Phishing Analysis research

177 papers · Investigation type

Phishing analysis examines deceptive messages, websites and supporting infrastructure to understand how an attempt works and how related activity might be recognised. Research can help investigators assess indicators and detection methods, while keeping the evidence behind a finding separate from a model’s prediction.

Scope of this collection

This bibliography contains papers assigned to ALEX’s Phishing Analysis investigation type. That assignment describes an investigative application; it is separate from the research category. Papers may therefore approach phishing through fraud research, machine learning, threat intelligence or other subjects represented in the accepted library.

Using this research

Use these references to investigate message and URL characteristics, compare detection approaches and find studies relevant to campaign analysis. Check the original study’s dataset, evaluation period and error rates: results from one dataset or period may not transfer to another investigation. These papers are research references, rather than a live feed of phishing indicators.

References reproduce the metadata held by ALEX. Missing author, year or source details are identified in the listing. Publication years are shown as recorded; collection and retrieval dates are not substituted. Follow the original source to verify a citation.

Bibliography

Showing 1–50 of 177 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

A Comprehensive Cybersecurity Analysis of Phishing Detection Using Machine Learning and Deep Learning Approaches
Akthar Shaheda Blessington Naveen Palaparthi (2026) · Zenodo (CERN European Organization for Nuclear Research)
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A data centric and interpretable PCA based framework for phishing email detection
Adetoye A. Adeyemo; Oladayo G. Atanda; Adedoyin I. Oyebade; Busolami E. Oluwadamilare; Olugbemiga S. Popoola; Olufemi M. Oyelami; Oluwaseyi S. Erinfolami (2026) · Journal of Electrical Systems and Information Technology
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A DistilBERT-Based Email Phishing Detection System with SDN-Orchestrated Enforcement
Awos Ali; Ibrahim Ahmed; Siddeeq Ameen (2026) · Journal of Applied Science and Technology Trends
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A Framework for Real-Time Phishing Resource Locator Detection Using Structural and Lexical Feature Analysis Based on Machine Learning
Prashant Srivastava; Akhilesh Singh; Amit Virmani; Himanshu Shukla; Ravi Kant Mishra; Ritesh Agarwal; Anand Kumar Mishra (2026) · International Journal of Science and Engineering Science Research
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A hybrid machine learning and deep learning system for phishing email detection in webmail platforms
Elda Xhumari; Rivalda Bedini (2026) · Innovations in Publishing, Printing and Multimedia Technologies
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A Lightweight Agentic AI Framework with DeepSeek-R1 for Adaptive Phishing URL Detection
Akshat Gaurav; Varsha Arya; Amiya Nayak; Kwok Tai Chui; Brij B. Gupta (2026) · Proceedings of the AAAI Symposium Series
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A Review of Feature Optimization and Explainable AI for Phishing URL Detection
Parth Arvindbhai Mehta; Sheshang Degadwala (2026) · International Journal of Scientific Research in Artificial Intelligence and Machine Learning
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A Robust Machine Learning Framework for Phishing Attack Detection Using RF, DT, and XGBoost
Bindu Madhavi.N; R.G. Kumar (2026) · Research Digest on Engineering Management and Social Innovations
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A Study of Axis Bank Impact of Cyber Fraud on Banks and Customers
Gokul M; Dr. D. Yamuna (2026) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
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Adaptive Phishing Simulation and Longitudinal Employee Security Behavior: Evidence from a Global Enterprise
Cheng-Wen, Ming-Yung Lee, Chen (2026) · Journal of Risk & Control
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Adversarial attacks on phishing webpage detectors via heuristic search techniques
Giuseppe Lo Re; Marco Morana; Giuseppe Rizzo (2026) · Journal of Information Security and Applications
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Ai in Cyber Security
GAUTAM MALVIYA (2026) · Zenodo (CERN European Organization for Nuclear Research)
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AI vs. Cybercrime: Revolutionising Phishing Detection Through Machine Learning
Mrs. Nilam Hardik Goradiya, CS Khushboo Lalit Shah; Dr. Saquib Ahmad Khan, Adv. Hardik Goradiya (2026) · International Journal of Advanced Research in Science Communication and Technology
