Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of
smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e …

As computer networks keep growing at a high rate, achieving confidentiality, integrity, and
availability of the information system is essential. Intrusion detection systems (IDSs) have …

Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …

A retail sector is a group of organization or people who sell goods or services for gaining
income. Fraud is wrongful or criminal activities for the economic and personal benefits …

IDS is the main concern of the security which is useful to prevent the attack at host and
network level. In this propose work, classification of KDD intrusion dataset is proposed along …

Network traffic analysis is one of the most important tasks in the era of on-demand Cloud
Computing. However, increased resilience on computing needs, migration flexibility, and …

Communication Technology in critical infrastructures such as Industrial Control Systems
make them vulnerable to cyberattacks. One particular class of cyber-attacks is advanced …

The network data algorithm on account of association can effectively describe the
development process of historical data and predict the development trend of data. Draw …

The aim of a network-based intrusion detection system (NIDS) is to detect malicious activity
that targets a network and its resources. Abnormal activities or behaviors on the network …