Complete research bibliography — Page 60

3,283 papers · Complete accepted corpus

Continuation of the Complete research bibliography collection. See the first page for its scope and research guidance.

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 2951–3000 of 3,283 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

Social Drivers and Algorithmic Mechanisms on Digital Media
Hannah Metzler; David Garcia (2023) · Perspectives on Psychological Science
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
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Supporting High-Stakes Investigations with Expert-Led Crowdsourcing
Venkatagiri (2023)
Research category: OSINT Methodology · Investigation type: Other
Paper details
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The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review
Irshaad Jada; Thembekile O. Mayayise (2023) · Data and Information Management
Research category: AI/ML for Security · Investigation type: Other
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The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review
Maad Mijwil; Israa Ezzat Salem; Marwa M. Ismaeel (2023) · Iraqi Journal for Computer Science and Mathematics
Research category: AI/ML for Security · Investigation type: Other
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The Slippery Slope: Exploring the Parallels Between Game Cheating and Cybercrime Through Routine Activity Theory
Selina Cho; Jonathan Lusthaus; Ivan Flechais (2023) · 2023 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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Values and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspective
Thea Riebe; Julian Bäumler; Marc-André Kaufhold; Christian Reuter (2023) · Computer Supported Cooperative Work (CSCW)
Research category: OSINT Methodology · Investigation type: Incident Response
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“Do Users Fall for Real Adversarial Phishing?” Investigating the Human Response to Evasive Webpages
Ajka Draganovic; Savino Dambra; Javier Aldana Iuit; Kevin Roundy; Giovanni Apruzzese (2023) · 2023 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
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A Feature-driven Method for Automating the Assessment of Cyber Threat Intelligence Sources
Andrea Tundis; Samuel Ruppert; Max Mühlhäuser (2022) · Computers & Security
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
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Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI
Tais Fernanda Blauth; Oskar Josef Gstrein; Andrej Zwitter (2022) · IEEE Access
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
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Building and Testing a Network of Social Trust in an Underground Forum: Robust Connections and Overlapping Criminal Domains
Dalyapraz Manatova; Dewesha Sharma; Sagar Samtani; L. Jean Camp (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Dark Web & Underground · Investigation type: Dark Web Analysis
Collection: APWG.org eCrimes Research · Original collection
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Compete, Collaborate, Investigate: Exploring the Social Structures of Open Source Intelligence Investigations
Belghith et al. (2022)
Research category: OSINT Methodology · Investigation type: Other
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Conceptualizing Cybercrime: Definitions, Typologies and Taxonomies
Kirsty Phillips; Julia C. Davidson; Ruby R. Farr; Christine Burkhardt; Stefano Caneppele; Mary P. Aiken (2022) · Forensic Sciences
Research category: Cybercrime & Fraud · Investigation type: Other
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Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
Ning Zhang; Mohammadreza Ebrahimi; Weifeng Li; Hsinchun Chen (2022) · ACM Transactions on Management Information Systems
Research category: Cyber Threat Intelligence · Investigation type: Dark Web Analysis
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Cryptocurrency Exchange Closure Revisited (Again)
Arghya Mukherjee; Tyler Moore (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution
Yitong Ren; Yanjun Xiao; Yinghai Zhou; Zhiyong Zhang; Zhihong Tian (2022) · IEEE Transactions on Knowledge and Data Engineering
Research category: Cyber Threat Intelligence · Investigation type: Attribution
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Cybersecurity of Industrial Cyber-Physical Systems: A Review
Hakan Kayan; Matthew Nunes; Omer Rana; Pete Burnap; Charith Perera (2022) · ACM Computing Surveys
Research category: IoT & CPS Security · Investigation type: Vulnerability Assessment
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Cybersecurity Risk
Chris Florackis; Christodoulos Louca; Roni Michaely; Michael Weber (2022) · The Review of Financial Studies
Research category: Cyber Threat Intelligence · Investigation type: Vulnerability Assessment
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Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media
Neelakandan S; Sridevi M; Saravanan Chandrasekaran; Murugeswari K; Aditya Kumar Singh Pundir; Sridevi R; T.Bheema Lingaiah (2022) · Computational Intelligence and Neuroscience
