| HPCMalHunter: Behavioral malware detection using hardware performance counters and singular value decomposition MB Bahador, M Abadi, A Tajoddin 2014 4th International Conference on Computer and Knowledge Engineering …, 2014 | 106 | 2014 |
| PPTD: Preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression E Ghasemi Komishani, M Abadi, F Deldar Knowledge-Based Systems 94, 43–59, 2016 | 102 | 2016 |
| DFBotKiller: Domain-flux botnet detection based on the history of group activities and failures in DNS traffic R Sharifnya, M Abadi Digital Investigation 12, 15–26, 2015 | 98 | 2015 |
| A PCA-based distributed approach for intrusion detection in wireless sensor networks M Ahmadi Livani, M Abadi 2011 International Symposium on Computer Networks and Distributed Systems …, 2011 | 86* | 2011 |
| A hybrid model for correlating alerts of known and unknown attack scenarios and updating attack graphs SH Ahmadinejad, S Jalili, M Abadi Computer Networks 55 (9), 2221–2240, 2011 | 78 | 2011 |
| A PSO-based weighting method for linear combination of neural networks SH Nabavi-Kerizi, M Abadi, E Kabir Computers & Electrical Engineering 36 (5), 886–894, 2010 | 70 | 2010 |
| A novel reputation system to detect DGA-based botnets R Sharifnya, M Abadi 2013 3th International Conference on Computer and Knowledge Engineering …, 2013 | 56 | 2013 |
| SocialBotHunter: Botnet detection in Twitter-like social networking services using semi-supervised collective classification A Dorri, M Abadi, M Dadfarnia 2018 IEEE 16th International Conference on Dependable, Autonomic and Secure …, 2018 | 51 | 2018 |
| Distributed PCA-based anomaly detection in wireless sensor networks M Ahmadi Livani, M Abadi 2010 International Conference on Internet Technology and Secured …, 2010 | 51* | 2010 |
| Deep learning for zero-day malware detection and classification: A survey F Deldar, M Abadi ACM Computing Surveys 56 (2), 1–37, 2023 | 39 | 2023 |
| RAMD: Registry-based anomaly malware detection using one-class ensemble classifiers A Tajoddin, M Abadi Applied Intelligence 49 (7), 2641–2658, 2019 | 36 | 2019 |
| HLMD: A signature-based approach to hardware-level behavioral malware detection and classification MB Bahador, M Abadi, A Tajoddin The Journal of Supercomputing 75 (8), 5551–5582, 2019 | 33 | 2019 |
| PLDP-TD: Personalized-location differentially private data analysis on trajectory databases F Deldar, M Abadi Pervasive and Mobile Computing 49, 1–22, 2018 | 33 | 2018 |
| JSObfusDetector: A binary PSO-based one-class classifier ensemble to detect obfuscated JavaScript code M Jodavi, M Abadi, E Parhizkar 2015 International Symposium on Artificial Intelligence and Signal …, 2015 | 33 | 2015 |
| An ant colony optimization algorithm for network vulnerability analysis M Abadi, S Jalili Iranian Journal of Electrical and Electronic Engineering 2 (3), 106–120, 2006 | 31 | 2006 |
| BeeOWA: A novel approach based on ABC algorithm and induced OWA operators for constructing one-class classifier ensembles E Parhizkar, M Abadi Neurocomputing 166, 367–381, 2015 | 27 | 2015 |
| A Clustering-Based Approach for Personalized Privacy Preserving Publication of Moving Object Trajectory Data S Mahdavifar, M Abadi, M Kahani, H Mahdikhani Network and System Security 7645, 149–165, 2012 | 27 | 2012 |
| Detecting obfuscated JavaScript malware using sequences of internal function calls A Gorji, M Abadi 2014 ACM Southeast Regional Conference (ACMSE), 1–6, 2014 | 24 | 2014 |
| BeeID: Intrusion detection in AODV-based MANETs using artificial bee colony and negative selection algorithms F Barani, M Abadi The ISC International Journal of Information Security (ISeCure) 4 (1), 25–39, 2012 | 24 | 2012 |
| A dynamic clustering-based approach for anomaly detection in AODV-based MANETs M Alikhany, M Abadi 2011 International Symposium on Computer Networks and Distributed Systems …, 2011 | 24 | 2011 |
Fatemeh DeldarIsfahan University of TechnologyVerified email at iut.ac.ir
