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

S.Mani Arasi (May-2022). Cyber Bullying Detection on Social Media Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 975-981. 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: 000121986

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

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