Rootkit Detecting Application

Rootkits are malicious software designed to conceal the presence of unauthorized access to a computer system. Detecting rootkits is challenging due to their ability to evade traditional security mechanisms. This project proposes a novel rootkit detection technique based on behavioural analysis, security log analysis and anomaly detection. The approach Uses such an algorithm that baselines system behaviour and identify deviations indicative of rootkit activity. Key features include dynamic analysis of system calls, file system interactions, and network traffic patterns. Evaluation results demonstrate the effectiveness of the proposed method in detecting both known and novel rootkits with high accuracy and low false positives.

Authors

Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2025-04-23
DOI
https://doi.org/10.59256/indjcst.20250401026
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

Rootkit Detecting Application

N. V. S. Sree Rathna Lakshmi, Raja Durai
Indian Journal of Computer Science and Technology
Software System Performance and Reliability
article

Rootkit Detecting Application

N. V. S. Sree Rathna Lakshmi, Raja Durai
article en

Abstract

Rootkits are malicious software designed to conceal the presence of unauthorized access to a computer system. Detecting rootkits is challenging due to their ability to evade traditional security mechanisms. This project proposes a novel rootkit detection technique based on behavioural analysis, security log analysis and anomaly detection. The approach Uses such an algorithm that baselines system behaviour and identify deviations indicative of rootkit activity. Key features include dynamic analysis of system calls, file system interactions, and network traffic patterns. Evaluation results demonstrate the effectiveness of the proposed method in detecting both known and novel rootkits with high accuracy and low false positives.

Indian Journal of Computer Science and Technology
Openalex Percentile: Top 92%
Software System Performance and Reliability
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