Phishing Analysis research — Page 2

177 papers · Investigation type

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Continuation of the Phishing Analysis collection. See the first page for its scope and research guidance.

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Bibliography

Showing 51–100 of 177 papers, ordered by publication year (newest first), then title.

Age markers as of 2026-11-06.

51. CYBERGENIE: AI-POWERED PHISHING DETECTION SYSTEM

    Dr Ashish Jirapure; Harish Tandale; Manswi Yelekar; Payal Ambule; Mohini Khapekar (2026) · Zenodo (CERN European Organization for Nuclear Research)

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52. CyberHull: Deterministic Malicious URL Isolation via Convex Hull

    Avijit Gayen; Aniket Ghosal; Durba Chakraborty; Sayan Mondal; Md Abdul Aziz Al Aman; Angshuman Jana (2026) · arXiv (Cornell University)

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53. Cybersecurity Analysis: Explainable Machine Learning for Phishing URL Detection

    Aishwarya Sawant; Nikil Pillai; Kamaljeet Sanghera (2026) · George Mason University

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54. Cybersecurity and Artificial Intelligence: Attackers and Defenders Using the Same Tools, Measured Gains on Both Sides, and a New Surface to Defend

    P. Ghorbani (2026) · Zenodo (CERN European Organization for Nuclear Research)

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55. Cybersecurity Awareness and Community Response to Phishing Threats: An Indonesian Social Behavior Analysis

    Fadhil Rozi Hendrawan; Arif Rahman Hakim; Dewi Marini Umi Atmaja; Zaidan Mufaddhal (2026) · SMATIKA JURNAL

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56. Cybersecurity in context: Perceptions, behaviors, and lived experiences in Saudi Arabia

    Suaad Alarifi; Elham Al Qahtani (2026) · Journal of Economic Criminology

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57. Cybersecurity Risks in Online Shopping: Challenges, Solutions, and Future Directions

    Ms. P. D. Toraskar (2026) · International Journal for Research in Applied Science and Engineering Technology

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58. CyberText Shield: AI-Powered Protection for Secure and Scam-Free Messages

    Sanjay P; Aditya P. Kashyap; Deekshith S; Gnana Sagar A M; Punit Uday Hambar (2026) · Springer Link (Chiba Institute of Technology)

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59. DEEP LEARNING-BASED PHISHING DETECTION FOR CYBER THREAT INTELLIGENCE: DEVELOPMENT AND EVALUATION OF THE PHISHING GUARD SYSTEM

    Lavanya Srinivasan; Vishwajeet Redhu (2026) · Journal of Advance Research in Computer Science & Engineering (ISSN 2456-3552)

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60. Deep Learning-Based Phishing URL Detection Using Deep Neural Network and Convolutional Neural Networks

    Ahmed Bahurmuz (2026) · Journal of Cyber Law

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61. Deep Neural Network (Deep-NN) technique for detecting web phishing in transactional system

    Vivian Onyinyechi Anthony; Ayobami Gabriel Ayeni (2026) · Advanced Journal of Economic Data Analytics

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62. Deepfake Technology in Social Engineering: Threats, Detection and Defence Strategies

    Tanaka Makamure; Daniel Ogwok (2026) · European Conference on Cyber Warfare and Security

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63. Design and Development of Anti-Phishing AG: A Web-Based 3D Serious Game to Improve Phishing Awareness Among Students in Saudi Arabia

    Shahad Alzahrani; Sahar Badri; Farrukh Nadeem (2026) · Engineering, Technology & Applied Science Research

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64. Detecting Phishing Websites Using Machine Learning

    Okoro Obinna (2026) · Iconic Research and Engineering Journals

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65. Detection and Classification of Email Phishing using CNN-BiLSTM Model

    Aminu Kabir; Olufunmi Atoyebi Temitope; Prema Kirubakaran; Joshua Abah; Abubakar Mukhtar Ammani (2026) · FUDMA Journal of Sciences

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66. Detection of E-Banking Phishing Websites Using Associative Classification: A Review of Machine Learning, Feature Engineering, and Explainable Detection

    Prof. Parag B. Patil, Dr. Sushma Zade; Gaurav Prabhakar Kalwaghe, Pratiksha Sanjay Jonwal; Khushi Devi Anand, Himanshu Krushnarao Deshmukh (2026) · International Journal of Advanced Research in Science Communication and Technology

