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)
Because of the rapid changes and variations in the internet over the past several years, the accuracy in detecting harmful behaviour online may be seen as a highly complex issue. In terms of spotting harmful behaviour, classification algorithms' potential is thriving. This research study adds to the use of several categorization algorithms for the purpose of detecting harmful activity in various internet zones. Algorithms for categorization include decision trees, support vector machines, and random forests. The information, which includes a number of characteristics, was gathered from several cyber security research organisations. The recall, precision, f1-score accuracy, and execution time of the classification algorithms were evaluated and trained using a variety of testing and training conditions. Decision trees are among the quickest models to run in terms of execution time, and decision tree classifiers are the superior choice in terms of run time.
Keywords:
Cite Article:
"MALICIOUS ACTIVITY DETECTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b477-b483, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304157.pdf
Downloads:
000118751
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
Facebook Twitter Instagram LinkedIn