Unified Classification Model to Prevent Insider Threats in Cloud Computing

Unified Classification Model to Prevent Insider Threats in Cloud Computing

Registration ID: IJNRD_181956

Published ID: IJNRD2207019

DOI: Click Here to Get

ARUL SELVAM P

Cloud Computing, Security and privacy, Insider threat prevention, Evaluation Metrics

In cloud computing public and private sectors are both spending a large portion of their budget to protect the confidentiality, integrity, and availability of their data from possible attacks. Among these attacks are insider attacks which are more serious than external attacks, as insiders are authorized users who have legitimate access to sensitive assets of an organization. As a result, several studies exist in the literature aimed to develop techniques and tools to detect and prevent various types of insider threats. A unified classification model is proposed to classify the insider threat prevention approaches into two categories biometric-based and asset-based metric. The biometric-based category is also classified into physiological, behavioral and physical, while the asset metric based category is also classified into host, network and combined. This classification systematizes the reviewed approaches that are validated with empirical results and it shows significant theoretical and empirical factors that play a key role in the effectiveness of insider threat prevention approaches such as evaluation metrics.

Published Paper   E-Certificate

"Unified Classification Model to Prevent Insider Threats in Cloud Computing", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 7, page no.155-162, July-2022, Available :https://ijnrd.org/papers/IJNRD2207019.pdf

Volume 7 Issue 7, July-2022

Pages : 155-162

Paper Reg. ID: IJNRD_181956

Published Paper Id: IJNRD2207019

Downloads: 000121114

Research Area: Engineering

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2207019.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2207019

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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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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Current Issue: Volume 10 | Issue 8

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