Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Canberk, Berk"'
The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networks and ubiquitous intelligence. Existing solutions in the DT domain pr
Externí odkaz:
http://arxiv.org/abs/2409.01136
The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this a
Externí odkaz:
http://arxiv.org/abs/2408.10409
Autor:
Sun, Chenrui, Fontanesi, Gianluca, Chetty, Swarna Bindu, Liang, Xuanyu, Canberk, Berk, Ahmadi, Hamed
Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas
Externí odkaz:
http://arxiv.org/abs/2405.10087
This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin
Externí odkaz:
http://arxiv.org/abs/2404.11394
Ransomware has been predominantly a threat to Windows systems. But, Linux systems became interesting for cybercriminals and this trend is expected to continue. This endangers IoT ecosystems, whereas many IoT systems are based on Linux (e.g. cloud inf
Externí odkaz:
http://arxiv.org/abs/2403.17571
This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study comprises two phases. In Phase I, we utilize traffic data and AI clus
Externí odkaz:
http://arxiv.org/abs/2402.10701
Autor:
Cakir, Lal Verda, Al-Shareeda, Sarah, Oktug, Sema F., Özdem, Mehmet, Broadbent, Matthew, Canberk, Berk
Synchronization is fundamental for mirroring real-world entities in real-time and supporting effective operations of Digital Twins (DTs). Such synchronization is enabled by the communication between the physical and virtual realms, and it is mostly a
Externí odkaz:
http://arxiv.org/abs/2402.05587
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks
Externí odkaz:
http://arxiv.org/abs/2402.00839
Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA
Externí odkaz:
http://arxiv.org/abs/2402.00831
Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data
Externí odkaz:
http://arxiv.org/abs/2401.16449