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Towards a Conceptual Model for Mitigating against Social Engineering on the Online Social Network (OSN)

Ololade, Olabode (2018) Towards a Conceptual Model for Mitigating against Social Engineering on the Online Social Network (OSN). Masters thesis, Dublin, National College of Ireland.

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Abstract

Defeating social engineering in recent times has proven to be quite herculean as it most times defeats traditional security measures. The security of Online Social Network (OSN) users typically depends finally on the OSN users as they are the creators of the desired content they upload, post, update and display on the OSN. Daily, a large amount of Sensitive Personal Information (SPI) or Personal Identifiable Information is sent through the Online Social Network (OSN) and as a result of this, some users are susceptible to social engineering attacks based on PII they post. In this research, we have developed a novel solution called the Social Engineering Notification System (SENS) to improve the Security and Privacy Settings of the Online Social Network (OSN). SENS has an embedded indicator that determines the risk measurement from (Low risk, medium risk, and high risk) and also displays susceptible keywords to further guide the users based on the number of susceptible keywords and certain potential PII with high value. This solution can be replicated and integrated into any social media platform to enable OSN users to have more control and monitoring ability on their potential post before going live on the OSN. By so doing, SENS will minimize the high volume of Sensitive Personal Information (SPI) or Personal Identifiable Information (PII) OSN users post on their profile. With SENS we believe there is a great potential to bridge the gap between the OSN users inability to vet their post/updates for sensitive personal information (SPI) hence improving privacy and mitigating against the feasibility of social engineering attack on OSN users.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 30 Jan 2019 16:43
Last Modified: 31 Jan 2019 13:25
URI: http://trap.ncirl.ie/id/eprint/3559

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