GUARDIANS OF THE INTERNET OF THINGS: A MACHINE LEARNING APPROACH FOR VULNERABILITY DETECTION IN IOT NETWORKS

B.SHIVA; Dr.MB.BRAMARAMBIKA

GUARDIANS OF THE INTERNET OF THINGS: A MACHINE LEARNING APPROACH FOR VULNERABILITY DETECTION IN IOT NETWORKS

Authors: B.SHIVA, Dr.MB.BRAMARAMBIKA

Unique Paper ID: 165910
Volume: 11
Issue: 1
PageNo: 1949-1960

Keywords: Internet Of Things (Iot) Machine Learning Techniques Security Challenges.

Abstract:
The proliferation of Internet of Things (IoT) devices has revolutionized numerous domains, from smart homes to industrial automation. However, the rapid expansion of IoT ecosystems has also introduced unprecedented security challenges. Traditional security mechanisms struggle to keep pace with the dynamic and diverse nature of IoT networks, leaving them vulnerable to various threats. In this paper, we propose a novel machine learning approach termed Guardians of the Internet of Things (GoIoT) for detecting vulnerabilities in IoT networks. The GoIoT framework leverages machine learning algorithms to analyze network traffic patterns and identify potential security vulnerabilities. By extracting features from network packets and employing supervised learning techniques, GoIoT can discern normal traffic behavior from anomalous activities indicative of potential threats or vulnerabilities. Furthermore, the framework incorporates a feedback loop mechanism, continuously adapting its models to evolving network conditions and emerging attack vectors. In conclusion, Guardians of the Internet of Things represents a significant advancement in the realm of IoT security, offering a proactive and adaptive solution for vulnerability detection. By harnessing the power of machine learning, GoIoT empowers organizations and individuals to safeguard their IoT deployments effectively, ensuring the integrity, confidentiality, and availability of connected devices and services.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 1
PageNo: 1949-1960

GUARDIANS OF THE INTERNET OF THINGS: A MACHINE LEARNING APPROACH FOR VULNERABILITY DETECTION IN IOT NETWORKS

Available:https://ijirt.org/Article?manuscript=165910

12 Dec, 2024

ACCENT, PRONUNCIATION, AND GRAMMAR: A PHONETIC APPROACH TO TEACHING SPOKEN ENGLISH FOR PROFESSIONAL COMMUNICATION

20 Nov, 2024

ASSESSING CRITICAL CARE CHALLENGES IN RESPIRATORY SUPPORT FOR TRAUMA PATIENTS WITH AIRWAY COMPROMISE

11 Nov, 2024

Exploring the Opportunities and Challenges of the Integration of Artificial Intelligence: With Reference to Media, Journalism, and Advertising

10 Nov, 2024

INVESTIGATE THE ROLE OF CROSS-CULTURAL COMPETENCE IN EFFECTIVE GLOBAL WORKFORCE MANAGEMENT

21 Oct, 2024

THE HISTORICAL IMPACT OF CASTE ON INSTRUMENTAL MUSIC IN CARNATIC AND HINDUSTANI TRADITIONS

17 Oct, 2024

AN OVERVIEW ON THE CONCEPT OF WEIGHT TRAINING, CIRCUIT WEIGHT TRAINING, AND COMBINED TRAINING

25 Sep, 2024

GENDER STEREOTYPES IN CLASSIC ‘FAIRY TALES’: A FEMINIST READING

21 Sep, 2024

MODERN INTERPRETATIONS OF SHAKESPEARE’S FEMALE CHARACTERS

19 Sep, 2024

COMPARATIVE ANALYSIS OF MAGIC REALISM IN LATIN AMERICAN AND AFRICAN LITERATURE

23 Aug, 2024

IMPACT OF MOBILE BANKING ON EXPANSION OF BANKING SERVICES

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry