Abstract The Internet of Things (IoT) has revolutionized our world today by providing greater
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …

Anomaly detection in time series data is essential for fraud detection and intrusion
monitoring applications. However, it poses challenges due to data complexity and high …

The late detection of security threats causes a significant increase in the risk of irreparable
damages and restricts any defense attempt. In this paper, we propose a sCAlable TRAffic …

Anomaly detection in time series has become an increasingly vital task, with applications
such as fraud detection and intrusion monitoring. Tackling this problem requires an array of …

Detecting threats on the Internet is a key factor in maintaining data and information security.
An intrusion detection system tries to prevent such attacks from occurring through the …

In cyber security, it is critical that event data is collected in as near real time as possible to
enable early detection and response to threats. Performing analytics from event logs stored …

An intrusion detection system (IDS) perform postcompromise detection of security breaches
whenever preventive measures such as firewalls do not avert an attack. However, these …

The requirements regarding network management defined by the continuously rising
amount of interconnected devices in the industrial landscape turns it into an increasingly …

The late detection of security threats causes a significant increase in the risk of irreparable
damages, disabling any defense attempt. As a consequence, fast realtime threat detection is …

In this chapter, we focus on stream processing architectures for real-time threat detection in
networks. We present and compare Apache Storm, Apache Spark Streaming, and Apache …