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AI-Based Multimodal Phishing Detection Using Large Language Models
Om Nalawade (2026) · Zenodo (CERN European Organization for Nuclear Research)
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AI-Based Phishing Attack Detection Using Natural Language Processing (NLP)
Suraj Kalbhor; sakshi Kadam (2026) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
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AI-Based Phishing Detection System
Shaik Dharvesh Abbas (2026) · International Journal for Research in Applied Science and Engineering Technology
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AI-Driven Phishing Detection Using Natural Language Processing and Machine Learning
Sarveena S; Dhanusiya R; Raja A (2026) · International Journal of Innovative Research in Engineering
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AI-Generated Phishing Attacks: Emerging Threats and Detection Strategies for Security Operations Centers
Bahzad Khalid (2026) · Journal of Cybersecurity Education, Research and Practice
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AI-Powered Detection of Fraudulent Web Platforms Using Behavioral and Structural Analysis
Thiagesh A; Tharanitharan GTB; Tinavictoria.a.it@sathyabama.ac.in (2026) · International Research Journal on Advanced Engineering Hub (IRJAEH)
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AI-Powered Phishing Attack Real Time For User Proctection
Hardik Chavan (2026) · Zenodo (CERN European Organization for Nuclear Research)
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AI-POWERED PHISHING DETECTION : AN INTELLIGENTWEB-BASED THREAT ANALYSIS SYSTEM
Ms.D.Anusha; J. Sathish Reddy; P. Joshna; Sriram Mayuri (2026) · International Journal of Engineering Technology and Management Sciences
Collection: ALEX regular weekly discovery review queue
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AI-Powered Phishing in the Era of Generative AI: Emerging Risks, Business Impact, and Organizational Defense Strategies
Dr S R Sundaravalli G Kokila Selva Kumari (2026) · Zenodo (CERN European Organization for Nuclear Research)
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ALGORITHM BASED DETECTION OF MALICIOUS URLS FOR ENHANCED CYBERSECURITY
Mr. Yellaiah Ponnam; Dr Veerabhadra Babu; Mr. Sai Kumar M (2026) · International Journal of Data Science and IoT Management System
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An Adaptive Phishing Detection System Based on Heuristic Algorithms, NLP Analysis, and Canopy-Optimized Feature Selection
Author metadata incomplete (2026) · International Journal of Drug Delivery Technology
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An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory
Ahmed Omar Salim Adnan; Yogananda Manjunath; Shivanjali Khare (2026) · arXiv (Cornell University)
Collection: ALEX regular weekly discovery review queue
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An Explainable Ensemble Machine Learning Framework for Phishing Website Detection with Robustness and Deployment Readiness Evaluation
Hema MS Hema MS; Ande Amshutha Ande Amshutha; Arikitemula Pavani Ande Amshutha; R. Anaghskanda Bharadwaj R. Anaghskanda Bharadwaj (2026) · International Journal of Creative and Open Research in Engineering and Management
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An Explainable Hybrid CNN-BiLSTM with Attention for Phishing Email Detection
Bakr Th. Hammoudi; Omar Z. Akif (2026) · Journal of Applied Science and Technology Trends
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An Explainable Multi-Modal Phishing Detection Framework
Wong Ki Hurn, Tan Yi Yan, Dickson Lim Zi Yuan; Li Qian, Tee Jim Host, Zhang Xiaolong; Yip Hong Seng, Siva Raja Sindiramutty (2026) · International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence
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An Improved Machine Learning-Based Model for Phishing Website and URL Detection
Warveen M. Eido; Omar S. Kareem (2026) · Dasinya Journal for Engineering and Informatics
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An Integrated Framework for Phishing Threat Mitigation via Simulation-Driven Analysis, Email Header Forensics, and URL Intelligence
Sabitha Banu (2026) · Journal of Computing and Data Technology
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An Intelligent Web-Based System for Detecting Smishing Message Using Hybrid Machine Learning Technique
Muzammil Sunusi Umar; Sandeep Kumar; Muhammad Ibrahim Isah; Bello Bello Musa; Usman Ibrahim Usman; Abdurrazaq Jibril Baba (2026) · International Journal of Innovative Science and Research Technology
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An Optimized Hybrid Machine Learning and Deep Learning Framework for Phishing Detection
Prof. Usha K; Gowri Kannakatti; Chithra R; Boodalu Priya; Bhumika R; Gangamma (2026) · International Journal of Latest Technology in Engineering Management & Applied Science
