Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Networking and communications in autonomous driving: A survey
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
[HTML][HTML] A hybrid spectral clustering and deep neural network ensemble algorithm for intrusion detection in sensor networks
T Ma, F Wang, J Cheng, Y Yu, X Chen - Sensors, 2016 - mdpi.com
The development of intrusion detection systems (IDS) that are adapted to allow routers and
network defence systems to detect malicious network traffic disguised as network protocols …
network defence systems to detect malicious network traffic disguised as network protocols …
A survey of routing attacks in mobile ad hoc networks
B Kannhavong, H Nakayama, Y Nemoto… - IEEE Wireless …, 2007 - ieeexplore.ieee.org
Recently, mobile ad hoc networks became a hot research topic among researchers due to
their flexibility and independence of network infrastructures, such as base stations. Due to …
their flexibility and independence of network infrastructures, such as base stations. Due to …
[HTML][HTML] A machine learning based intrusion detection system for mobile Internet of Things
Intrusion detection systems plays a pivotal role in detecting malicious activities that
denigrate the performance of the network. Mobile adhoc networks (MANETs) and wireless …
denigrate the performance of the network. Mobile adhoc networks (MANETs) and wireless …
A survey of MANET intrusion detection & prevention approaches for network layer attacks
A Nadeem, MP Howarth - IEEE communications surveys & …, 2013 - ieeexplore.ieee.org
In the last decade, mobile ad hoc networks (MANETs) have emerged as a major next
generation wireless networking technology. However, MANETs are vulnerable to various …
generation wireless networking technology. However, MANETs are vulnerable to various …
DoS attacks in mobile ad hoc networks: A survey
MANETs have unique characteristics like dynamic topology, wireless radio medium, limited
resources and lack of centralized administration, as a result, they are vulnerable to different …
resources and lack of centralized administration, as a result, they are vulnerable to different …
Advances on security threats and countermeasures for cognitive radio networks: A survey
RK Sharma, DB Rawat - IEEE Communications Surveys & …, 2014 - ieeexplore.ieee.org
Cognitive radio (CR) is regarded as an emerging technology, which equips wireless devices
with the capability to adapt their operating parameters on the fly based on the radio …
with the capability to adapt their operating parameters on the fly based on the radio …