Category Archives: Publication

Increasing amount of attacks and intrusions against networked systems and data networks requires sensor capability. Data in modern networks, including the Internet, is often encrypted, making classical traffic analysis complicated. In this study, we detect anomalies from encrypted network traffic by developing an anomaly based network intrusion detection system applying neural networks based on the […]

Cyber security exercises (CSE) are complex learning experiences aimed at developing expert knowledge and competence through simulation. In this paper we examine pedagogical issues relating to CES, from exercise design to training results and evaluation. In addition, we present a Deliberate Practice -oriented view on expert and competence development for CSEs. We use data gathered […]

In the cyber domain, situational awareness of the critical assets is extremely important. For achieving comprehensive situational awareness, accurate sensor information is required. An important branch of sensors are Intrusion Detection Systems (IDS), especially anomaly based intrusion detection systems applying artificial intelligence or machine learning for anomaly detection. This millennium has seen the transformation of […]

The number of intrusions and attacks against data networks and networked systems increases constantly, while encryption has made it more difficult to inspect network traffic and classify it as malicious. In this paper, an anomaly-based intrusion detection system using Haar wavelet transforms in combination with an adversarial autoencoder was developed for detecting malicious TLS-encrypted Internet traffic. […]

Cyber security exercises allow individuals and organisations to train and test their skills in complex cyber attack situations. In order to effectively organise and conduct such exercise, the exercise control team must have accurate situational awareness of the exercise teams. In this paper, the communication patterns collected during a large-scale cyber exercise, and their possible […]

Distributed denial-of-service (DDoS) attacks are one of the most serious threats to today’s high-speed networks. These attacks can quickly incapacitate a targeted business, costing victims millions of dollars in lost revenue and productivity. In this paper, we present a novel method which allows us to timely detect application-layer DDoS attacks that utilize encrypted protocols by […]

Networked software systems have a remarkable and critical role in the modern society. There are critical software systems in every business area. At the same time, the amount of cyber-attacks against those critical networked software systems has increased in large measures. Because of that, the cyber security situational awareness of the own assets plays an […]

Nowadays, zero-day Denial-of-Service (DoS) attacks become frighteningly common in high-speed networks due to constantly increasing number of vulnerabilities. Moreover, these attacks become more sophisticated, and, therefore, they are hard to detect before they damage several networks and hosts. Due to these reasons, real-time monitoring, processing and network anomaly detection must be among key features of […]

Exchanging of Situation Awareness information is extremely important for organizations in order to survive as part of the cyber domain. The situation Awareness is required for decision making and for an early warning of upcoming threats. Situation Awareness and the security information in the cyber domain differ from the kinetic domain. Because of that, Situation […]