THE IMPACT OF ARTIFICIAL INTELLIGENCE IN COMBATING SOCIAL ENGINEERING ATTACKS: A CASE STUDY OF NIGERIAN CYBERSECURITY AGENCIES IN KANO STATE
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- Table of Content: Available
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- NGN 5000
CHAPTER ONE
1.1 Background of the Study
Social engineering attacks exploit human psychology to deceive individuals into divulging sensitive information or performing actions that compromise security. Common forms of social engineering include phishing, pretexting, baiting, and impersonation. Nigerian cybersecurity agencies are at the forefront of mitigating these threats, but the increasing sophistication of social engineering techniques poses significant challenges.
Artificial Intelligence (AI) has emerged as a powerful tool in combating social engineering attacks. AI systems analyze behavioral patterns, detect anomalies in communication, and flag potential phishing attempts. By leveraging machine learning, these systems can identify subtle indicators of manipulation that humans might overlook. In Kano State, where cybersecurity agencies are tasked with safeguarding critical infrastructure, the role of AI in combating social engineering attacks is crucial.
This study examines the impact of AI in combating social engineering attacks, focusing on its application within Nigerian cybersecurity agencies in Kano State.
1.2 Statement of the Problem
Social engineering attacks have become a persistent threat to cybersecurity, exploiting human vulnerabilities rather than technological flaws. Nigerian cybersecurity agencies in Kano State face challenges in effectively identifying and mitigating these attacks. This study investigates how AI technologies can enhance the detection and prevention of social engineering attacks.
1.3 Aim and Objectives of the Study
The aim of this study is to assess the impact of AI in combating social engineering attacks in Nigerian cybersecurity agencies. The specific objectives are:
- To evaluate the effectiveness of AI in detecting social engineering attacks.
- To identify the challenges of implementing AI systems for social engineering prevention.
- To analyze the impact of AI-based solutions on the success rate of mitigating social engineering threats.
1.4 Research Questions
- How effective are AI technologies in combating social engineering attacks in Nigerian cybersecurity agencies?
- What challenges do cybersecurity agencies face in adopting AI systems for social engineering prevention?
1.5 Research Hypotheses
- AI systems significantly improve the detection and prevention of social engineering attacks.
- The adoption of AI-based solutions enhances cybersecurity agency effectiveness in Kano State.
- Limited technical expertise and resources hinder the implementation of AI systems.
1.6 Significance of the Study
This study provides valuable insights into the role of AI in addressing the growing challenge of social engineering attacks. It offers practical recommendations for Nigerian cybersecurity agencies, contributing to improved cybersecurity frameworks.
1.7 Scope and Limitation of the Study
The study focuses on Nigerian cybersecurity agencies in Kano State and their use of AI technologies to combat social engineering attacks. It does not cover other cyber threats or regions. Limitations include access to sensitive cybersecurity data and the level of AI adoption.
1.8 Definition of Terms
- Artificial Intelligence (AI): Technology that simulates human intelligence for analyzing and preventing security threats.
- Social Engineering Attacks: Cyberattacks that manipulate individuals to breach security systems.
- Cybersecurity Agencies: Organizations responsible for protecting systems, networks, and data from cyber threats.
- Kano State: A state in northern Nigeria that is a hub for cybersecurity initiatives.
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