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Titlebook: Security and Privacy in Cyber-Physical Systems and Smart Vehicles; First EAI Internatio Yu Chen,Chung-Wei Lin,Qi Zhu Conference proceedings

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樓主: Enkephalin
41#
發(fā)表于 2025-3-28 15:56:17 | 只看該作者
Michael Guastalla,Yiyi Li,Arvin Hekmati,Bhaskar KrishnamachariIoT platforms? and iii) What is the research approach in studies related to self-adaptive systems in IoT? First, 1136 primary studies were obtained through automatic and manual searches. Then, inclusion and exclusion criteria were applied to select 84 relevant studies on self-adaptation in IoT. Fina
42#
發(fā)表于 2025-3-28 22:49:56 | 只看該作者
43#
發(fā)表于 2025-3-29 02:58:52 | 只看該作者
Simeon Ogunbunmi,Mohsen Hatmai,Ronghua Xu,Yu Chen,Erik Blasch,Erika Ardiles-Cruz,Alexander Aved,Gens analyzes the factors that directly influence trust in e-Participation initiatives through an empirical research. Based on the model of trust for e-Participation by [.] the influence of “Technology” and “Participatory Processes” on trust and the decision to engage in an e-Participation is investigat
44#
發(fā)表于 2025-3-29 03:58:45 | 只看該作者
Yajie Bao,Dan Shen,Genshe Chen,Khanh Pham,Erik BlaschIoT platforms? and iii) What is the research approach in studies related to self-adaptive systems in IoT? First, 1136 primary studies were obtained through automatic and manual searches. Then, inclusion and exclusion criteria were applied to select 84 relevant studies on self-adaptation in IoT. Fina
45#
發(fā)表于 2025-3-29 07:42:27 | 只看該作者
46#
發(fā)表于 2025-3-29 14:31:00 | 只看該作者
47#
發(fā)表于 2025-3-29 17:28:21 | 只看該作者
48#
發(fā)表于 2025-3-29 23:00:16 | 只看該作者
Enabling Real-Time Restoration of?Compromised ECU Firmware in?Connected and?Autonomous Vehiclesry mechanism using trusted hardware components equipped in ECUs. Especially, the firmware restoration utilizes the existing FTL in the flash storage device. This process is highly efficient by minimizing the necessary restored information. Further, the recovery is managed via a trusted application r
49#
發(fā)表于 2025-3-30 02:19:09 | 只看該作者
50#
發(fā)表于 2025-3-30 06:10:46 | 只看該作者
Application of?Large Language Models to?DDoS Attack DetectionICIDS 2017 and the more intricate Urban IoT Dataset. Our findings indicate that LLMs, when applied in a few-shot learning context or through fine-tuning, can not only detect potential DDoS threats with significant accuracy but also elucidate their reasoning. Specifically, fine-tuning achieved an acc
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