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Panagiotis Andriotis
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2020 – today
- 2023
- [j11]Panagiotis Andriotis
, Myles Kirby, Atsuhiro Takasu
Bu-Dash: a universal and dynamic graphical password scheme (extended version). Int. J. Inf. Sec. 22(2): 381-401 (2023) - [j10]Andrew McCarthy
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. J. Inf. Secur. Appl. 72: 103398 (2023) - 2022
- [j9]Andrew McCarthy
Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey. J. Cybersecur. Priv. 2(1): 154-190 (2022) - [c21]Panagiotis Andriotis
Bu-Dash: A Universal and Dynamic Graphical Password Scheme. HCI (32) 2022: 209-227 - 2021
- [c20]Andrew McCarthy
Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks. CyberSA 2021: 1-8 - [c19]Jason R. C. Nurse, Francielle Vargas, Naeemul Hassan, Dakuo Wang, Panagiotis Andriotis, Amira Ghenai, Kokil Jaidka, Eni Mustafaraj, Kenneth Joseph, Brooke Foucault Welles:
Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM). ICWSM Workshops 2021 - 2020
- [c18]Panagiotis Andriotis
To Allow, or Deny? That is the Question. HCI (30) 2020: 287-304
2010 – 2019
- 2019
- [j8]Shancang Li
Distributed Consensus Algorithm for Events Detection in Cyber-Physical Systems. IEEE Internet Things J. 6(2): 2299-2308 (2019) - [j7]Lucky Onwuzurike, Enrico Mariconti
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version). ACM Trans. Priv. Secur. 22(2): 14:1-14:34 (2019) - 2018
- [j6]Panagiotis Andriotis
Studying users' adaptation to Android's run-time fine-grained access control system. J. Inf. Secur. Appl. 40: 31-43 (2018) - [c17]Panagiotis Andriotis
Emotional Bots: Content-based Spammer Detection on Social Media. WIFS 2018: 1-8 - 2017
- [c16]Kallia Anastasopoulou, Spyros Kokolakis, Panagiotis Andriotis
Privacy Decision-Making in the Digital Era: A Game Theoretic Review. HCI (22) 2017: 589-603 - [c15]Panagiotis Andriotis
A Comparative Study of Android Users' Privacy Preferences Under the Runtime Permission Model. HCI (22) 2017: 604-622 - [c14]Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon J. Ross, Gianluca Stringhini:
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models. NDSS 2017 - [i2]Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon J. Ross, Gianluca Stringhini:
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version). CoRR abs/1711.07477 (2017) - 2016
- [j5]Panagiotis Andriotis
A study on usability and security features of the Android pattern lock screen. Inf. Comput. Secur. 24(1): 53-72 (2016) - [j4]Shancang Li, Theo Tryfonas
Risk Assessment for Mobile Systems Through a Multilayered Hierarchical Bayesian Network. IEEE Trans. Cybern. 46(8): 1749-1759 (2016) - [j3]Panagiotis Andriotis
Highlighting Relationships of a Smartphone's Social Ecosystem in Potentially Large Investigations. IEEE Trans. Cybern. 46(9): 1974-1985 (2016) - [c13]Theo Tryfonas
Mass Surveillance in Cyberspace and the Lost Art of Keeping a Secret - Policy Lessons for Government After the Snowden Leaks. HCI (20) 2016: 174-185 - [c12]Oluwapelumi Aboluwarin, Panagiotis Andriotis
Optimizing Short Message Text Sentiment Analysis for Mobile Device Forensics. IFIP Int. Conf. Digital Forensics 2016: 69-87 - [c11]Panagiotis Andriotis
Impact of User Data Privacy Management Controls on Mobile Device Investigations. IFIP Int. Conf. Digital Forensics 2016: 89-105 - [c10]Panagiotis Andriotis
Permissions snapshots: Assessing users' adaptation to the Android runtime permission model. WIFS 2016: 1-6 - [i1]Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models. CoRR abs/1612.04433 (2016) - 2015
- [c9]Shancang Li, Junhua Chen, Theodoros Spyridopoulos
Real-Time Monitoring of Privacy Abuses and Intrusion Detection in Android System. HCI (22) 2015: 379-390 - [c8]Huw Read
An Extensible Platform for the Forensic Analysis of Social Media Data. HCI (22) 2015: 404-414 - [c7]Panagiotis Andriotis
Messaging Activity Reconstruction with Sentiment Polarity Identification. HCI (22) 2015: 475-486 - [c6]Panagiotis Andriotis
A Framework for Describing Multimedia Circulation in a Smartphone Ecosystem. IFIP Int. Conf. Digital Forensics 2015: 251-267 - 2014
- [c5]Panagiotis Andriotis
Complexity Metrics and User Strength Perceptions of the Pattern-Lock Graphical Authentication Method. HCI (24) 2014: 115-126 - [c4]Panagiotis Andriotis
Smartphone Message Sentiment Analysis. IFIP Int. Conf. Digital Forensics 2014: 253-265 - [c3]Panagiotis Andriotis
On the Development of Automated Forensic Analysis Methods for Mobile Devices. TRUST 2014: 212-213 - 2013
- [j2]Panagiotis Andriotis
JPEG steganography detection with Benford's Law. Digit. Investig. 9(3-4): 246-257 (2013) - [j1]Panagiotis Andriotis
Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data. Int. J. Digit. Crime Forensics 5(4): 34-54 (2013) - [c2]Panagiotis Andriotis
A pilot study on the security of pattern screen-lock methods and soft side channel attacks. WISEC 2013: 1-6 - 2012
- [c1]Panagiotis Andriotis
Forensic analysis of wireless networking evidence of Android smartphones. WIFS 2012: 109-114
Coauthor Index
aka: Theo Tryfonas
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