Machine learning for wireless sensor networks security: An overview of challenges and issues
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
A survey of physical layer techniques for secure wireless communications in industry
The industrial environment poses strict requirements to the infrastructure of good and
service production and delivery. Communications are not an exception. Wired systems …
service production and delivery. Communications are not an exception. Wired systems …
Securing the internet of things in the age of machine learning and software-defined networking
The Internet of Things (IoT) realizes a vision where billions of interconnected devices are
deployed just about everywhere, from inside our bodies to the most remote areas of the …
deployed just about everywhere, from inside our bodies to the most remote areas of the …
A robust and practical solution to ADS-B security against denial-of-service attacks
ADS-B has been widely deployed on aircraft to facilitate aviation information exchange and
improve air traffic safety. However, its broadcast nature and lack of security considerations …
improve air traffic safety. However, its broadcast nature and lack of security considerations …
Multi-agent deep reinforcement learning for packet routing in tactical mobile sensor networks
Tactical wireless sensor networks (T-WSNs) are used in critical data-gathering military
operations, such as battlefield surveillance, combat monitoring, and intrusion detection …
operations, such as battlefield surveillance, combat monitoring, and intrusion detection …
Toward a secure industrial wireless body area network focusing MAC layer protocols: an analytical review
A Javadpour, AK Sangaiah, F Ja'Fari… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Monitoring security and quality of service is essential, due to the rapid growth of the number
of nodes in wireless networks. In healthcare/industrial environments, especially in wireless …
of nodes in wireless networks. In healthcare/industrial environments, especially in wireless …
From 5G to 6G networks, a survey on AI-Based jamming and interference detection and mitigation
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …
revolutionize future wireless communications in terms of massive connectivity, higher …
Security in low powered wide area networks: Opportunities for software defined network-supported solutions
The Internet of things (IoT) has revolutionized the use of connectivity and has given birth to
new transmission technologies to satisfy the requirements of diverse IoT applications. Low …
new transmission technologies to satisfy the requirements of diverse IoT applications. Low …
[HTML][HTML] Overview of DOS attacks on wireless sensor networks and experimental results for simulation of interference attacks
Wireless sensor networks are now used in various fields. The information transmitted in the
wireless sensor networks is very sensitive, so the security issue is very important. DOS …
wireless sensor networks is very sensitive, so the security issue is very important. DOS …
On the performance of deep reinforcement learning-based anti-jamming method confronting intelligent jammer
With the development of access technologies and artificial intelligence, a deep
reinforcement learning (DRL) algorithm is proposed into channel accessing and anti …
reinforcement learning (DRL) algorithm is proposed into channel accessing and anti …