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67. Digital Arrest Scams and Cybercrime Awareness in India: A Constitutional and Technological Perspective

    Sourab Kumar; Prajwal B.k; S. M. Yasir Arafat; Yashas .S; Dr. D.Sujitha (2026) · Zenodo (CERN European Organization for Nuclear Research)

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68. Digital Forensics and Phishing Defense: A Literature Review and Gap Analysis

    Indah Octaviani Laleb; John Le; Chau Nguyen (2026) · Journal of Cybersecurity and Privacy

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69. Digital Frauds The Rise of AI-Enabled Banking Frauds in India

    Bhatt Ishita Rajeshbhai (2026) · Zenodo (CERN European Organization for Nuclear Research)

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70. Digital Threat Detection Across Communication Channels: NLP Methods, Behavioural Signals and Cross-Domain Evidence from Cybersecurity and Digital Inequality Research

    Laperza Alvez; Ulsaie Ruitese; Alepera Rasaed (2026) · Figshare

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71. Economic Implications of Cyber Crime as a Predominant Financial Crime in Nigeria

    Ogwu James Onoja (2026) · Journal of Law and Intellectual Property Rights (JLIPR)

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72. EFFECT OF CYBERSECURITY AWARENESS TRAINING ON PHISHING ATTACK SUSCEPTABILITY AMONG EMPLOYEES IN BENUE STATE, NIGERIA

    Adamu Garba; Samera Uga Otor (2026) · Turkish Journal of Computer and Mathematics Education (TURCOMAT)

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73. Effectiveness of takedown actions against phishing campaigns: The role of OSINT in incident qualification, report routing and escalation

    Mariusz Łazarski (2026) · Humanities & Social Sciences Reviews

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74. Enhanced E-Banking Security System for Phishing Detection Using Machine Learning and Privacy Preservation

    Orokor Favour Wenebunwo (2026) · International Journal of Computer Science and Mathematical Theory

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75. Enhancing Cybersecurity Awareness Through Gamification; Phishing: Moving Beyond Technicalities to the Human Factors

    Iuri Vintonyak (2026) · Libra

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76. Enhancing Cybersecurity Through AI: A Transparent, High-Performance System for Detecting and Preventing Phishing-Based Intrusions

    Abd Alkareem Mostafa Jejawi; Dr. Sira Astour (2026)

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77. Enhancing Protection Against Social Engineering Attacks in the Nigerian Financial Sector Using SOAR‑Driven Automated Incident Response

    Nonye Peter Awurum (2026) · Zenodo (CERN European Organization for Nuclear Research)

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78. ENHANCING THE DETECTION OF PHISHING WEBSITE USING SUPPORT VECTOR MACHINE AND SIMULATED USER BEHAVIOUR IN MATLAB ENVIRONMENT

    GILBERT UGWUANYI (2026) · African Computer Engineering

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79. ERGA-Phish: Optimized Ensemble Learning Framework with Ridge Regression and Genetic Algorithm for Improved Phishing URL Detection

    Chris Chinaka; Obi Nwokonkwo; Adetokunbo John-Otumu; Udoka Eze (2026) · Machine Learning Research

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80. EVALUATING AI-BASED TECHNIQUES FOR MALICIOUS DOMAIN DETECTION USING OPEN-SOURCE CYBERSECURITY DATASETS

    Bilal Ur Rehman; Anu Priya Jaishankar (2026) · International Journal of Engineering Research and Science & Technology

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81. EVALUATING THE EFFECTIVENESS OF CYBERSECURITY FRAMEWORKS IN MITIGATING PHISHING THREATS IN DIGITAL MICROFINANCE INSTITUTIONS

    Richard Mathenge (2026) · Zenodo (CERN European Organization for Nuclear Research)

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82. Exploring the perceived awareness–behaviour gap in AI-enabled phishing: a socio-technical perspective informed by complex adaptive systems

    Ahmed Abdallah Abaker; Ibrahim R. Alzahrani; Noha Abdulkhaliq M. Alharbi (2026) · Computers & Security

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83. FRAUD NOTIFICATION DETECTOR TECHNOLOGY ON NEURAL NETWORK MODEL

    Larisa Cherckesova; Olga Safaryan; Olga Buryakova; Dmitriy Medvedev (2026) · Veredas do Direito

