The choice of complete anonymity versus pseudonymity for aggression online. - Michail Tsikerdekis (e Minds Int. J. Hum. Comput. Interact., 2012)

Dynamic Voting Interface in Social Media: Does it Affect Individual Votes? - Michail Tsikerdekis (SOFSEM, 2013)

The effects of perceived anonymity and anonymity states on conformity and groupthink in online communities: A Wikipedia study. - Michail Tsikerdekis (J. Assoc. Inf. Sci. Technol., 2013)

Online deception in social media. - Michail Tsikerdekis; Sherali Zeadally (Commun. ACM, 2014)

Multiple Account Identity Deception Detection in Social Media Using Nonverbal Behavior. - Michail Tsikerdekis; Sherali Zeadally (IEEE Trans. Inf. Forensics Secur., 2014)

Detecting and Preventing Online Identity Deception in Social Networking Services. - Michail Tsikerdekis; Sherali Zeadally (IEEE Internet Comput., 2015)

Personal communication networks and their positive effects on online collaboration and outcome quality on Wikipedia. - Michail Tsikerdekis (J. Assoc. Inf. Sci. Technol., 2016)

Designing a Successful Collaborative Wiki: The Choice between Outcome Quality and Online Community Needs. - Michail Tsikerdekis (Int. J. Technol. Hum. Interact., 2017)

Cumulative Experience and Recent Behavior and their Relation to Content Quality on Wikipedia. - Michail Tsikerdekis (Interact. Comput., 2017)

Political engagement and ICTs: Internet use in marginalized communities. - David Nemer; Michail Tsikerdekis (J. Assoc. Inf. Sci. Technol., 2017)

Identity Deception Prevention Using Common Contribution Network Data. - Michail Tsikerdekis (IEEE Trans. Inf. Forensics Secur., 2017)

Approaches for Preventing Honeypot Detection and Compromise. - Michail Tsikerdekis; Sherali Zeadally; Amy Schlesener; Nicolas Sklavos 001 (GIIS, 2018)

Selective Equation Constructor: A Scalable Genetic Algorithm. - Lauren Heller; Michail Tsikerdekis (INISTA, 2018)

Persistent code contribution: a ranking algorithm for code contribution in crowdsourced software. - Michail Tsikerdekis (Empir. Softw. Eng., 2018)

Real-Time Identity-Deception Detection Techniques for Social Media: Optimizations and Challenges. - Michail Tsikerdekis (IEEE Internet Comput., 2018)

How Automated Feedback is Delivered Matters: Formative Feedback and Knowledge Transfer. - Qiang Hao; Michail Tsikerdekis (FIE, 2019)

A taxonomy of features for preventing identity deception in online communities and their estimated efficacy. - Michail Tsikerdekis; Taylor Morse; Cari Dean; Jason Ruffin (J. Inf. Secur. Appl., 2019)

A Systematic Investigation of Replications in Computing Education Research. - Qiang Hao; David H. Smith IV; Naitra Iriumi; Michail Tsikerdekis; Amy J. Ko (ACM Trans. Comput. Educ., 2019)

Efficient Deep Learning Bot Detection in Games Using Time Windows and Long Short-Term Memory (LSTM). - Michail Tsikerdekis; Sean Barret; Raleigh Hansen; Matthew Klein; Josh Orritt; Jason Whitmore (IEEE Access, 2020)

Vulnerabilities to Online Social Network Identity Deception Detection Research and Recommendations for Mitigation. - Max Ismailov; Michail Tsikerdekis; Sherali Zeadally (Future Internet, 2020)

Securing Internet of Things (IoT) with machine learning. - Sherali Zeadally; Michail Tsikerdekis (Int. J. Commun. Syst., 2020)

Detecting Online Content Deception. - Michail Tsikerdekis; Sherali Zeadally (IT Prof., 2020)

Network Anomaly Detection Using Exponential Random Graph Models and Autoregressive Moving Average. - Michail Tsikerdekis; Scott Waldron; Alex Emanuelson (IEEE Access, 2021)

Approaches for Fake Content Detection: Strengths and Weaknesses to Adversarial Attacks. - Matthew Carter; Michail Tsikerdekis; Sherali Zeadally (IEEE Internet Comput., 2021)

Marine Network Protocols and Security Risks. - Ky Tran; Sid Keene; Erik Fretheim; Michail Tsikerdekis (J. Cybersecur. Priv., 2021)

Misinformation Detection Using Deep Learning. - Michail Tsikerdekis; Sherali Zeadally (IT Prof., 2023)

Hourly Network Anomaly Detection on HTTP Using Exponential Random Graph Models and Autoregressive Moving Average. - Richard Li; Michail Tsikerdekis (J. Cybersecur. Priv., 2023)

Defenses Against Artificial Intelligence Attacks. - Michail Tsikerdekis; Sherali Zeadally; Iyad A. Katib (Computer, 2024)