Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
With the increase in sophistication and connectedness of the healthcare networks, their
attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients' …
attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients' …
Enhancing quality of experience in mobile edge computing using deep learning based data offloading and cyberattack detection technique
Due to the advancements of high-speed networks, mobile edge computing (MEC) has
received significant attention to bring processing and storage resources in client's proximity …
received significant attention to bring processing and storage resources in client's proximity …
Policy conflict detection approach for decision-making in intelligent industrial Internet of Things
Abstract Improving Industrial Internet of Things (IIOT), device flexibility and lowering
maintenance costs are significant problems. However, as the scale of the Intelligent …
maintenance costs are significant problems. However, as the scale of the Intelligent …
[PDF][PDF] Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems.
Mobile edge computing (MEC) provides effective cloud services and functionality at the
edge device, to improve the quality of service (QoS) of end users by offloading the high …
edge device, to improve the quality of service (QoS) of end users by offloading the high …
Classification of botnet attacks in IoT using a convolutional neural network
Detecting malicious attacks on Internet of Things (IoT) devices is a current research trend
due to the rise of Botnet attacks across different IoT environments and the lack of …
due to the rise of Botnet attacks across different IoT environments and the lack of …
Interference management and power scheduling in femtocell networks with the optimized power scheduling BiLSTM
With the proliferation of femtocell networks, seamless hand-off, and efficient power
management are crucial for ensuring undisturbed connectivity and the optimal utilization of …
management are crucial for ensuring undisturbed connectivity and the optimal utilization of …
Deep learning techniques in mobile edge computing for Internet of medical things
The fast expansion of the Internet of Medical Things (IoMT) has resulted in a ubiquitous
home health diagnostic network. High patient demand results in high costs, short latency …
home health diagnostic network. High patient demand results in high costs, short latency …
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred
effectively with most current methods which focused on characterizing past threats. Adaptive …
effectively with most current methods which focused on characterizing past threats. Adaptive …
人工智能在 5G 系统中的应用综述
章坚武， 王路鑫， 孙玲芬， 章谦骅， 单杭冠 - 电信科学, 2021 - infocomm-journal.com
随着5G 的不断发展, 万物互联时代即将来临. 海量设备连接, 海量业务请求, 超高网络负载,
复杂动态的网络环境等对5G 系统优化提出了巨大的挑战. 面对这些技术难点, 人工智能(AI) …
复杂动态的网络环境等对5G 系统优化提出了巨大的挑战. 面对这些技术难点, 人工智能(AI) …