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84. GuardPhish: Securing Open-Source LLMs from Phishing Abuse

    Rina Mishra; Gaurav Varshney; Doddipatla Sesha Sahithi (2026) · arXiv (Cornell University)

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85. Gullibility, loneliness, exploitation or just bad luck? Exploring older adults’ perceptions of fraud risks, protections and victimhood

    Elisabeth Carter; Vasileios Karagiannopoulos; Annie Kirby; Mark Button (2026) · Security Journal

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86. Harnessing Hybrid-AI for Real-Time Phishing Detection

    Justin Villa (2026) · Scholarly Commons (Embry–Riddle Aeronautical University)

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87. How Can Mechanics Stimulate Behaviour, Motivation, And Engagement Levels in Learning and Training Applications?

    Phillip Benachour; Carina Chang (2026) · European Conference on Games Based Learning

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88. Hybrid AI-Based Phishing Detection Framework for Secure Healthcare Communication Systems

    Suyog Vilas Patil; Vijay P. Singh (2026) · International Journal of Drug Delivery Technology

    Collection: ALEX regular weekly discovery review queue

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89. Hybrid CNN-LSTM model for phishing email detection

    Ngaira Mandela; Gideon Mwendwa; Felix Etyang (2026) · Journal of Electrical Systems and Information Technology

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90. Hybrid feature selection with SHAP-based explainable AI for interpretable phishing website detection

    Norah Alsuqayh; Areej Alhogail; Abdulrahman Mirza (2026) · Journal of King Saud University Computer and Information Sciences

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91. Impact of Cybersecurity Awareness on user Behaviour in Digital Banking: A Study on Risk Perception, Preparedness and Financial Implications

    Dr. Yesubabu Konga; Adapa Shirisha (2026) · International Journal of Creative and Open Research in Engineering and Management

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92. Intelligent Browser-Extension For Real-Time Phishing Detection Using Hybrid Machine Learning Models

    Aishwarya S. Sanap; Vidya B. Kale; Archana S. Kolhe; Prof.(Dr.)N.R.Wankhade; Prof S.R.Agrawal (2026) · International Research Journal on Advanced Engineering and Management (IRJAEM)

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93. Leadership Activities Aimed at Ensuring Cybersecurity in a General Education School / Vadovų veikla užtikrinant kibernetinį saugumą bendrojo ugdymo mokykoje

    Rasa Skališienė; Šarūnė Kazlauskė; Ilona Klanienė; Kęstutis Mockus (2026) · Regional Formation and Development Studies

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94. Level of Awareness and Susceptibility to Phishing Attacks Among Students of Quezon City University: A Stratified Survey Study

    Iverson John S. Ventura; Lance Luis P. Ballesteros; Justin T. Reyes; Roland Allan Gabriele L. Villareal; Ramer Lazan; Harold R. Lucero (2026) · International Journal of Latest Technology in Engineering Management & Applied Science

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95. Low-latency Malicious URL Detection based on Lexical and Statistical Features

    Siyu Huang (2026) · Frontiers in Computing and Intelligent Systems

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96. Machine learning approaches for phishing detection and cybersecurity awareness in digital infrastructure

    Parves Alam; Md Azizul Rahaman; Jubayer Uddin Shamim; Shakhawat Hossain Refat; Wali Ahmed; Pappu Roy; Shaon Reza; Samuel Kim (2026) · Frontiers in Artificial Intelligence

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97. Machine learning-based malicious URL detection using feature selection techniques and WHOIS features

    Lokesh Khedekar; Suvarna Pawar (2026) · Frontiers in Computer Science

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98. Multi-Modal Phishing Website Detection with Real-Time Rendering Signals and TLS Fingerprints

    Emily K. Dawson; Sophie L. Cartwright; James R. Whitfield (2026) · Springer Science and Business Media LLC

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99. Navigating the Legal Gaps: Phishing, Vishing, and the Emerging Landscape of Online Fraud in Kazakhstan

    N.S. Temirbolat; S.Sh. Urkumbay; R.A. Alshurazova (2026) · BULLETIN of L.N. Gumilyov Eurasian National University Law Series

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100. NetShield: A Machine Learning Based Phishing Website Detection System Using Random Forest

     Arham Shah; Feni Shah; Ansh Shah; Purna Tanna (2026) · Zenodo (CERN European Organization for Nuclear Research)

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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