Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

As cyber-attacks become increasingly sophisticated and persistent, the need for proactive and intelligent detection mechanisms has become crucial.Traditional security systems often focus on reactive measures, detecting breaches only after damage has occurred.This paper presents an approach based on digital forensics techniques to enable early detection of ongoing cyber-attacks.By integrating forensic data collection and analysis tools with real-time monitoring systems, the proposed method can identify anomalies, trace malicious behavior, and initiate early response strategies.The study explores key forensic mechanisms such as memory analysis, log correlation, and endpoint behavior monitoring to develop an efficient detection system.Experimental results demonstrate improved detection time and accuracy compared to conventional methods, highlighting the value of forensic insights in modern cybersecurity defenses.

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Publication Details

Journal
International Journal of Research Publication and Reviews
Published
2025-05-01
DOI
https://doi.org/10.55248/gengpi.6.0525.18126
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

Suresh Sankaranarayanan, P. R. Kumar
International Journal of Research Publication and Reviews
Digital and Cyber Forensics
article

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

Suresh Sankaranarayanan, P. R. Kumar
article en

Abstract

As cyber-attacks become increasingly sophisticated and persistent, the need for proactive and intelligent detection mechanisms has become crucial.Traditional security systems often focus on reactive measures, detecting breaches only after damage has occurred.This paper presents an approach based on digital forensics techniques to enable early detection of ongoing cyber-attacks.By integrating forensic data collection and analysis tools with real-time monitoring systems, the proposed method can identify anomalies, trace malicious behavior, and initiate early response strategies.The study explores key forensic mechanisms such as memory analysis, log correlation, and endpoint behavior monitoring to develop an efficient detection system.Experimental results demonstrate improved detection time and accuracy compared to conventional methods, highlighting the value of forensic insights in modern cybersecurity defenses.

International Journal of Research Publication and ReviewsVol. 6(5)
Peace, Justice and strong institutions
Openalex Percentile: Top 83%
Digital and Cyber Forensics
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