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A Model for Intelligent Protection of Critical Computer Systems

Gonzalez Fernando, Rusinkiewicz Marek, Zalewski Janusz

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2021

Vol. 25, No 3

279--294

We propose a unified model for the enforcement of safety and security of cyber-physical systems in critical applications. We argue that the need for resilience of a critical system requires simultaneous protection from hazards (safety) and from unauthorized access (security). We review how the critical system properties are handled and present a framework for their modeling. Then we present a model for the enforcement of critical system properties through situational awareness, including threat monitoring, data analysis and state prediction for decision making. We conclude by presenting a case study of a power grid simulation and advocate the ability to move from today's reactive approaches to proactive ones that aim at avoiding system failures.

Data clustering for the block profile method of intruder detection

Wesolowski T., Kudlacik P.

Journal of Medical Informatics & Technologies

2013

Vol. 22

209--216

The paper concerns the problem of computer security and intrusion detection. In particular the problem of detecting the masqueraders – intruders who pretend to be authorized users of computer systems. The article presents an improvement of the block profile method of intruder detection for computer systems. As a base for the work the block profiles were taken and the clustering of the block profiles data was performed. The aim was to detect the masqueraders within the test data. The problem of computer security is particularly important in medical applications. Activities of intruder can distort the data stored in medical databases and analyzed by the medical expert systems or decision support systems and thus make it difficult to support the diagnosis of diseases. For this reason it is necessary protect the medical computer systems from unauthorized access. This article presents the preliminary research and conclusions.