Social Engineering (SoE) Attacks Towards Network Security in Higher Learning Institute: The Partial Least Squares Path Modeling Approach

Abstract

The basic network security issues have changed very little over the past decade. Protecting the confidential institutional information , preventing unauthorized access defending the network against SoE attacks remain primary concerns of network security professional toady. Widespread remote access by the high number of increasing sophisticated SoE attacks is making network security significantly more challenging in the institute . Confidential information can reside in two states on a network . It can reside on institutional physical storage media , such as a hard drive or memory , or it can reside in transit across the physical network wire in the form of packets. These two information states present multiple opportunities for SoE attacks from users in higher leaning institute internal network , as well as those users on the internet. Given the dramatic rise in external security threats , couples with the rising cost of network intrusions. Institution are more pressured than ever to define and protect their network perimeter . There is no choice for the institute but to keep abreast of large number of security issues confronting in today’s world.