M Nived
, Sariki Pphhane , Subhash Krishna P , M Sai Sri Vatsal , Dr. Renukadevi S
WebCred Prognosticator, Machine Learning (ML), Artificial Intelligence (AI), Natural Language Progressing (NLP), Uniform Resource Locator (URL).
An integrated approach to online trust and security combines user-driven credibility analysis with automated phishing detection systems. User ratings inform a trust prediction system, while sophisticated algorithms swiftly identify phishing threats based on website characteristics. This approach empowers users, fosters secure online transactions, and enables proactive updates through machine learning. By merging these methodologies, we create a robust framework that safeguards online interactions, bolsters trust, and fortifies the digital ecosystem against malicious activities.
Volume 2
Issue 5,
May-2024
Pages : a142-a144
Paper Reg. ID: JNRID_700255
Published Paper Id: JNRID2405014
Downloads: 000270
Research Area: Science and Technology
Country: Bengaluru, Karnataka, India
ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: JNRID (IJ Publication) Janvi Wave
