study is to focus on designing CA-based cryptography components, in particularly with use of nature inspired searching techniques.
Supervisor(s)
Research Location
Program Type
Masters/PHD
Synopsis
The current cryptography algorithms relay on use of a few primitives such as pseudorandom numbers, permutations, nonlinear transformations, etc., which are designated with the use of specific mathematical constructs. An interesting and potential approach to design these components is cellular automata (CA). CA is currently a single nature inspired methodology which is able to provide computations equivalent to a Universal Turing Machine, but the way of using them for such purposes is open question. A new perspective to design future-oriented CA-based algorithms is applying evolutionary or other nature inspired techniques. The purpose of the study is to focus on designing CA-based cryptography components, in particularly with use of nature inspired searching techniques.
Want to find out more?
Contact us to find out what’s involved in applying for a PhD. Domestic students and International students
Contact Research Expert to find out more about participating in this opportunity.
Browse for other opportunities within the Computer Science .
Keywords
algorithms, cryptography, complex systems, optimization, ICT, Computational Theory
Opportunity ID
The opportunity ID for this research opportunity is: 974
Other opportunities with Professor Albert Y. Zomaya
- Parallel Stochastic Optimization Algorithms
- Self-Assembly and Self-Organization in Complex Systems
- The Mapping of Optimization Algorithms on Different Families of Computer Architectures
- Scheduling and Load Balancing in Large Scale Distributed Computing Environments
- Quality of Service in Distributed Computing Systems
- Healing and Self-Repair in Large Scale Distributed Computing Systems
- Application Isolation Techniques in Cloud Computing Platforms
- Accountability in Distributed Systems for Bioinformatics Data Management
- Application-Specific Service Level Agreement and Energy-Efficiency Improvement in Cloud Computing Platforms
- Autonomic Communications in Parallel and Distributed Computing Systems
- Detection of Anomalous Variations in Dynamic Networks
- The Choice of Appropriate Difference Measures
- Distributed Coalition Planning and Decision Making
- Federating Autonomous Sensor Networks
- Self-Assembly and Self-Organization in Complex Distributed Systems
- Parallel Stochastic Optimization Algorithms
- MicroRNAs as Regulators of Cellular Programs
- Resilience and distributed systems for a healthy society
- Biological metaphors and resilience
- Complex Networks and Performance