Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last
decade in various applications. The smart things are connected in wireless or wired for …
decade in various applications. The smart things are connected in wireless or wired for …
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …
academic field. The objective of IoT is to combine the physical environment with the cyber …
Variational LSTM enhanced anomaly detection for industrial big data
With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly
discussed topic in digital and intelligent industry field. The security problem existing in the …
discussed topic in digital and intelligent industry field. The security problem existing in the …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
A supervised intrusion detection system for smart home IoT devices
E Anthi, L Williams, M Słowińska… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The proliferation in Internet of Things (IoT) devices, which routinely collect sensitive
information, is demonstrated by their prominence in our daily lives. Although such devices …
information, is demonstrated by their prominence in our daily lives. Although such devices …
[PDF][PDF] Hybrid intrusion detection system for internet of things (IoT)
S Smys, A Basar, H Wang - Journal of ISMAC, 2020 - scholar.archive.org
Internet of things (IoT) is a promising solution to connect and access every device through
internet. Every day the device count increases with large diversity in shape, size, usage and …
internet. Every day the device count increases with large diversity in shape, size, usage and …
Deep learning and big data technologies for IoT security
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …
(IoT), which enables communication and interaction with various devices. However, IoT has …
Internet of Things attack detection using hybrid Deep Learning Model
Abstract The Internet of Things (IoT) has become a very popular area of research due to its
large-scale implementation and challenges. However, security is the key concern while …
large-scale implementation and challenges. However, security is the key concern while …
A survey on internet of things security: Requirements, challenges, and solutions
Abstract Internet of Things (IoT) is one of the most promising technologies that aims to
enhance humans' quality of life (QoL). IoT plays a significant role in several fields such as …
enhance humans' quality of life (QoL). IoT plays a significant role in several fields such as …
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
With the prevalence of Internet of Things (IoT) systems, inconspicuous everyday household
devices are connected to the Internet, providing automation and real-time services to their …
devices are connected to the Internet, providing automation and real-time services to their …