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of 13
pro vyhledávání: '"Dam, Tobias"'
Users are more aware than ever of the importance of their own data, thanks to reports about security breaches and leaks of private, often sensitive data in recent years. Additionally, the GDPR has been in effect in the European Union for over three y
Externí odkaz:
http://arxiv.org/abs/2311.10385
Data-driven technologies have the potential to initiate a transportation related revolution in the way we travel, commute and navigate within cities. As a major effort of this transformation relies on Mobility Data Spaces for the exchange of mobility
Externí odkaz:
http://arxiv.org/abs/2309.11289
Publikováno v:
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023
The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as "connectors" support the definition of usage control policies and the verifiable enforcement of such polic
Externí odkaz:
http://arxiv.org/abs/2309.11282
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), 2023, 156-159
Open-source software (OSS) plays a vital role in the modern software ecosystem. However, the maintenance and sustainability of OSS projects can be challenging. In this paper, we present the CrOSSD project, which aims to build a database of OSS projec
Externí odkaz:
http://arxiv.org/abs/2305.01311
Autor:
Dam, Tobias, Neumaier, Sebastian
Publikováno v:
Proceedings of the 5th International Data Science Conference - iDSC2023
Much of the current software depends on open-source components, which in turn have complex dependencies on other open-source libraries. Vulnerabilities in open source therefore have potentially huge impacts. The goal of this work is to get a quantita
Externí odkaz:
http://arxiv.org/abs/2206.14527
Autor:
Slijepčević, Djordje, Henzl, Maximilian, Klausner, Lukas Daniel, Dam, Tobias, Kieseberg, Peter, Zeppelzauer, Matthias
Publikováno v:
Comput. Secur. 111, 2021
The protection of private information is a crucial issue in data-driven research and business contexts. Typically, techniques like anonymisation or (selective) deletion are introduced in order to allow data sharing, e. g. in the case of collaborative
Externí odkaz:
http://arxiv.org/abs/2102.04763
Publikováno v:
J. Cyber Secur. Mobil. 9 (2), 2020, 265-300
Today, many different types of scams can be found on the internet. Online criminals are always finding new creative ways to trick internet users, be it in the form of lottery scams, downloading scam apps for smartphones or fake gambling websites. Thi
Externí odkaz:
http://arxiv.org/abs/2004.01749
Publikováno v:
Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019), 2019, 53:1-53:9
Today, many different types of scams can be found on the internet. Online criminals are always finding new creative ways to trick internet users, be it in the form of lottery scams, downloading scam apps for smartphones or fake gambling websites. Thi
Externí odkaz:
http://arxiv.org/abs/1906.10762
Autor:
Slijepčević, Djordje, Henzl, Maximilian, Klausner, Lukas Daniel, Dam, Tobias, Kieseberg, Peter, Zeppelzauer, Matthias
Publikováno v:
In Computers & Security December 2021 111
Akademický článek
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