Investigating The Effect of Social Engineering Techniques on Employees Vulnerability(Case study: Tehran Municipality Employees)
Journal Title: Electronic and Cyber Defense - Year 2023, Vol 11, Issue 1
Abstract
Social engineering is the art of deceiving people in a way that no use of force and threat, something to do or provide that information to social engineer . Social engineering can follow self-interest or organizational or national interest. Hackers, criminals, spies, saboteurs and ... all use social engineering to achieve their goals .social engineer uses Various techniques. In this study, the effect of this techniques on the vulnerability of people looked at the combined method (qualitative and quantitative ) to measure this effect .First, various social engineering techniques as well as their vulnerability conducted by reviewing previous research and the interviewing with the experts in the field of engineering social was obtained and different techniques in a variety of technical, social, physical and technical â social were categorized. Afterwards in quantitative stage, By creating a questionnaire and various Items In the form of Likert scale and Provide the questionnaire to the target community(Employees of Tehran Municipality) The degree of vulnerability of people to a variety of social engineering techniques was obtained. It was found vulnerability of the target population is more than to the techniques of technical, social, technical â social and physical respectively . to prevent social engineering, human âdriven and technology âbased solutions were proposed that human âcentered mainly on training personnel and IT solutions based on the provision of the right equipment, computers and creating a right information access cycle in organizations .
Authors and Affiliations
Seyyedhasan Hoseini,nasim majidi gahrodi,
Keywords
Related Articles
- EP ID EP730543
- DOI -
- Views 67
- Downloads 0
Distributed Solving of Weapon Target Assignment Problem using Learning Automata
This article presents a method to solve the weapon target assignment problem, which is one of the problems of distributed constraint optimization. The previous methods do not guarantee the convergence problem properly an...
Developing an Improved Method for Malware Attack Detection in Cloud Computing using Ensemble Learning
Nowadays, detecting unusual events in the network has been the subject of many researches. Network traffic is huge and very large, and this leads to high data size and increased noise, which makes it very difficult to ex...
Reducing the Effects of Deception Attack on GPS Receivers of Phasor Measurement Units using Neural Networks
Accurate timing is one of the key features of the Global Positioning System (GPS), which is employed in many critical infrastructures. Any imprecise time measurement in GPS-based structures, such as smart power grids, an...
Energy Aware Routing in the Internet of Things using improved Grasshopper Metaheuristic Algorithm
In most Internet of Things (IoT) applications, network nodes are limited in terms of energy source. Therefore, the need for innovative methods to eliminate energy loss which shortens the life of networks is fully felt in...
Identify malicious traffic on IoT infrastructure using neural networks and deep learning
The Internet of Things is a network of physical devices and equipment that includes sensors, software, and other technologies for exchanging data with other devices and systems over the Internet. The spread of the Intern...