Anomaly detection techniques in cyber-physical systems

Open access


Nowadays, when multiple aspects of our life depend on complex cyber-physical systems, automated anomaly detection, prevention and handling is a critical issue that inuence our security and quality of life. Recent catastrophic events showed that manual (human-based) handling of anomalies in complex systems is not recommended, automatic and intelligent handling being the proper approach. This paper presents, through a number of case studies, the challenges and possible solutions for implementing computer-based anomaly detection systems.

[1] V. Barnett, T. Lewis, Outliers in Statistical Data, New York: John Wiley Sons, 1994. ⇒102

[2] V. Chandola, A. Banerjee, V. Kumar, Anomaly detection: a survey, ACM Com- puting Surveys 41, 3 (2009). ⇒103, 108, 114

[3] P. Deac, M. Muste, O. Cretţ, L. Vãcariu, H. Hedesiu, A prototype for the con- tinuous and cost-effective measurement of river discharge, Proc. 2013 19th In- ternational Conference on Control Systems and Computer Science (CSCS '13), Bucureşti, Romania, 2013, pp. 628-633. ⇒111

[4] V. P. Illiano, E. C. Lupu, Detecting malicious aata injections in wireless sensor networks: a survey, ACM Computig Surveys 48, 2 (2015). ⇒103, 104

[5] I. Kiss, Security improvement techniques for networked critical infrastructures, PhD Thesis, Technical University of Cluj-Napoca, Romania, 2016. ⇒112, 113

[6] M. A. Rassam, A. Zainal, M. A. Maarof, Advancements of data anomaly detec- tion research in wireless sensor networks: a survey and open issues, Sensors 13, 8 (2013) 10087-10122. ⇒103, 104

[7] H. Sandor, Gh. Sebestyen, Optimal security design in the Internet of Things, Digital Forensic and Security (ISDFS), 2017. ⇒116

[8] Gh. Sebestyen, I. Stoica, A. Hangan, Human activity recognition and monitoring for elderly people, Proc. 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj, Romania, 2016, pp. 341-347. ⇒107

[9] Gh. Sebestyen, D. Mureşan, A. Hangan, Road quality evaluation with mobile devices, Proc. 2015 16th International Carpathian Control Conference (ICCC), Bucuresti, Romania, 2015, pp. 458-464. ⇒114

[10] L. Vãcariu, A. Hangan, O. Creţ, A. Creţu, A decision support system on the cy- berwater platform, Proc. 2017 21st International Conference on Control Systems and Computer Science (CSCS '17), Bucureşsti, Romania, 2017, pp. 591-598. ⇒ 112

[11] M. Xie, S. Han, B. Tian, S. Parvin, Anomaly detection in wireless sensor net- works:a survey, Journal of Network and Computer Applications 34, 4 (2011) 1302-1325. ⇒103, 104

[12] Y. Zhang, N. Meratnia, P. Havinga, Outlier detection techniques for wireless sensor networks: a survey, IEEE Communications Surveys and Tutorials 12, 2 (2010) 159-170. ⇒103, 104

[13] *** Rompetrol Refinery explosion,,

Acta Universitatis Sapientiae, Informatica

The Journal of "Sapientia" Hungarian University of Transylvania

Journal Information


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 89 89 26
PDF Downloads 36 36 11