Feature Reduction to Speed Up Malware Classification. - Veelasha Moonsamy; Ronghua Tian; Lynn Margaret Batten (NordSec, 2011)

Analysis of Malicious and Benign Android Applications. - Moutaz Alazab; Veelasha Moonsamy; Lynn Margaret Batten; Patrik Lantz; Ronghua Tian (ICDCS Workshops, 2012)

Towards an understanding of the impact of advertising on data leaks. - Veelasha Moonsamy; Moutaz Alazab; Lynn Margaret Batten (Int. J. Secur. Networks, 2012)

A Comparison of the Classification of Disparate Malware Collected in Different Time Periods. - Md. Rafiqul Islam 001; Ronghua Tian; Veelasha Moonsamy; Lynn Margaret Batten (J. Networks, 2012)

Can Smartphone Users Turn Off Tracking Service Settings? - Veelasha Moonsamy; Lynn Margaret Batten; Malcolm Shore (MoMM, 2013)

Contrasting Permission Patterns between Clean and Malicious Android Applications. - Veelasha Moonsamy; Jia Rong; Shaowu Liu; Gang Li 009; Lynn Margaret Batten (SecureComm, 2013)

An Analysis of Tracking Settings in Blackberry 10 and Windows Phone 8 Smartphones. - Yogachandran Rahulamathavan; Veelasha Moonsamy; Lynn Margaret Batten; Su Shunliang; Muttukrishnan Rajarajan (ACISP, 2014)

Android applications: Data leaks via advertising libraries. - Veelasha Moonsamy; Lynn Batten (ISITA, 2014)

Mining permission patterns for contrasting clean and malicious android applications. - Veelasha Moonsamy; Jia Rong; Shaowu Liu (Future Gener. Comput. Syst., 2014)

New directions in IoT privacy using attribute-based authentication. - Gergely Alpár; Lejla Batina; Lynn Margaret Batten; Veelasha Moonsamy; Anna Krasnova; Antoine Guellier; Iynkaran Natgunanathan (Conf. Computing Frontiers, 2016)

SoK: Systematic Classification of Side-Channel Attacks on Mobile Devices. - Raphael Spreitzer; Veelasha Moonsamy; Thomas Korak; Stefan Mangard (CoRR, 2016)

No Free Charge Theorem: A Covert Channel via USB Charging Cable on Mobile Devices. - Riccardo Spolaor; Laila Abudahi; Veelasha Moonsamy; Mauro Conti; Radha Poovendran (ACNS, 2017)

MineSweeper: An In-depth Look into Drive-by Cryptocurrency Mining and Its Defense. - Radhesh Krishnan Konoth; Emanuele Vineti; Veelasha Moonsamy; Martina Lindorfer; Christopher Kruegel; Herbert Bos; Giovanni Vigna (CCS, 2018)

Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices. - Raphael Spreitzer; Veelasha Moonsamy; Thomas Korak; Stefan Mangard (IEEE Commun. Surv. Tutorials, 2018)

Malicious cryptocurrency miners: Status and Outlook. - Radhesh Krishnan Konoth; Rolf van Wegberg; Veelasha Moonsamy; Herbert Bos (CoRR, 2019)

Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code. - Carlo Meijer; Veelasha Moonsamy; Jos Wetzels (USENIX Security Symposium, 2021)

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing. - Paul Staat; Simon Mulzer; Stefan Roth 004; Veelasha Moonsamy; Aydin Sezgin; Christof Paar (CoRR, 2021)

Less is More: A privacy-respecting Android malware classifier using federated learning. - Rafa Gálvez; Veelasha Moonsamy; Claudia Díaz (Proc. Priv. Enhancing Technol., 2021)

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing. - Paul Staat; Simon Mulzer; Stefan Roth 004; Veelasha Moonsamy; Markus Heinrichs; Rainer Kronberger; Aydin Sezgin; Christof Paar (SP, 2022)

Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples. - Hamid Bostani; Zhuoran Liu 001; Zhengyu Zhao 001; Veelasha Moonsamy (CoRR, 2022)

