UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2308345


Registration ID:
523282

Page Number

d363-d372

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Title

AN ADAPTIVE INTRUSION DETECTION SYSTEM FOR IoT NETWORKS

Abstract

The number of diverse interconnected Internet of Things (IoT) devices keeps increasing exponentially, introducing new security and privacy challenges. These devices tend to become more pervasive than mobile phones and already have access to very sensitive personal information such as usernames, passwords, etc., making them a target for cyber-attacks. Given that smart devices are vulnerable to a variety of attacks, they can be considered to be the weakest link for breaking into a secure infrastructure. For instance, IoT devices have recently been employed as part of botnets, such as Mirai, and have launched several of the largest Distributed Denial of Service (DDoS) and spam attacks in history. Over the past few year the development in mobile industry and development of internet, network for all, 4G, 5G etc. enable the ordinary people to elite peoples depends on mobile networks for regular business developments, entertainment, medical and educational needs. It is mandatory to provide the high level of security and dual privacy protection to the users sharing the large set of information through the cloud. Intrusion Detection System (IDS) defined as a Device or software application which monitors the network or system activities and finds if there is any malicious activity occurs. Outstanding growth and usage of internet raises concerns about how to communicate and protect the digital information safely. In today's world hackers use different types of attacks for getting the valuable information. Many of the intrusion detection techniques, methods and algorithms help to detect those several attacks.The number of diverse interconnected Internet of Things (IoT) devices keeps increasing exponentially, introducing new security and privacy challenges. These devices tend to become more pervasive than mobile phones and already have access to very sensitive personal information such as usernames, passwords, etc., making them a target for cyber-attacks. Given that smart devices are vulnerable to a variety of attacks, they can be considered to be the weakest link for breaking into a secure infrastructure. For instance, IoT devices have recently been employed as part of botnets, such as Mirai, and have launched several of the largest Distributed Denial of Service (DDoS) and spam attacks in history. Over the past few year the development in mobile industry and development of internet, network for all, 4G, 5G etc. enable the ordinary people to elite peoples depends on mobile networks for regular business developments, entertainment, medical and educational needs. It is mandatory to provide the high level of security and dual privacy protection to the users sharing the large set of information through the cloud. Intrusion Detection System (IDS) defined as a Device or software application which monitors the network or system activities and finds if there is any malicious activity occurs. Outstanding growth and usage of internet raises concerns about how to communicate and protect the digital information safely. In today's world hackers use different types of attacks for getting the valuable information. Many of the intrusion detection techniques, methods and algorithms help to detect those several attacks.

Key Words

IoT, DDoS, IDS

Cite This Article

"AN ADAPTIVE INTRUSION DETECTION SYSTEM FOR IoT NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.d363-d372, August-2023, Available :http://www.jetir.org/papers/JETIR2308345.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AN ADAPTIVE INTRUSION DETECTION SYSTEM FOR IoT NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppd363-d372, August-2023, Available at : http://www.jetir.org/papers/JETIR2308345.pdf

Publication Details

Published Paper ID: JETIR2308345
Registration ID: 523282
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: d363-d372
Country: Puducherry, Puducherry, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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