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Intelligent Framework for Detecting and Preventing Phishing Attacks

  • Nilesh Bhaskarrao Bahadure*
  • , Deepak Parashar
  • , Jagdish Chandra Patni
  • , Rahul Joshi
  • , Bhoomi Shah
  • , Sudhanshu Gonge
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of the automated Phishing System's continuous monitoring and improved data management is to inhance campus security. It provides round the clock campus surveillance, which monitors students' whereabouts in real time for close monitoring and security. The proposed system uses state-of-the-art data analysis and real-time recognition technology by merging instant identification & data insights to give administrators critical security information and generate thorough insights on campus behavior. The system also features an interactive dashboard and Natural Language Query System, which facilitate easy data administration and access through an easy-to-use user interface. By commission administrators to make timely, informed decisions, this fosters a campus environment that is safe and secure. The integrated system is a state-of-the-art approach to modern campus security that blends continuous monitoring with insightful data.

Original languageEnglish
Title of host publication2025 4th OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5.0, OTCON 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535360
DOIs
Publication statusPublished - 2025
Event4th OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5.0, OTCON 2025 - Raigarh, India
Duration: 09-04-202511-04-2025

Publication series

Name2025 4th OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5.0, OTCON 2025

Conference

Conference4th OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5.0, OTCON 2025
Country/TerritoryIndia
CityRaigarh
Period09-04-2511-04-25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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