Pick'n'mix comparative tests. - Igor Muttik (Inf. Secur. Tech. Rep., 2001)

Cloud security technologies. - Igor Muttik; Chris Barton (Inf. Secur. Tech. Rep., 2009)

A New Android Malware Detection Approach Using Bayesian Classification. - Suleiman Y. Yerima; Sakir Sezer; Gavin McWilliams; Igor Muttik (AINA, 2013)

Android Malware Detection Using Parallel Machine Learning Classifiers. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (NGMAST, 2014)

High accuracy android malware detection using ensemble learning. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (IET Inf. Secur., 2015)

Towards Automated Android App Collusion Detection. - Irina Mariuca Asavoae; Jorge Blasco; Thomas M. Chen; Harsha Kumara Kalutarage; Igor Muttik; Hoang Nga Nguyen; Markus Roggenbach; Siraj Ahmed Shaikh (IMPS@ESSoS, 2016)

Explaining Unwanted Behaviours in Context. - Wei Chen 023; David Aspinall 001; Andrew D. Gordon 001; Charles Sutton; Igor Muttik (IMPS@ESSoS, 2016)

A text-mining approach to explain unwanted behaviours. - Wei Chen 023; David Aspinall 001; Andrew D. Gordon 001; Charles Sutton; Igor Muttik (EUROSEC, 2016)

On Robust Malware Classifiers by Verifying Unwanted Behaviours. - Wei Chen 023; David Aspinall 001; Andrew D. Gordon 001; Charles Sutton; Igor Muttik (IFM, 2016)

More Semantics More Robust: Improving Android Malware Classifiers. - Wei Chen 023; David Aspinall 001; Andrew D. Gordon 001; Charles Sutton; Igor Muttik (WISEC, 2016)

Android Malware Detection: an Eigenspace Analysis Approach. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (CoRR, 2016)

Detection of app collusion potential using logic programming. - Jorge Blasco; Thomas M. Chen; Igor Muttik; Markus Roggenbach (J. Netw. Comput. Appl., 2018)