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
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Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review
Mujaheed Abdullahi; Yahia Baashar; Hitham Alhussian; Ayed Alwadain; Norshakirah Aziz; Luiz Fernando Capretz; Said Jadid Abdulkadir (2022) · Electronics
Research category: AI/ML for Security · Investigation type: Vulnerability Assessment
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DualCheck: Exploiting Human Verification Tasks for Opportunistic Online Safety Microlearning
Ryo Yoshikawa, Hideya Ochiai, and Koji Yatani (2022) · USENIX Symposium on Usable Privacy and Security (SOUPS) 2022
Research category: Privacy & Surveillance · Investigation type: Other
Collection: SOUPS (Symposium On Usable Privacy and Security) and USENIX (the Advanced Computing Systems Association) · Original collection
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Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang; Hussam Al Hamadi; Ernesto Damiani; Chan Yeob Yeun; Fatma Taher (2022) · IEEE Access
Research category: AI/ML for Security · Investigation type: Other
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Feature-driven Method for Automating the Assessment of Cyber Threat Intelligence Sources
Tundis et al. (2022)
Research category: Cyber Threat Intelligence · Investigation type: Vulnerability Assessment
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Industrial practitioners' mental models of adversarial machine learning
Lukas Bieringer, Kathrin Grosse, Michael Backes, Battista Biggio, Katharina Krombholz (2022) · USENIX Symposium on Usable Privacy and Security (SOUPS) 2022
Research category: AI/ML for Security · Investigation type: Other
Collection: SOUPS (Symposium On Usable Privacy and Security) and USENIX (the Advanced Computing Systems Association) · Original collection
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Investigating How University Students in the United States Encounter and Deal With Misinformation in Private WhatsApp Chats During COVID-19
K. J. Kevin Feng, Kevin Song, Kejing Li, Oishee Chakrabarti, and Marshini Chetty (2022) · USENIX Symposium on Usable Privacy and Security (SOUPS) 2022
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Collection: SOUPS (Symposium On Usable Privacy and Security) and USENIX (the Advanced Computing Systems Association) · Original collection
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Leaky Kits: The Increased Risk of Data Exposure from Phishing Kits
Bhaskar Tejaswi; Nayanamana Samarasinghe; Sajjad Pourali; Mohammad Mannan; Amr Youssef (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
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Let The Right One In: Attestation as a Usable CAPTCHA Alternative
Tara Whalen, Thibault Meunier, and Mrudula Kodali, Alex Davidson, Marwan Fayed and Armando Faz-Hernández, Watson Ladd, Deepak Maram, Nick Sullivan, Benedikt Christoph Wolters, Maxime Guerreiro, and Andrew Galloni (2022) · USENIX Symposium on Usable Privacy and Security (SOUPS) 2022
Research category: Privacy & Surveillance · Investigation type: Other
Collection: SOUPS (Symposium On Usable Privacy and Security) and USENIX (the Advanced Computing Systems Association) · Original collection
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Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-based Deep Structured Semantic Model
Sagar Samtani; Yidong Chai; Hsinchun Chen (2022) · MIS Quarterly
Research category: Cyber Threat Intelligence · Investigation type: Vulnerability Assessment
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Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen; Jinxin Liu; Yu Shen; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Petar Djukic (2022) · ACM Computing Surveys
Research category: IoT & CPS Security · Investigation type: Threat Hunting
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Money Over Morals: A Business Analysis of Conti Ransomware
Ian W. Gray; Jack Cable; Benjamin Brown; Vlad Cuiujuclu; Damon McCoy (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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Ransomware: How attacker’s effort, victim characteristics and context influence ransom requested, payment and financial loss
Tom Meurs; Marianne Junger; Erik Tews; Abhishta Abhishta (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things
Bimal Ghimire; Danda B. Rawat (2022) · IEEE Internet of Things Journal
Research category: AI/ML for Security · Investigation type: Threat Hunting
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Robust Botnet DGA Detection: Blending XAI and OSINT for Cyber Threat Intelligence Sharing
Hatma Suryotrisongko; Yasuo Musashi; Akio Tsuneda; Kenichi Sugitani (2022) · IEEE Access
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
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SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records
Jun Zengy; Xiang Wang; Jiahao Liu; Yinfang Chen; Zhenkai Liang; Tat-Seng Chua; Zheng Leong Chua (2022) · IEEE Symposium on Security and Privacy (S&P)
