Exploring the Integration of Edge Computing and Machine Learning in Enhancing Security for IoT Systems: Opportunities and Challenges in Intrusion Detection

Exploring the Integration of Edge Computing and Machine Learning in Enhancing Security for IoT Systems: Opportunities and Challenges in Intrusion Detection

Registration ID: IJNRD_213359

Published ID: IJNRD2402072

DOI: Click Here to Get

Mr. Ramani K , Dr. N Chandrakala , Mr. G Binu

Intrusion Detection Systems, Internet of Things, Anomaly Detection, Machine Learning

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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"Exploring the Integration of Edge Computing and Machine Learning in Enhancing Security for IoT Systems: Opportunities and Challenges in Intrusion Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a620-a646, February-2024, Available :https://ijnrd.org/papers/IJNRD2402072.pdf

Volume 9 Issue 2, February-2024

Pages : a620-a646

Paper Reg. ID: IJNRD_213359

Published Paper Id: IJNRD2402072

Downloads: 000121203

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

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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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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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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