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Papers tagged with "Spam"
Secure Communications Platform With AIML - Based Threat Detection
The Increasing Prevalence Of Spam And Scam Calls Poses A Significant Security Threat, Particularly In Multilingual Regions Such As India. This Paper Presents ShieldCall AI, An AI-driven Spam Call Detection System That Integrates Machine Lea...
AI-Powered Twitter Content Moderation Using SBERT, CNN And Bi-LSTM With Severity-Based Alert System
Social Media Platforms Such As Twitter (now X) Generate Large Volumes Of Real-time Content, Including Spam, Malicious Links, And Harmful Messages. The Rapid Spread Of Such Content Poses Significant Challenges For Manual Moderation Due To Hi...
AI Powered Content Moderation And Alert System
Social Media Platforms Such As Twitter (now X) Have Become Primary Channels For Real-time Information Exchange, En- Abling Rapid Dissemination Of News, Opinions, And Public Discourse. However, This Rapid Growth Has Also Led To A Significant...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
Deep Learning – Based Fake News Classification With Android App Integration
Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifyin...
An Adaptive Neuro Fuzzy Inference System And Semantic Analysis Model For Mobile Spam Classification
With Increased Internet Usage, One Of The Most Prevalent Problems Faced Is Constant Spamming. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devices Has Led To An Outburst Of Heavy Mobile Spa...
SMS SPAM DETECTION
Proliferation Of Mobile Devices And Short Message Service (SMS) Communication Has Led To An Increase In Unwanted Spam Messages. Users' Privacy, Security And Overall Which Negatively Affects Usage By Causing Serious Problems In Terms Of Mess...
EMAIL SPAM DETECTION USING MACHINE LEARNING
In View Of The Current COVID-19 Situation, The Globe Has Shifted To Online Communication, Leading To A Notable Rise In Data Exchange Using Platforms Like Email And Social Media. Ensuring The Safety Of These Digital Exchanges Is Crucial In T...
AUTOMATIC FILTERING OF ELECTRONIC SCAM BY LONG SHORT-TERM MEMORY APPROACH DEEP LEARNING
With The Pervasive Use Of Smartphones And SMS As A Primary Mode Of Communication, The Threat Of Electronic Scams And Spam Has Become Increasingly Prevalent. This Paper Presents A Novel Approach To Automatically Filter Electronic Scams Using...
SECUREGUARD: ROBUST SPAM DETECTION WITH SVM ALGORITHM FOR ENHANCED EMAIL FILTERING
"Secure Guard: Robust Spam Detection With SVM Algorithm For Enhanced Email Filtering" Appears To Be A Title Describing A System Or Method For Improving Email Filtering Through The Use Of A Support Vector Machine (SVM) Algorithm. Secure Guar...
A SURVEY ON SPAM DETECTION TECHNIQUES IN SOCIAL MEDIA USING MACHINE LEARNING ALGORITHMS
The Popularity Of Internet Users, Social Media Platform Is Growing Rapidly Among The Internet. The Social Media Platform Has Various Advantageous Like Communicating, Information Exchanging, Knowledge And Another Concept. However, These Soc...
AN AUTOMATED FUZZY LOGIC BASED APPROACH FOR TEXT SPAM DETECTION
With Increased Internet Usage, One Of The Most Prevalent Problems Faced Is Constant Spamming. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devices Has Led To An Outburst Of Heavy Mobile Spa...
SPAM AND HAM MAIL DETECTION
The Focus Of This Paper It Is Crucial To Create And Install A Program That Can Track And Identify Phishing E-mails Threats In A Network Connection. There Are Many Different Techniques Available That Can Be Very Helpful Is Developing A Model...
A REVIEW ON MACHINE LEARNING APPROACHES FOR AUTOMATED SPAM CLASSIFICATION
Web Users Are Continuously Bombarded With Spamming Attacks. Sometimes, Such Spamming Attacks May Successfully Re-direct The User To A Malicious Web Link Which Is Generally Termed As Re-direction Spam. However, Genuine Re-directions Are Also...
ANALYSIS OF MACHINE LEARNING ALGORITHMS USED FOR SHORT MESSAGE SERVICE (SMS) SPAM CLASSIFICATION
SMS, Or Short Message Service, Is A Vital Instrument For Communication On A Global Scale. SMS Is A Marketing Tool Used By Businesses, But Regrettably Some People Exploit It To Send Spam. Worldwide, These Spam And Promotional Texts Are Frequ...