Wsn-bfsf: A new dataset for attacks detection in wireless sensor networks
The popularity of wireless sensor networks (WSNs) increases as the usage areas and the
number of integrated systems increase, and this situation attracts the attention of attackers …
number of integrated systems increase, and this situation attracts the attention of attackers …
Security of the Internet of Things: Vulnerabilities, attacks, and countermeasures
Wireless Sensor Networks (WSNs) constitute one of the most promising third-millennium
technologies and have wide range of applications in our surrounding environment. The …
technologies and have wide range of applications in our surrounding environment. The …
Efficient, lightweight cyber intrusion detection system for IoT ecosystems using mi2g algorithm
S Kaushik, A Bhardwaj, A Alomari, S Bharany… - Computers, 2022 - mdpi.com
The increase in internet connectivity has led to an increased usage of the Internet of Things
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks
Wireless sensor networks (WSNs) are an emerging military and civilian technology that uses
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …
An accurate attack detection framework based on exponential polynomial kernel‐centered deep neural networks in the wireless sensor network
B Raveendranadh… - Transactions on emerging …, 2023 - Wiley Online Library
A novel type of wireless network that is rising in popularity with a wide assortment of civilian
along with military applications is called WSN. Owing to several factors like nodes with …
along with military applications is called WSN. Owing to several factors like nodes with …
Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things
K Pramilarani, PV Kumari - Applied Soft Computing, 2024 - Elsevier
Abstract Internet of Things (IoT) is the collection of physical and digital devices that are
interconnected using Internet for exchange of information and delivery of services. The …
interconnected using Internet for exchange of information and delivery of services. The …
LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using …
The dramatic increase in the computational facilities integrated with the explainable
machine learning algorithms allows us to do fast intrusion detection and prevention at …
machine learning algorithms allows us to do fast intrusion detection and prevention at …
Recursive feature elimination with cross-validation with decision tree: Feature selection method for machine learning-based intrusion detection systems
The frequency of cyber-attacks on the Internet of Things (IoT) networks has significantly
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
Feature selection and comparison of classification algorithms for wireless sensor networks
Wireless sensor networks (WSNs) are developing at an incredible pace because of their
cost-effective solutions for applications like military and medical. WSN consists of a large …
cost-effective solutions for applications like military and medical. WSN consists of a large …
Decision tree based intrusion detection system for NSL-KDD dataset
Abstract In this paper, Decision Tree (DT) based IDS is proposed for NSL-KDD dataset. The
proposed work uses Correlation Feature Selection (CFS) subset evaluation method for …
proposed work uses Correlation Feature Selection (CFS) subset evaluation method for …