Paper Title
Exploring the Integration of Edge Computing and Machine Learning in Enhancing Security for IoT Systems: Opportunities and Challenges in Intrusion Detection
Article Identifiers
Authors
Mr. Ramani K , Dr. N Chandrakala , Mr. G Binu
Keywords
Intrusion Detection Systems, Internet of Things, Anomaly Detection, Machine Learning
Abstract
The key elements of current cybersecurity approaches involve Intrusion Detection Systems (IDSs), which employ various techniques and architectures for intrusion detection. IDSs can utilize either a signature-based approach, involving cross-checking monitored events with a database of known intrusion patterns, or an anomaly-based approach, where the system learns normal behavior and detects deviations. This study focuses on surveying the utilization of IDSs in Internet of Things (IoT) networks, particularly in conjunction with edge computing to support IDS implementation. The paper identifies emerging challenges in deploying IDS in edge scenarios and proposes solutions. Emphasis is placed on anomaly-based IDSs, highlighting primary techniques for anomaly detection. Additionally, machine learning techniques and their application in the IDS context are explored, along with an analysis of the anticipated advantages and disadvantages associated with specific techniques.
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How To Cite (APA)
Mr. Ramani K, Dr. N Chandrakala, & Mr. G Binu (February-2024). Exploring the Integration of Edge Computing and Machine Learning in Enhancing Security for IoT Systems: Opportunities and Challenges in Intrusion Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), a620-a646. https://ijnrd.org/papers/IJNRD2402072.pdf
Issue
Volume 9 Issue 2, February-2024
Pages : a620-a646
Other Publication Details
Paper Reg. ID: IJNRD_213359
Published Paper Id: IJNRD2402072
Downloads: 000121981
Research Area: Science
Country: Erode, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2402072.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402072
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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