A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …
between different communicating devices. The data should be communicated securely …
A survey on boosting IoT security and privacy through blockchain: Exploration, requirements, and open issues
The constant development of interrelated computing devices and the emergence of new
network technologies have caused a dramatic growth in the number of Internet of Things …
network technologies have caused a dramatic growth in the number of Internet of Things …
HIIDS: Hybrid intelligent intrusion detection system empowered with machine learning and metaheuristic algorithms for application in IoT based healthcare
This paper presents machine learning and metaheuristic algorithms based hybrid intelligent
Intrusion Detection System (HIIDS) for Internet of Things based applications such as …
Intrusion Detection System (HIIDS) for Internet of Things based applications such as …
Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET
Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …
clever traffic control and traffic failure protective measures. Generally, the nodes present in …
Swarm intelligence inspired intrusion detection systems—a systematic literature review
Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …
securing a network. A huge number of techniques have been proposed and implemented to …
Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
Abstract Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing …
communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing …
A review of research works on supervised learning algorithms for SCADA intrusion detection and classification
Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …
providing remote access, monitoring and control of critical infrastructures (CIs) which …
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
The ever-increasing interconnectedness of our world, fueled by technological
advancements across industries, has made network security a paramount concern. This …
advancements across industries, has made network security a paramount concern. This …
Malicious traffic classification using long short-term memory (LSTM) model
KNK Thapa, N Duraipandian - Wireless Personal Communications, 2021 - Springer
Malicious traffic classification is the initial and primary step for any network-based security
systems. This traffic classification systems include behavior-based anomaly detection …
systems. This traffic classification systems include behavior-based anomaly detection …
A semi-self-taught network intrusion detection system
F Zhao, H Zhang, J Peng, X Zhuang, SG Na - Neural Computing and …, 2020 - Springer
The ever increasing threat and complexity of modern cyber-attacks requires search for
integrated and flexible intelligent defense mechanisms. Such approaches can provide …
integrated and flexible intelligent defense mechanisms. Such approaches can provide …