SECURING SECRET DATA USING WATERMARKING TECHNIQUE WITH GENETIC ALGORITHM AND ATTRIBUTE-BASED ENCRYPTION TECHNIQUE

Abstract

This paper presents a parsimonious model that builds on technology acceptance research and insights from criminology to identify factors that reduce Internet users’ intended to use online services. We hypothesize that avoidance of online banking, online shopping and online social networking is increased by cybercrime victimization and media reports. The effects are mediated by the perceived risk of cybercrime and moderated by the user’s confidence online. We test our hypotheses using a structural equation modeling analysis of a representative pan-European sample. Our empirical results confirm the negative impact of perceived risk of cybercrime on the use of all three online service categories and support the role of cybercrime experience as an antecedent of perceived risk of cybercrime. Cybercrime risks are avoided by watermarking technique. Index terms: cybercrime, structural equation model, RRW, PEEW, DEW, GADEW, non numerical data.