Platon Kotzias

Platon Kotzias

Platon Kotzias
Researcher

Platon joined NortonLifeLock Research Group in 2019.

He received his PhD in Software, Systems and Computing in 2019 at the IMDEA Software Institute and Universidad Politecnica de Madrd (UPM) under the supervision of Dr. Juan Caballero. His research interests lie in malware (detection, analysis, classification) and network security (measurements, intrusion detection).

His PhD shed light on various unknown facets of Potentially Unwanted Programs (PUP) that affected millions of Internet users. His work has been published in top-tier security conferences like Usenix Security, ACM CCS, IEEE Security & Privacy, and NDSS Symposium.

Selected Academic Papers

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Measuring PUP Prevalence and PUP Distribution through Pay-Per-Install Services

In Proceedings of the 25th USENIX Security Symposium (USENIX Security 2019)
We perform the first systematic study of PUP prevalence and its distribution through pay-per-install (PPI) services, which link advertisers that want to promote their programs with affiliate publishers willing to bundle their programs with offers for other software.

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Mind your Own Business: A Longitudinal Study of Threats and Vulnerabilities in Enterprises

In Proceedings of the The Network and Distributed System Security Symposium (NDSS 2018)

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Can I Opt Out Yet? GDPR and the Global Illusion of Cookie Control

In Proceedings of the 14th ACM Asia Conference on Computer and Communications Security (ACM ASIACCS 2019)
We evaluate both the information presented to users and the actual tracking implemented through cookies; we find that the GDPR has impacted website behavior in a truly global way, both directly and indirectly. On the other hand, we find that tracking remains ubiquitous.

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How Did That Get In My Phone? Unwanted App Distribution on Android Devices

In Proceedings of the 42nd IEEE Symposium on Security and Privacy (S&P 2021)

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Trouble Over-The-Air: An Analysis of FOTA Apps in the Android Ecosystem

In Proceedings of the 42nd IEEE Symposium on Security and Privacy (S&P 2021)