AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …
the internet, enable remote monitoring, automation, and control. However, collecting …
An intelligent intrusion detection system for smart consumer electronics network
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …
Consumer Electronics (CE) into next-generation CE with higher connectivity and …
Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning
The modern Internet of Things (IoT)-based smart home is a challenging environment to
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
Multimodal neuromorphic sensory-processing system with memristor circuits for smart home applications
To enable smart home applications, embedding home monitoring systems with different
sensors can be a feasible remedy to capture the multimodal sensory information from daily …
sensors can be a feasible remedy to capture the multimodal sensory information from daily …
Privacy-preserving federated learning in medical diagnosis with homomorphic re-encryption
Unlike traditional centralized machine learning, distributed machine learning provides more
efficient and useful application scenarios. However, distributed learning may not meet some …
efficient and useful application scenarios. However, distributed learning may not meet some …
The energy management of multiport energy router in smart home
Although smart home has received wide attention in recent years, numerous scholars focus
more on energy optimization strategy than energy dispatch hardware device (named energy …
more on energy optimization strategy than energy dispatch hardware device (named energy …
Ranking security of IoT-based smart home consumer devices
NM Allifah, IA Zualkernan - Ieee Access, 2022 - ieeexplore.ieee.org
Manufacturers of smart home consumer devices like home theatres, music players, voice-
based assistants, smart lighting, and security cameras have widely adopted the Internet of …
based assistants, smart lighting, and security cameras have widely adopted the Internet of …
{ARGUS}:{Context-Based} Detection of Stealthy {IoT} Infiltration Attacks
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices
control various functions in smart homes and buildings, smart cities, and smart factories …
control various functions in smart homes and buildings, smart cities, and smart factories …
Unsupervised deep learning for IoT time series
Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …
variety of areas, ranging from health informatics to network security. Nevertheless, the …