Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Magnus Almgren"'
Publikováno v:
Sensors, Vol 23, Iss 14, p 6509 (2023)
Differential privacy (DP) defines privacy protection by promising quantified indistinguishability between individuals who consent to share their privacy-sensitive information and those who do not. DP aims to deliver this promise by including well-cra
Externí odkaz:
https://doaj.org/article/db1ed3eb22474490a3a9f142b39eca8d
Autor:
Pablo Picazo, Magnus Almgren
Publikováno v:
International Journal of Information Security. 22:29-46
As part of building the smart grid, there is a massive deployment of so-called smart meters that aggregate information and communicate with the back-end office, apart from measuring properties of the local network. Detailed measurements and communica
Publikováno v:
Proceedings of the 16th European Workshop on System Security.
Publikováno v:
Proceedings of the 9th International Conference on Information Systems Security and Privacy.
Publikováno v:
2022 IEEE 47th Conference on Local Computer Networks (LCN).
Publikováno v:
Future Generation Computer Systems. 108:1241-1257
The emergence of Internet of Things (IoT) offers many advantages, but it also raises significant challenges with respect to efficient and distributed processing of large data and also privacy concerns related to large data disclosure. We investigate
Publikováno v:
CSCS
Risk-based security models have seen a steady rise in popularity over the last decades, and several security risk assessment models have been proposed for the automotive industry. The new UN vehicle regulation 155 on cybersecurity provisions for vehi
Publikováno v:
ARES
Vehicles have become connected in many ways. They communicate with the cloud and will use Vehicle-to-Everything (V2X) communication to exchange warning messages and perform cooperative actions such as platooning. Vehicles have already been attacked a
Autor:
Pierre-Jean Bibet, Marianna Rondon, Edouard Thibaut, Åge Hofstad, Tarje Olderheim, Magnus Almgren
Publikováno v:
Day 3 Wed, August 18, 2021.
The recent trend in the oil industry is to save CAPEX and exploit every offshore field to increase production and maximize reserves. Also, deeper water and longer step-out is a challenge for new fields. The most adapted technology to unlock these res
Publikováno v:
Proceedings of the Workshop on Benchmarking Cyber-Physical Systems and Internet of Things.
Advances in deep learning have revolutionized machine learning by solving complex tasks such as image, speech, and text recognition. However, training and inference of deep neural networks are resource-intensive. Recently, researchers made efforts to