Design and Development of Secure Electronic Voting System Using Radio Frequency Identification and Enhanced Least Significant Bit Audio Steganographic Technique
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract: Electronic decision making process has been adjudged as an alternative measure to address the flaws of ballot voting system for the delivery of free, fair, confident, credible and transparent elections. Electronic ballot spoofing, remote voter’s masquerading, voter’s coercibility and ballot integrity breach are some of the security issues in electronic voting system. In this paper, we proffer solution to the problem of authentication and verification of voters as well as the integrity and confidentiality of the casted electronicballot. The developed e-voting system adopts two levels of security: authentication of voters for whom they are using Radio Frequency Identification Technique and protection of casted votes in transit using enhanced LeastSignificant Audio Steganographic for credible electronic decision making. The results obtained from the testing and qualitative evaluation using both human psychoacoustic and histogram analysis of the audio cover and stego audio of the system demonstrated an effective level of security from pre-election phase, election phase and post-election phase of the electioneering processes. When electoral processes are exercised with guaranteed security techniques, the electorates can have confidence in the conducted election for improved e-decision system of governance in developing countries with significant digital divide.
Authors and Affiliations
Olaniyi Olayemi Mikail, Abdullahi Ibrahim Mohammed , Abdulsalam Kayode Abdusalam , Folorunso Taliha Abiodun
Keywords
Related Articles
- EP ID EP106636
- DOI -
- Views 145
- Downloads 0
Context Based Indexing in Search Engines Using Ontology:Review
Abstract: Nowadays, the World Wide Web is the collection of large amount of information which is increasingday by day. For this increasing amount of information, there is a need for efficient and effective index st...
A Survey on Research work in Educational Data Mining
Abstract: Educational Data Mining is an emerging discipline that focuses on applying Data Mining tools andtechniques to educationally related data. The discipline focuses on analyzing educational data to developmod...
Classificationof Stages of Lung Cancer using Genetic Candidate Group Search Approach
Abstract: Cancer is one of the most commonly affected diseases in the progressing countries. Early diagnosis of cancer plays a significant role in curing cancer patients. Thousands of people every year die due to lung ca...
Survey and Analysis of Medium Access Control Protocols for Wireless Sensor Network
Wireless sensor networks are appealing to researchers due to their wide range of application in several fields such as military settings, critical infrastructure protection, target detection and tracking, envir...
Facial Expression Recognition Using Artificial Neural Networks
In many face recognition systems the important part is face detection. The task of detecting face is complex due to its variability present across human faces including colour, pose, expression, position and...