Title :
Security Vs cost: An issue of multi-objective optimization for choosing PGP algorithms
Author :
Kumar, Divya ; Kashyap, Divya ; Mishra, K.K. ; Misra, A.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
Abstract :
PGP (Pretty Good Privacy) is most widely used standard in the world for securing electronic mails. It promises for confidentiality, integrity and authentication to its users. These security services are provided at a cost of various cryptographic algorithms. Given a data, choosing particular algorithms for its security, according to the user requirements, is a non-trivial task. As various algorithms with different security levels and cost are available. In this paper we have proposed a meta-heuristic based on Evolutionary Multi-objective Optimization for selecting appropriate algorithms for PGP according to the user requirements of cost and security levels.
Keywords :
cryptography; data privacy; evolutionary computation; message authentication; PGP algorithm; cryptographic algorithm; electronic mail; evolutionary multiobjective optimization; meta-heuristic; pretty good privacy; security cost; security level; security service; user authentication; user confidentiality; user integrity; user requirement; Authentication; Electronic mail; Encryption; Evolutionary computation; Optimization; PGP; Strength Pareto Evolutionary Algorithm (SPEA); authentication; confidentiality; genetic algorithms; integrity; multi-objective optimization; pareto front;
Conference_Titel :
Computer and Communication Technology (ICCCT), 2010 International Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4244-9033-2
DOI :
10.1109/ICCCT.2010.5640483