A survey on internet-of-things security: threats and emerging countermeasures
Internet of things (IoT) is a world wide network and set of paradigms that are intended to
allow communications between anything, anytime and anywhere. However, connected …
allow communications between anything, anytime and anywhere. However, connected …
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 …
Internet of Things: A survey on machine learning-based intrusion detection approaches
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …
always increasing. Computer security has become a necessity due to the proliferation of …
An analysis of IoT cyber security driven by machine learning
S Strecker, W Van Haaften, R Dave - Proceedings of International …, 2021 - Springer
Since the beginning of the Internet of Things (IoT), the number of IoT devices connected to
the Internet has grown rapidly. However, many IoT devices lack the security standards that …
the Internet has grown rapidly. However, many IoT devices lack the security standards that …
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 …
Enhancing internet of things network security using hybrid CNN and xgboost model tuned via modified reptile search algorithm
This paper addresses the critical security challenges in the internet of things (IoT) landscape
by implementing an innovative solution that combines convolutional neural networks …
by implementing an innovative solution that combines convolutional neural networks …
Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
Using artificial intelligence to integrate machine learning, fuzzy logic, and the IOT as A cybersecurity system
Concerns about cybersecurity have increased along with the Internet of Things'(IoT)
exponential growth in recent years. Artificial intelligence (AI), which is used to create …
exponential growth in recent years. Artificial intelligence (AI), which is used to create …
IoT security with Deep Learning-based Intrusion Detection Systems: A systematic literature review
In the recent years, Internet of things (IoT) is rising increasingly to become a big research
topic due to the billions of devices dispatched around the world. These devices are …
topic due to the billions of devices dispatched around the world. These devices are …
A state of the art survey of machine learning algorithms for IoT security
AF Jahwar, SRM Zeebaree - Asian Journal of …, 2021 - science.scholarsacademic.com
The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to
the Internet. The IoT's diverse application domains, including smart cities, smart homes, and …
the Internet. The IoT's diverse application domains, including smart cities, smart homes, and …