Taramonli, Chryssanthi (2014) Energy conscious adaptive security. PhD thesis, University of Warwick.

Preview

PDF WRAP_THESIS_Taramonli_2014.pdf - Submitted Version - Requires a PDF viewer. Download (3587Kb) | Preview

Request Changes to record.

Abstract

The rapid growth of information and communication systems in recent years has brought with it an increased need for security. Meanwhile, encryption, which constitutes the basis of the majority of security schemes, may imply a significant amount of energy consumption. Encryption algorithms, depending on their complexity, may consume a significant amount of computing resources, such as memory, battery power and processing time. Therefore, low energy encryption is crucial, especially for battery powered and passively powered devices. Thus, it is of great importance to achieve the desired security possible at the lowest cost of energy.

The approach advocated in this thesis is based on the lack of energy implication in security schemes. It investigates the optimum security mode selection in terms of the energy consumption taking into consideration the security requirements and suggests a model for energy-conscious adaptive security in communications. Stochastic and statistical methods are implemented – namely reliability, concentration inequalities, regression analysis and betweenness centrality – to evaluate the performance of the security modes and a novel adaptive system is proposed as a flexible decision making tool for selecting the most efficient security mode at the lowest cost of energy. Several symmetric algorithms are simulated and the variation of four encryption parameters is examined to conclude the selection of the most efficient algorithm in terms of energy consumption. The proposed security approach is twofold, as it has the ability to adjust dynamically the encryption parameters or the energy consumption, either according to the energy limitations or the severity of the requested service.

Item Type:	Thesis (PhD)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Library of Congress Subject Headings (LCSH):	Computer security, Adaptive computing systems
Official Date:	2014
Dates:	Date Event 2014 Submitted
Institution:	University of Warwick
Theses Department:	School of Engineering
Thesis Type:	PhD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Green, Roger J. ; Leeson, Mark S.
Extent:	xi, 197 leaves
Language:	eng

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads