Analysis of Endpoint DLP Architectures for Encrypted Data Exfiltration | IJET Volume 12 – Issue 3 | IJET-V12I3P54

International Journal of Engineering and Techniques (IJET) Logo

International Journal of Engineering and Techniques (IJET)

Open Access • Peer Reviewed • High Citation & Impact Factor • ISSN: 2395-1303

Volume 12, Issue 3  |  Published: June 2026

Author: Sagar Gaikwad, Ajay Nagne

DOI: https://doi.org/{{doi}}  â€˘  PDF: Download

Abstract

As more businesses begin to use encryption tech- nology, the security of data has enhanced tremendously over the years. However, it has also made it difficult to prevent data exfiltration. Conventional data loss prevention (DLP) tools often fail to scan encryption traffic, which makes them worse against advanced attacks. A different take on DLP architecture involves endpoint-based monitoring of data just before it gets encrypted. The different endpoint DLP architecture and their effective- ness in spotting and stopping encrypted data exfiltration is studied here. The study examines how these systems work, the methods they use and the problems they face in practice. The objective of this project is to provide an overview of the endpoint- based protection mechanisms in modern cybersecurity.

Keywords

Data Loss Prevention, Endpoint Security, Data Exfiltration, Encryption, Cybersecurity, Information Security

Conclusion

The paper analyses endpoint DLP architectures in the con- text of encrypted data exfiltration. Detecting ‘Data Exfiltration’ is easy with the use of endpoint-based monitoring, study indicates. The constraints of network-based systems are surpassed by the exploitation of data prior to encryption. Combining multiple detection techniques will enhance their effectiveness in detecting security threats. Even with challenges remaining, endpoint data loss preven- tion architectures are essential to modern cybersecurity.

References

[1]R. Anderson, Security Engineering: Principles and Practices in Modern Systems. Wiley Publications, 2023. [2]M. Bishop, Computer Security: Art and Science of Protecting Informa- tion Systems. Pearson Education, 2022. [3]W. Stallings, Cryptography and Network Security: Principles and Prac- tice. Pearson, 2023. [4]S. Garfinkel and G. Spafford, “Data Leakage Prevention Techniques and Enterprise Security Strategies,” ACM Computing Surveys, 2022. [5]National Institute of Standards and Technology (NIST), “Data Loss Prevention Guidelines and Best Practices,” NIST Publications, 2023. [6]Cisco Systems, “Data Exfiltration Trends and Enterprise Security In- sights Report,” Cisco Security Reports, 2024. [7]IBM Security, “Cost of Data Breach Report: Analysis of Modern Cyber Threats,” IBM Research, 2023. [8]K. Scarfone and M. Souppaya, “Guide to Data Protection Technologies and Endpoint Security,” NIST Special Publications, 2022. [9]P. Sharma and A. Verma, “Endpoint Security Systems and Data Loss Prevention Techniques,” Journal of Cybersecurity Research, 2024. S. Kumar and R. Patel, “Detecting Encrypted Data Exfiltration Using Endpoint Monitoring Approaches,” International Journal of Information Security, 2023.

Cite this article

APA
Sagar Gaikwad, Ajay Nagne (june 2026). Analysis of Endpoint DLP Architectures for Encrypted Data Exfiltration. International Journal of Engineering and Techniques (IJET), 12(3). https://doi.org/{{doi}}
Sagar Gaikwad, Ajay Nagne, “Analysis of Endpoint DLP Architectures for Encrypted Data Exfiltration,” International Journal of Engineering and Techniques (IJET), vol. 12, no. 3, June 2026, doi: {{doi}}.
Submit Your Paper