Abstract: Organisations and individuals have greatly embraced Information and Communication Technologies (ICTs) in their operations in order to reap the best of benefits from systems, networks, software platforms, and even Internet services. However, by organisations and users relying heavily on ICTs and cyberspace, challenges arises to ensure that critical data, information and files belonging to organisations and users are securely protected against unauthorized access, theft, modification or destruction by the iPredators whether in their storage servers or while in transit between user accounts or web servers. To maintain strong information technology and information security posture, huge investments are made on acquiring equipments, systems and technologies to secure data and Information assets. In spite of this, users and organisations continue to suffer huge losses due to compromised systems and networks arising from loss of user data and sensitive information through unauthorized access by iPredators. To avoid the risks involved while attempting to break into the highly secured computer systems and networks, the iPredators prefer deceiving the end users into diverting access information to them (iPredators) in order to circumvent computer security and execute attacks against the targets. This paper therefore sought to investigate the digital and online habits or activities by end users that make them most susceptible to iPredators’ social engineering attacks. The researcher adopted the quantitive research design. A purposive sampling technique was adopted to identify the respondents who were to participate in the study’s survey. Online survey technique was adopted by the study using structured questionnaire.
Keywords: iPredators, social engineering, digital technology end users.
Title: An Investigation into End Users’ Factors Leading to iPredators’ Social Engineering Attacks in Cyberspace
Author: Ambrose Kinyanjui Muchonjo, Prof. Gregory Wanyembi, Dr. Cyrus Makori
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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