Intrusion detection system (IDS) has become an essential layer in all the latest ICT system
due to an urge towards cyber safety in the day-to-day world. Reasons including uncertainty …

Currently Machine-learning (ML) methods are widely active in this era of information
security. Owing to unpredictable actions and unknown vulnerabilities, conventional security …

As the use of network services increase, security is considered as a crucial and major issue
in the network. Several computers connected with the network play an essential role in …

Internet of Things (IoT) has become a popular paradigm to fulfil needs of the industry such
as asset tracking, resource monitoring and automation. As security mechanisms are often …

In the modern era of active network throughput and communication, the study of Intrusion
Detection Systems (IDS) is a crucial role to ensure safe network resources and information …

This paper considers the use of Synthetic Minority Oversampling Technique (SMOTE),
Principal Component Analysis (PCA), and Ensemble Feature Selection (EFS) to improve the …

The most significant threat that networks established in IoT may encounter is cyber attacks.
The most commonly encountered attacks among these threats are DDoS attacks. After …

In this paper, Big Data and Deep Learning Techniques are integrated to improve the
performance of intrusion detection systems. Three classifiers are used to classify network …

Cyberattacks are becoming more and more advanced, making it more difficult to identity
suspicious activities on network traffic. Weaponizing the data in the line between network …