Cyber Bullying Detection on Social Media Using Machine Learning

Cyber Bullying Detection on Social Media Using Machine Learning

Registration ID: IJNRD_181487

Published ID: IJNRD2205116

DOI: Click Here to Get

S.Mani Arasi

Cyber bullying, Social Media, BERT, NLP, Semi-supervised learning , Twitter API.

Malicious software deliberately affects the computer systems. Malware are analyzed using static or dynamic analysis techniques. Using these techniques, unique patterns are classified and predicted to detect malware correctly. In the past decade, many malware detection techniques have been proposed using various techniques. Mostly network based, for example DDoS attacks are widely known network security risk. Typically, they involve overflowing network devices with more requests than they can handle, thus preventing the server from answering legitimate requests. The biggest security risks involve software. Software attacks can exploit entire systems, steal information, alter data, deny service and compromise or damage devices. We are particularly interested in dynamic analysis to develop the malware detection system using machine learning techniques. In this paper, a behavior-based malware detection technique has been proposed. For developing this technique, we setup the dynamic analysis environment and run malware samples using the classification algorithms. Then, various behavior artifacts like PSI, API calls, registry changes, file operations, etc. were extracted for malware detection system. For developing this technique, we setup the dynamic analysis environment and run malware samples using the classification algorithms.

Published Paper   E-Certificate

"Cyber Bullying Detection on Social Media Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 5, page no.975-981, May-2022, Available :https://ijnrd.org/papers/IJNRD2205116.pdf

Volume 7 Issue 5, May-2022

Pages : 975-981

Paper Reg. ID: IJNRD_181487

Published Paper Id: IJNRD2205116

Downloads: 000121206

Research Area: Science

Country: Thoothukodu, Tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205116.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205116

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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