Instructions Unclear: Undefined Behaviour in Cellular Network Specifications. - Daniel Klischies; Moritz Schloegel; Tobias Scharnowski; Mikhail Bogodukhov; David Rupprecht; Veelasha Moonsamy (USENIX Security Symposium, 2023)

TLS â' Post-Quantum TLS: Inspecting the TLS landscape for PQC adoption on Android. - Dimitri Mankowski; Thom Wiggers; Veelasha Moonsamy (IACR Cryptol. ePrint Arch., 2023)

The Rings of Tracking: Evaluating Security and Privacy in the Smart Ring Ecosystem. - Johannes Ludwig; Veelasha Moonsamy; Matteo Große-Kampmann (ACSAC Workshops, 2024)

Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations. - Hamid Bostani; Zhengyu Zhao 001; Veelasha Moonsamy (ESORICS Workshops (2), 2024)

Targeted and Troublesome: Tracking and Advertising on Children's Websites. - Zahra Moti; Asuman Senol; Hamid Bostani; Frederik J. Zuiderveen Borgesius; Veelasha Moonsamy; Arunesh Mathur; Gunes Acar (SP, 2024)

EvadeDroid: A practical evasion attack on machine learning for black-box Android malware detection. - Hamid Bostani; Veelasha Moonsamy (Comput. Secur., 2024)

On the Effectiveness of Adversarial Training on Malware Classifiers. - Hamid Bostani; Jacopo Cortellazzi; Daniel Arp; Fabio Pierazzi; Veelasha Moonsamy; Lorenzo Cavallaro (CoRR, 2024)

"Those things are written by lawyers, and programmers are reading that." Mapping the Communication Gap Between Software Developers and Privacy Experts. - Stefan Albert Horstmann; Samuel Domiks; Marco Gutfleisch; Mindy Tran; Yasemin Acar; Veelasha Moonsamy; Alena Naiakshina (Proc. Priv. Enhancing Technol., 2024)

5G Under Siege: A Comprehensive Guide to Threats and Penetration Testing in 5G Campus Networks. - Anna Triesch; Tim Barsch; Veelasha Moonsamy; Matteo Große-Kampmann (IWCMC, 2025)

Vulnerability, Where Art Thou? An Investigation of Vulnerability Management in Android Smartphone Chipsets. - Daniel Klischies; Philipp Mackensen; Veelasha Moonsamy (NDSS, 2025)

Spatial-Domain Wireless Jamming with Reconfigurable Intelligent Surfaces. - Philipp Mackensen; Paul Staat; Stefan Roth 004; Aydin Sezgin; Christof Paar; Veelasha Moonsamy (NDSS, 2025)

"Sorry for Bugging you so much." Exploring Developers' Behavior Towards Privacy-Compliant Implementation. - Stefan Albert Horstmann; Sandy Hong; David Klein 001; Raphael Serafini; Martin Degeling; Martin Johns; Veelasha Moonsamy; Alena Naiakshina (SP, 2025)

BaseBridge: Bridging the Gap Between Over-the-Air and Emulation Testing for Cellular Baseband Firmware. - Daniel Klischies; Dyon Goos; David Hirsch; Alyssa Milburn; Marius Muench; Veelasha Moonsamy (SP, 2025)

Beyond Learning Algorithms: The Crucial Role of Data in Robust Malware Detection. - Hamid Bostani; Veelasha Moonsamy (IEEE Secur. Priv., 2025)

Making Web Applications GDPR Compliant: A Comparative Evaluation of GDPR-Enforcement Frameworks. - Felix Kalinowski; David Klein 001; Martin Johns; Veelasha Moonsamy (Proc. Priv. Enhancing Technol., 2025)

CovertPower: A Covert Channel on Android Devices Through USB Power Line. - Riccardo Spolaor; Yi Xu; Veelasha Moonsamy; Mauro Conti; Xiuzhen Cheng 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection. - Hamid Bostani; Zhengyu Zhao 001; Zhuoran Liu 001; Veelasha Moonsamy (ACM Trans. Priv. Secur., 2025)