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
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The Challenges of Blockchain-Based Naming Systems for Malware Defenders
Audrey Randall; Wes Hardaker; Geoffrey M. Voelker; Stefan Savage; Aaron Schulman (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Malware & Exploits · Investigation type: Threat Hunting
Collection: APWG.org eCrimes Research · Original collection
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The Role of Extraversion in Phishing Victimisation: A Systematic Literature Review
Pablo López-Aguilar; Constantinos Patsakis; Agusti Solanas (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
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THREAT/crawl: a Trainable, Highly-Reusable, and Extensible Automated Method and Tool to Crawl Criminal Underground Forums
Michele Campobasso; Luca Allodi (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Dark Web & Underground · Investigation type: Dark Web Analysis
Collection: APWG.org eCrimes Research · Original collection
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“I don’t really give them piece of mind”: User Perceptions of Social Engineering Attacks
Lin Kyi; Elizabeth Stobert (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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“Invest in crypto!”: An analysis of investment scam advertisements found in Bitcointalk
Gilberto Atondo Siu; Alice Hutchings; Marie Vasek; Tyler Moore (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
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A Benchmark study on Machine Learning Methods for Fake News Detection
5+
Author metadata incomplete (2021) · ResearchGate
Research category: Disinformation & Influence · Investigation type: Threat Hunting
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
5+
Ansam Khraisat; Ammar Alazab (2021) · Cybersecurity
Research category: IoT & CPS Security · Investigation type: Threat Hunting
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A dictionary-based method for detecting machine-generated domains
5+
Author metadata incomplete (2021) · DOI landing page
Research category: Cyber Threat Intelligence · Investigation type: Vulnerability Assessment
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities
5+
Author metadata incomplete (2021) · arXiv
Research category: Cyber Threat Intelligence · Investigation type: Social Media Analysis
Paper details
Research context
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A qualitative mapping of Darkweb marketplaces
5+
Dimitrios Georgoulias; Jens Myrup Pedersen; Morten Falch; Emmanouil Vasilomanolakis (2021) · 2021 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Dark Web & Underground · Investigation type: Dark Web Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Artificial Intelligence Security: Threats and Countermeasures
5+
Yupeng Hu; Wenxin Kuang; Zheng Qin; Kenli Li; Jiliang Zhang; Yansong Gao; Wenjia Li; Keqin Li (2021) · ACM Computing Surveys
Research category: AI/ML for Security · Investigation type: Other
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Attack and Anomaly Detection in IoT Networks Using Supervised Machine Learning Approaches
5+
Author metadata incomplete (2021)
Research category: AI/ML for Security · Investigation type: Threat Hunting
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Automating the Detection of Cyberstalking
5+
Author metadata incomplete (2021) · IEEE
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
Paper details
Research context
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Collegiate Social Engineering Capture the Flag Competition
5+
Aunshul Rege; Rachel Bleiman (2021) · 2021 APWG Symposium on Electronic Crime Research (eCrime)
Research category: OSINT Methodology · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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CrowdSolve: Managing Tensions in an Expert-Led Crowdsourced Investigation
5+
Venkatagiri et al. (2021)
Research category: OSINT Methodology · Investigation type: Other
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
Source link not recorded in ALEX.
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CySecAlert: An Alert Generation System for Cyber Security Events Using Open Source Intelligence Data
5+
Author metadata incomplete (2021) · Springer
Research category: OSINT Methodology · Investigation type: Incident Response
Paper details
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey
5+
Jun Zhang; Lei Pan; Qing-Long Han; Chao Chen; Sheng Wen; Yang Xiang (2021) · IEEE/CAA Journal of Automatica Sinica
Research category: AI/ML for Security · Investigation type: Threat Hunting
Paper details
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Complete research bibliography — Page 60

Bibliography

Supporting High-Stakes Investigations with Expert-Led Crowdsourcing

Compete, Collaborate, Investigate: Exploring the Social Structures of Open Source Intelligence Investigations

Feature-driven Method for Automating the Assessment of Cyber Threat Intelligence Sources

CrowdSolve: Managing Tensions in an Expert-Led Crowdsourced Investigation