A Proposed Approach to Analyze Insider Threat Detection Using Emails
Abstract
As we know, now a days everything is more dependent on technology, also all the private and government organizations are using technology for accomplishing each and every task. This results into that they are more prone to threats. Threats can be originated from inside or outside the organization. As per the study, insider threats are increasing in number as compared to external threats and even more dangerous too. Due to more privacy factors and hierarchy system within the organization external threats can be easily detected as compared to insider threats. So, there is need to focus on detection of insider threats. As lot of research has been undertaking on insider threat detection using user activity logs for analyzing behavior but no such extensive research has carried out on behavior detection using emails and its content. So, the main focus of this research paper is to propose a methodology for analyzing behavioral changes using email content.
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Cross-platform compatibility is a challenge for insider threat detection systems, necessitating that they work seamlessly across diverse platforms including cloud environments, mobile devices, and legacy systems.
“Cross-platform compatibility is another challenge, necessitating that insider threat detection systems work seamlessly across diverse platforms, including cloud environments, mobile devices, and legacy systems. The development of platform-agnostic solutions and addressing compatibility issues with evolving technologies ensures consistent threat detection capabilities across different environments”
From A Review of Recent Advances, Challenges, and Opportunities in Malicious Insider Threat Detection Using Machine Learning Methods (2024) · cites this paper as [33]
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References 27 · Cited by 8
- Authors
- Mittal, A., & Garg, U.
- Affiliations
- Chandigarh University (IN)
- Venue
- 2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM)
- Publisher
- IEEE
- Published
- 2022-11-15
- Pages
- 1-6
- OpenAlex
- W4312090481
- Cited by
- 8
- References
- 27
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4
- FWCI
- 1.56
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Computation, Automation and Knowledge Management (ICCAKM) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- insider threat detection, email content analysis, behavioral change detection, email security, organizational security
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