|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: April 2024
Volume 9 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Cyber Bullying Detection on Social Media Using Machine Learning |
| Authors Name: | S.Mani Arasi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_181487
|
| Published Paper Id: | IJNRD2205116 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Cyber bullying, Social Media, BERT, NLP, Semi-supervised learning , Twitter API. |
| Cite Article: | "Cyber Bullying Detection on Social Media Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.975-981, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205116.pdf |
| Downloads: | 000118755 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2205116 Registration ID: 181487 Published In: Volume 7 Issue 5, May-2022 DOI (Digital Object Identifier): Page No: 975-981 Country: Thoothukodu, Tamil nadu, India Research Area: Science Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2205116 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2205116 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn