Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
Crucial attacks in internet of things via artificial intelligence techniques: The security survey
S Thavamani, D Mahesh, U Sinthuja… - AIP Conference …, 2022 - pubs.aip.org
The Internet of Things (IoT) is made up of a set of connected devices, which associated with
numerous sensors, actuators, and systems but not limited to sensor networks, Radio …
numerous sensors, actuators, and systems but not limited to sensor networks, Radio …
A top-down survey on securing IoT with machine learning: goals, recent advances and challenges
The Internet of Things (IoT) has seen it all from being just another innovation to a leading
technology; it is now a binding force that interconnects various aspects of our lives. The IoT's …
technology; it is now a binding force that interconnects various aspects of our lives. The IoT's …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance
SK Sahu, K Mazumdar - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
The rapid proliferation of Internet of Things (IoT) devices across various industries has
revolutionized the way we interact with technology. However, this widespread adoption has …
revolutionized the way we interact with technology. However, this widespread adoption has …
Deep Learning for IoT Security: Applications and Challenges
The term internet of things (IoT) denotes the advanced phase of the internet, wherein a
worldwide communication infrastructure is established between individuals and machines …
worldwide communication infrastructure is established between individuals and machines …
A survey on learning-based intrusion detection systems for IoT networks
Internet of Things (IoT) networks have developed tremendously over the past years. The
main concept behind this technology is to facilitate information exchange between devices …
main concept behind this technology is to facilitate information exchange between devices …
Design guidelines for machine learning-based cybersecurity in internet of things
A Boukerche, RWL Coutinho - IEEE Network, 2020 - ieeexplore.ieee.org
Cybersecurity is one of the building blocks in need of increasing attention in Internet of
things (IoT) applications. IoT has become a popular target for attackers seeking sensitive …
things (IoT) applications. IoT has become a popular target for attackers seeking sensitive …