AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

An intelligent intrusion detection system for smart consumer electronics network

D Javeed, MS Saeed, I Ahmad, P Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …

Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning

R Heartfield, G Loukas, A Bezemskij… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Multimodal neuromorphic sensory-processing system with memristor circuits for smart home applications

Z Dong, X Ji, G Zhou, M Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Privacy-preserving federated learning in medical diagnosis with homomorphic re-encryption

H Ku, W Susilo, Y Zhang, W Liu, M Zhang - Computer Standards & …, 2022 - Elsevier
Unlike traditional centralized machine learning, distributed machine learning provides more
efficient and useful application scenarios. However, distributed learning may not meet some …

The energy management of multiport energy router in smart home

R Wang, S Jiang, D Ma, Q Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

{ARGUS}:{Context-Based} Detection of Stealthy {IoT} Infiltration Attacks

P Rieger, M Chilese, R Mohamed, M Miettinen… - 32nd USENIX Security …, 2023 - usenix.org
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 …

Unsupervised deep learning for IoT time series

Y Liu, Y Zhou, K Yang, X Wang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …