Veelasha Moonsamy
Veelasha Moonsamy
Professor at Ruhr University Bochum, Germany
Verified email at - Homepage
Cited by
Cited by
Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices
R Spreitzer, V Moonsamy, T Korak, S Mangard
IEEE Communications Surveys & Tutorials, 2017
MineSweeper: An In-depth Look into Drive-by Cryptocurrency Mining and Its Defense
RK Konoth, E Vineti, V Moonsamy, M Lindorfer, C Kruegel, H Bos, ...
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
Mining permission patterns for contrasting clean and malicious android applications
V Moonsamy, J Rong, S Liu
Future Generation Computer Systems 36, 122-132, 2014
Analysis of malicious and benign android applications
M Alazab, V Moonsamy, L Batten, P Lantz, R Tian
2012 32nd International Conference on Distributed Computing Systems …, 2012
No free charge theorem: A covert channel via usb charging cable on mobile devices
R Spolaor, L Abudahi, V Moonsamy, M Conti, R Poovendran
Applied Cryptography and Network Security: 15th International Conference …, 2017
New directions in IoT privacy using attribute-based authentication
G Alpár, L Batina, L Batten, V Moonsamy, A Krasnova, A Guellier, ...
Proceedings of the ACM International Conference on Computing Frontiers, 461-466, 2016
Less is More: A privacy-respecting Android malware classifier using federated learning
R Gálvez, V Moonsamy, C Diaz
Proceedings on Privacy Enhancing Technologies 4, 96-116, 2021
Towards an understanding of the impact of advertising on data leaks
V Moonsamy, M Alazab, L Batten
International journal of security and networks 7 (3), 181-193, 2012
IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing
P Staat, S Mulzer, S Roth, V Moonsamy, M Heinrichs, R Kronberger, ...
IEEE Symposium on Security and Privacy (S&P), 2022
Feature reduction to speed up malware classification
V Moonsamy, R Tian, L Batten
Nordic Conference on Secure IT Systems, 176-188, 2011
Evadedroid: A practical evasion attack on machine learning for black-box android malware detection
H Bostani, V Moonsamy
Computers & Security 139, 103676, 2024
Malicious cryptocurrency miners: Status and Outlook
RK Konoth, R van Wegberg, V Moonsamy, H Bos
arXiv preprint arXiv:1901.10794, 2019
Smartphone applications, malware and data theft
LM Batten, V Moonsamy, M Alazab
Computational Intelligence, Cyber Security and Computational Models …, 2016
Mitigating man-in-the-middle attacks on smartphones–a discussion of SSL pinning and DNSSec
V Moonsamy, L Batten
Efficient classification of android malware in the wild using robust static features
H Fereidooni, V Moonsamy, M Conti, L Batina
Protecting mobile networks and devices: challenges and solutions 1, 181-209, 2016
Contrasting permission patterns between clean and malicious android applications
V Moonsamy, J Rong, S Liu, G Li, L Batten
International Conference on Security and Privacy in Communication Systems, 69-85, 2013
An analysis of tracking settings in Blackberry 10 and Windows Phone 8 Smartphones
Y Rahulamathavan, V Moonsamy, L Batten, S Shunliang, M Rajarajan
Information Security and Privacy: 19th Australasian Conference, ACISP 2014 …, 2014
A comparison of the classification of disparate malware collected in different time periods
R Islam, R Tian, V Moonsamy, L Batten
Journal of networks 7 (6), 946, 2012
Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code
C Meijer, V Moonsamy, J Wetzels
30th USENIX Security Symposium (USENIX Security 21), 2021
Gamut: Sifting through Images to Detect Android Malware
J Gennissen, L Cavallaro, V Moonsamy, L Batina
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