Recent years have seen a proliferation of research on adversarial machine learning. Numerous papers demonstrate powerful algorithmic attacks against a wide variety of …
User demand on network communication infrastructure has never been greater with applications such as extended reality, holographic telepresence, and wireless brain …
D Namiot - International Journal of Open Information Technologies, 2023 - injoit.ru
This article discusses attack schemes on artificial intelligence systems (on machine learning models). Classically, attacks on machine learning systems are special data modifications at …
F Mancini, G Bianchi - Proceedings of the 18th International Conference …, 2023 - dl.acm.org
To ensure 5G infrastructure security, standardized Security Assurance Specification (SCAS) tests are being developed by 3GPP. However, executing these tests on complex 5G …
Despite the numerous pompous statements regarding 5G, it is indisputable that 5G creates a radical shift in telecommunications. The main reason is that 5G is an enabler of numerous …
The fifth generation (5G) networks are designed to support a large range of diverse services with strict performance requirements. Studies suggest that, 5G uses machine learning …
Abstract 5G network technology is being rapidly adopted in various critical infrastructures, mainly due to its unique benefits (eg, higher throughput, lower latency, and better …
Q Zou, L Zhang, A Singhal, X Sun… - Journal of Computer …, 2023 - content.iospress.com
While network attacks play a critical role in many advanced persistent threat (APT) campaigns, an arms race exists between the network defenders and the adversary: to make …