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https://ieeexplore.ieee.org/document/9862857
Submission Tags: falconsandbox
Submission: On August 12 via api from US — Scanned from DE
Submission Tags: falconsandbox
Submission: On August 12 via api from US — Scanned from DE
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Skip to Main Content * IEEE.org * IEEE Xplore * IEEE SA * IEEE Spectrum * More Sites Subscribe * * Donate * Cart * * * Create Account * Personal Sign In * Browse * My Settings * Help Institutional Sign In Institutional Sign In AllBooksConferencesCoursesJournals & MagazinesStandardsAuthorsCitations ADVANCED SEARCH Conferences >2022 IEEE India Council Inter... PHISHGUARD - AN AUTOMATIC WEB PHISHING DETECTION SYSTEM Publisher: IEEE Cite This PDF Smiti Poddar; Harsh Salkar; Priya Agarwal; Deepak Karia; Milind Paraye; Dayanand Ambawade; Narendra Bhagat All Authors Sign In or Purchase to View Full Text 2 Cites in Papers 154 Full Text Views * * * * * Alerts ALERTS Manage Content Alerts Add to Citation Alerts -------------------------------------------------------------------------------- Abstract Document Sections * I. Introduction * II. Related Work * III. Research Gap * IV. Objectives of Proposed Work * V. Methodology Show Full Outline Authors Figures References Citations Keywords Metrics More Like This * Download PDF * Download References * * Request Permissions * Save to * Alerts ABSTRACT: People are being compelled to adopt a "work from home" strategy because of the COVID-19 outbreak. In today’s world, the Internet has evolved into a powerful tool for soci...View more METADATA ABSTRACT: People are being compelled to adopt a "work from home" strategy because of the COVID-19 outbreak. In today’s world, the Internet has evolved into a powerful tool for social connection. People’s reliance on digital platforms creates opportunities for deception. Phishing websites are one of the types of internet security issues that target human vulnerabilities rather than software flaws. It is defined as the act of impersonating someone else to steal sensitive information such as usernames and passwords from online users. In this research, we provide an intelligent system for identifying phishing websites that work as an extension to an internet browser and automatically warn the user when a phishing website is detected. Published in: 2022 IEEE India Council International Subsections Conference (INDISCON) Date of Conference: 15-17 July 2022 Date Added to IEEE Xplore: 24 August 2022 ISBN Information: DOI: 10.1109/INDISCON54605.2022.9862857 Publisher: IEEE Conference Location: Bhubaneswar, India Contents -------------------------------------------------------------------------------- I. INTRODUCTION Social engineering is the technique of manipulating people so they give up confidential information. The types of data these hackers look for can vary, but when a user is targeted, they’re usually trying to trick you into giving them your passwords or sensitive information, or into gaining access to your computer so that they can secretly install malicious software that provides them access to your passwords and bank information also as control over your computer. Sign in to Continue Reading Authors Figures References Citations Keywords Metrics More Like This An Open-Source Software Library for Explainable Support Vector Machine Classification 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Published: 2022 Application of Support Vector Machine Classification to Enhanced Protection Relay Logic in Electric Power Grids 2007 Large Engineering Systems Conference on Power Engineering Published: 2007 Show More REFERENCES References is not available for this document. IEEE PERSONAL ACCOUNT * Change username/password PURCHASE DETAILS * Payment Options * View Purchased Documents PROFILE INFORMATION * Communications Preferences * Profession and Education * Technical interests NEED HELP? * US & Canada: +1 800 678 4333 * Worldwide: +1 732 981 0060 * Contact & Support FOLLOW * * * * * About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. IEEE ACCOUNT * Change Username/Password * Update Address PURCHASE DETAILS * Payment Options * Order History * View Purchased Documents PROFILE INFORMATION * Communications Preferences * Profession and Education * Technical Interests NEED HELP? * US & Canada: +1 800 678 4333 * Worldwide: +1 732 981 0060 * Contact & Support * About IEEE Xplore * Contact Us * Help * Accessibility * Terms of Use * Nondiscrimination Policy * Sitemap * Privacy & Opting Out of Cookies A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.