Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
[HTML][HTML] A review of the security vulnerabilities and countermeasures in the Internet of Things solutions: A bright future for the Blockchain
The current advances in the Internet of Things (IoT) and the solutions being offered by this
technology have accounted IoT among the top ten technologies that will transform the global …
technology have accounted IoT among the top ten technologies that will transform the global …
Machine learning benchmarking for secured iot smart systems
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
Survey and classification of Dos and DDos attack detection and validation approaches for IoT environments
Abstract The Internet of Things (IoT) has emerged over the past ten years as the newest
technology trend that is luring researchers and developers from every sector of industry and …
technology trend that is luring researchers and developers from every sector of industry and …
Toward secured iot-based smart systems using machine learning
Machine learning (ML) and the internet of things (IoT) are among the most booming
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …
MAGRU-IDS: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …
environments amplifies the potential for security breaches and compromises. To monitor IIoT …
Timely detection of DDoS attacks in IoT with dimensionality reduction
The exponential growth of IoT devices and their interdependency makes the technology
more vulnerable to network attacks like Distributed Denial of Service (DDoS) that interrupt …
more vulnerable to network attacks like Distributed Denial of Service (DDoS) that interrupt …
A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications
NTY Huan, ZA Zukarnain - IEEE Access, 2024 - ieeexplore.ieee.org
By 2025, the Internet of Things (IoT) infrastructure is projected to encompass over 75 billion
devices, facilitated by the increasing proliferation of intelligent applications. The IoT …
devices, facilitated by the increasing proliferation of intelligent applications. The IoT …
Correlation between deep neural network hidden layer and intrusion detection performance in IoT intrusion detection system
H Han, H Kim, Y Kim - Symmetry, 2022 - mdpi.com
As the Internet of Things (IoT) continues to grow, a vast amount of data is generated. The IoT
environment is quite sensitive to security challenges because personal information may be …
environment is quite sensitive to security challenges because personal information may be …
[PDF][PDF] TCP/UDP-based exploitation DDoS attacks detection using AI classification algorithms with common uncorrelated feature subset selected by Pearson …
KB Dasari, N Devarakonda - Revue d'Intelligence Artificielle, 2022 - academia.edu
Accepted: 24 February 2022 The Distributed Denial of Service (DDoS) attack is a serious
cyber security attack that attempts to disrupt the availability security principle of computer …
cyber security attack that attempts to disrupt the availability security principle of computer …