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An Uncertainty-aware Hybrid Learning Framework for Phishing Detection in Email and Web Communications
Ahmed S. Nori; Zaid J. Al-Araji; Shatha A. Baker; Nadia M. Mohammed; Balqees Talal Hasan; Abdulmajeed Sulaiman (2026) · International Journal of Intelligent Engineering and Systems
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Anti-scam Application for Multi-level Marketing and ConferencingUsing Artificial Intelligence
Le Trung Thuc; Nguyen Anh Quan; Hoang Manh Cuong; Ngo Thuy Giang; Nguyen Huu Phuong (2026) · Tạp chí Khoa học và Công nghệ Trường Đại học Công nghệ Đông Á
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Artificial Intelligence-Driven Approaches for Phishing Detection and Cyber Threat Analysis: a Comprehensive Review
Ujjval Rana (2026) · i-manager's Journal on Artificial Intelligence & Machine Learning
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Automated Fraud and Phishing Detection Through Natural Language Processing: A Deep Contextual Approach to Combating Generative Threats
Ms. Meenu Verma (2026) · International Journal for Research in Applied Science and Engineering Technology
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Awareness of Cyber Frauds Among Youth in India: A Review Based Study
Ritesh Matiyara (2026) · International Journal for Research in Applied Science and Engineering Technology
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Bayesian Modeling of Uncertainty in Anti-Phishing Training: A Serious Game for Adversarial Email Crafting
Dimitrios Lappas; Diogo Alexandre Silva; Aristeidis Angelos Zoumpakis; Panagiotis Karampelas (2026) · European Conference on Cyber Warfare and Security
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Behavioral influences on cybersecurity decisions in phishing scenarios: a systematic review
Santhosh Kareepadath Rajan; Japjot Singh; Aswin Rajeev; Richa Abraham; Jasmine Joseph; Sreeja Cherillath Sukumaran (2026) · Information & Computer Security
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Calibrated Probabilistic Predictions for Phishing Email Detection Using Sentence-BERT with Machine Learning Models
Oluwasegun Abiodun Abioye; Abraham Evwiekpaefe; Philip Odion (2026) · Journal of Informatics and Web Engineering
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Citizen-Facing Cybercrime Detection and Early Warning Systems: A Systematic Literature Review
Aakanksha Rathore; Sonal Yadav; Atul Agrawal (2026) · International Journal of Creative and Open Research in Engineering and Management
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Confident yet Concerned: Inconsistencies in Computing Students’ Attitudes on Cybersecurity
Victor Adama; Robert Biddle; Nalin Arachchilage; Danielle Lottridge (2026) · Springer Science and Business Media LLC
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Criminal Liability for the Misuse of Deepfakes and Artificial Intelligence (AI) in Cyber Fraud Offenses
Melita Nur Rizqia Nisa; Edi Saputra Hasibuan; Diana Fitriana (2026) · Siber Nusantara of Law and Politic Review
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Cross-Browser Real-Time Phishing Website Detection Framework Using Behavioral Analysis and Machine Learning
Abinaya s; Gokulnath k; Irfan Mohamed; Manikandan M; Raja A (2026) · Indian Journal of Computer Science and Technology
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CSqL-m-H2LA-GRBiTM: categorical square loss-based multi-head hierarchical location attention enabled deep learning mechanism for smishing detection
Mohd Shoaib (2026) · Scientific Reports
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Cyber Attack Analysis and Awareness System using Python, Flask, React.js, Scikit-learn, Wireshark/Scapy, PostgreSQL, MongoDB, and Redis
Mahmoud Rajabbek (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Cyber Crime Against Individuals: Legal Remedies under Indian Law
Mudit Vikaram Singh (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Cyber Fraud and Digital Financial Crimes in India: Emerging Criminal-Law Challenges
Md. Tahir Hasan; Asra Fathima Syed (2026) · International Journal of Law Management & Humanities
Collection: ALEX regular weekly discovery review queue
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Cyber Security : Threats for Students
Shivangi Sharma (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Cyber-Enabled Fraud and the Criminal Justice Gap: Evidence from Finland
Jyri Paasonen (2026) · European Journal of Crime, Criminal Law and Criminal Justice
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Explore another perspective

These collections offer a different way into the library; their bibliographies need not contain the same papers.

Cybercrime & Fraud · Research category
Cyber Threat Intelligence · Research category