# Spam and Phishing Detection

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/spam-and-phishing-detection/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the detection and prevention of phishing attacks, including techniques such as spam detection, machine learning, bot detection, review spam analysis, URL filtering, and defense against Sybil attacks in social networks. The research also explores behavioral analysis for identifying suspicious activities and emphasizes the importance of security education in mitigating phishing threats. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11644 |
| Works | 116 |

## Topic papers all

Showing 15 of 116.

- [Shifting attention to accuracy can reduce misinformation online](https://scholariq.org/papers/shifting-attention-to-accuracy-can-reduce-misinformation-online/)
- [Website Fingerprinting at Internet Scale](https://scholariq.org/papers/website-fingerprinting-at-internet-scale/)
- [Combating Fake News](https://scholariq.org/papers/combating-fake-news/)
- [Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media](https://scholariq.org/papers/sentiment-analysis-of-covid-19-tweets-by-deep-learning-classifiers-a-study-to/)
- [Shilling attacks against recommender systems: a comprehensive survey](https://scholariq.org/papers/shilling-attacks-against-recommender-systems-a-comprehensive-survey/)
- [Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings](https://scholariq.org/papers/combating-fake-news-on-social-media-with-source-ratings-the-effects-of-user-and/)
- [Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier](https://scholariq.org/papers/aspect-term-extraction-for-sentiment-analysis-in-large-movie-reviews-using-gini/)
- [A Taxonomy of Dirty Data](https://scholariq.org/papers/a-taxonomy-of-dirty-data/)
- [Sentiment analysis on the impact of coronavirus in social life using the BERT model](https://scholariq.org/papers/sentiment-analysis-on-the-impact-of-coronavirus-in-social-life-using-the-bert/)
- [Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives](https://scholariq.org/papers/cyber-threat-intelligence-mining-for-proactive-cybersecurity-defense-a-survey/)
- [PhishStorm: Detecting Phishing With Streaming Analytics](https://scholariq.org/papers/phishstorm-detecting-phishing-with-streaming-analytics/)
- [Fake News Detection Using Machine Learning approaches: A systematic Review](https://scholariq.org/papers/fake-news-detection-using-machine-learning-approaches-a-systematic-review/)
- [Deep learning to filter SMS Spam](https://scholariq.org/papers/deep-learning-to-filter-sms-spam/)
- [A Novel Stacking Approach for Accurate Detection of Fake News](https://scholariq.org/papers/a-novel-stacking-approach-for-accurate-detection-of-fake-news/)
- [The False positive problem of automatic bot detection in social science research](https://scholariq.org/papers/the-false-positive-problem-of-automatic-bot-detection-in-social-science-research/)

## Topic primary papers

Showing 15 of 37.

- [PhishStorm: Detecting Phishing With Streaming Analytics](https://scholariq.org/papers/phishstorm-detecting-phishing-with-streaming-analytics/)
- [Deep learning to filter SMS Spam](https://scholariq.org/papers/deep-learning-to-filter-sms-spam/)
- [The False positive problem of automatic bot detection in social science research](https://scholariq.org/papers/the-false-positive-problem-of-automatic-bot-detection-in-social-science-research/)
- [Spam detection in social media using convolutional and long short term memory neural network](https://scholariq.org/papers/spam-detection-in-social-media-using-convolutional-and-long-short-term-memory/)
- [Optimizing semantic LSTM for spam detection](https://scholariq.org/papers/optimizing-semantic-lstm-for-spam-detection/)
- [Sybil Defense Techniques in Online Social Networks: A Survey](https://scholariq.org/papers/sybil-defense-techniques-in-online-social-networks-a-survey/)
- [Understanding the domain registration behavior of spammers](https://scholariq.org/papers/understanding-the-domain-registration-behavior-of-spammers/)
- [A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors](https://scholariq.org/papers/a-machine-learning-approach-to-detection-of-javascript-based-attacks-using-ast/)
- [A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators](https://scholariq.org/papers/a-deep-learning-based-innovative-technique-for-phishing-detection-in-modern/)
- [Spam Detection on Social Media Using Semantic Convolutional Neural Network](https://scholariq.org/papers/spam-detection-on-social-media-using-semantic-convolutional-neural-network/)
- [Convolutional Neural Network Based SMS Spam Detection](https://scholariq.org/papers/convolutional-neural-network-based-sms-spam-detection/)
- [SMSPROTECT: An automatic smishing detection mobile application](https://scholariq.org/papers/smsprotect-an-automatic-smishing-detection-mobile-application/)
- [Improving the phishing website detection using empirical analysis of Function Tree and its variants](https://scholariq.org/papers/improving-the-phishing-website-detection-using-empirical-analysis-of-function/)
- [Comparison of machine learning techniques for spam detection](https://scholariq.org/papers/comparison-of-machine-learning-techniques-for-spam-detection/)
- [POSTER](https://scholariq.org/papers/poster-2/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.