An Investigation of AI enabled SoE Attacking Impact in Higher Learning Institute: Structural Equation Modeling (SEM) Approach

Journal of Applied & Computational Mathematics, Vol. 7, 2018

4 Pages Posted: 31 Jan 2019

See all articles by Dr. Abdullah-Al- Musa

Dr. Abdullah-Al- Musa

Universiti Malaysia Kelantan

Nik Zulkarnaen Khidzir

Universiti Malaysia Kelantan

Tan Tse Guan

Universiti Malaysia Kelantan

Date Written: September 1, 2018

Abstract

Theory of artificial enabled social engineering attacking risk factors are employed in this study to determine the impact that disturbed the personal productivity of higher learning institute of the user towards the AI enable SoE attacking. Five independent variable which are threat, vulnerability, valuation, countermeasure and personal disturbance factors using in this paper. Moreover using as an indicator in determining disturbance of personal productivity in an higher learning institute. Since multiple regression by using Structural Equation Modelling-Partial Least Square (SEM-PLS) is used to examine the collection of data by a questionnaire which is relevant with AI enable SE attacking risk. And the resulting point out three independent variable significantly influences the personal productivity in higher learning institute. As a matter of fact this study concludes that the foremost influence factor on disturbance of personal productivity in higher learning institute towards the AI enables SoE attacking risk factors such as threat, vulnerability, valuation and countermeasure. This study contributes to introductory study but vibrant understanding in stimulating the higher learning institute to become a worldwide institution.

Keywords: Socialengineering(SoE); Threat; Valuation; Vulnerability countermeasure; Partial least square (PLS); Structural equation modelling

Suggested Citation

Musa, Dr. Abdullah-Al- and Khidzir, Nik Zulkarnaen and Guan, Tan Tse, An Investigation of AI enabled SoE Attacking Impact in Higher Learning Institute: Structural Equation Modeling (SEM) Approach (September 1, 2018). Journal of Applied & Computational Mathematics, Vol. 7, 2018, Available at SSRN: https://ssrn.com/abstract=3319324

Dr. Abdullah-Al- Musa (Contact Author)

Universiti Malaysia Kelantan ( email )

Daffodil International University Daffodil Smart C
Dhaka
Dhaka, Dhaka 1216
Bangladesh

Nik Zulkarnaen Khidzir

Universiti Malaysia Kelantan ( email )

Karung Berkunci 36, Taman Bendahara, 16100 Pengkal
16100 Pengkalan Chepa, Kelanta, Kelantan 16100
Malaysia

Tan Tse Guan

Universiti Malaysia Kelantan

Karung Berkunci 36
Pengkalan Chepa
Kota Bharu, Kelantan 16100
Malaysia

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