Critical Infrastructure

Critical Infrastructure (CI) can be considered an asset, a facility, equipment, a network or a system, or a part of an asset, a facility, equipment, a network or a system, which is necessary for the provision of an essential service (EC Directive 2022/5557). Any disruption or destruction of the CI’s operation would have a significant impact on the vital societal functions of health, security, and economic or social well-being of people, and would cause cascading effects on other interdependent systems resulting in catastrophic results and long-term harmful consequences. On the other hand, the penetration of IoT and AI achievements in physical assets have transformed the nature of CIs, by alleviating the boundaries between the physical and cyber worlds. Hence, the Cyber-Physical Systems (CPS), which are the core of the current CI systems, are capable of the digital control of physical processes. However, the operation of CIs in this complex environment generates a wide spectrum of challenges and risks related to physical/natural threats, human-made and cyber malicious activities. Reducing the vulnerabilities and improving resilience of CIs have become a priority for the authorities around the globe to enhance the CIs protection and their operational continuity.

In this framework, M4D, exploiting the gained knowledge and experience from its participation in several projects in the Security domain, is aiming to develop tools enable to strengthen the surveillance capabilities of CIs and to increase the situational awareness of CIs operators. The analysis, with innovative deep-learning algorithms, of multimedia content information captured by CCTVs and UAVs, can lead to the timely detection of suspicious objects, recognition of malicious activities and unauthorized persons for their entrance in CIs premises. These outcomes can be indexed and fused semantically in order to assist in the estimation of the severity level of a potential attack to CIs premises, serving the needs for real-time monitoring and mitigating the risk.

PROJECTS

PUBLICATIONS

  1. G. Antzoulatos, G. Orfanidis, P. Giannakeris, G. Tzanetis, G. Stathopoulos, N. Kopalidis, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Severity level assessment from semantically fused video content analysis for physical threat detection in ground segments of space systems.", in Proceedings of the 2nd International Workshop on Cyber-Physical Security for Critical Infrastructures Protection (CPS4CIP 2021), 4-8 October 2021. OPEN ACCESS
  2. N. Mengidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Cybersecurity in Next Generation Energy Grids: Challenges and Opportunities for Blockchain and AI Technologies.", in Digital Transformation, Cyber Security and Resilience of Modern Societies, T. Tagarev, K. T. Atanassov, V. Kharchenko, and J. Kacprzyk, Eds., Studies in Big Data, vol 84. Springer, Cham, pp. 299-314. DOI:https://doi.org/10.1007/978-3-030-65722-2_18 OPEN ACCESS
  3. G. Orfanidis, K. Ioannidis, A. Tefas, S. Vrochidis, I. Kompatsiaris, "A modified Single-Shot multibox Detector for beyond Real-Time Object Detection.", in Proceedings of the 25th International Conference on Pattern Recognition, (ICPR 2020), Milan, Italy, 10 & 15 January 2021.
  4. L. Wen, P. Zhu, D. Du, X. Bian, H. Ling, Q. Hu, C. Liu, H. Cheng, X. Liu, W. Ma, Q. Nie, H. Wu, L. Wang, A. G. Perera, B. Zhang, B. Heo, C. Liu, Do. Li, E. Michail, H. Chen, H. Liu, H. Li, I. Kompatsiaris, J. Cheng, J. Fan, J. Zhang, J. Y. Choi, J. Li, J. Yang, J. Choi, J. Zhao, J. Han, K. Zhang, K. Duan, K. Song, K. Avgerinakis, K. Lee, L. Ding, M. Lauer, P. G., P. Zhang, Q. Wang, Q. Xu, Q. Huang, Q. Liu, R. Laganire, R. Zhang, S. Yun, S. Zhu, S. Wu, S. Vrochidis, W. Tian, W. Zhang, W. Chen, W. Hu, W. Wang, W. Zhang, W. Ding, Xi. He, X. Li, X. Zhang, X. Luo, X. Hu, Y. Meng, Y. Kuai, Y. Zhao, Y. Li, Y. Yang, Y. Zhang, Y. Wang, Y. Qi, Z. Deng, and Z. He,“VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results”, In Proceedings of the European Conference on Computer Vision (ECCV). 2018.
  5. P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, H. Wu, L. Wang, A. Schumann, C. Brown, C. Qian, C. Li, D. Li, E. Michail, F. Zhang, F. Ni, F. Zhu, G. Wang, H. Zhang, H. Deng, H. Liu, H. Wang, H. Qiu, H. Qi, H. Shi, H. Li, H. Xu, H. Lin, I. Kompatsiaris, J. Cheng, J. Wang, J. Yang, J. Zhou, J. Zhao, KJ. Joseph, K. Duan, K. Suresh, K. Bo, K. Wang, K. Avgerinakis, L. Sommer, L. Zhang, L. Yang, L. Cheng, L. Ma, L. Lu, L. Ding, M. Huang, N. K. Vedurupaka, N. Mamgain, N. Bansal, O. Acatay, P. Giannakeris, Q. Wang, Q. Zhao, Q. Huang, Q. Liu, Q. Cheng, Q. Sun, R. Laganire, S. Jiang, S. Wang, S. Wei, S. Wang, S. Vrochidis, S. Wang, T. Lee, U. Sajid, V. N. Balasubramanian, W. Li, W. Zhang, W. Wu, W. Ma, W. He, W. Yang, X. Chen, X. Sun, X. Luo, X. Lian, X. Li, Y. Kuai, Y. Li, Y. Luo, Y. Zhang, Y. Liu, Y. Li, Y. Wang, Y. Wang, Y. Wu, Y. Fan, Y. Wei, Y. Zhang, Z. Wang, Z. Wang, Z. Xia, Z. Cui, Z. He, Z. Deng, Z. Guo and Z. Song,“Visdrone-det2018: The vision meets drone object detection in image challenge results”, in Proceedings of the European Conference on Computer Vision (ECCV). 2018.
  6. P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, H. Wu, Q. Nie, H. Cheng, C. Liu, X. Liu, W. Ma, L. Wang, A. Schumann, D. Wang, D. Ortego, E. Luna, E. Michail, E. Bochinski, F. Ni, F. Bunyak, G. Zhang, G. Seetharaman, G. Li, H. Yu, I. Kompatsiaris, J. Zhao, J. Gao, J. M. Martinez, J. C. San Miguel, K. Palaniappan, K. Avgerinakis, L. Sommer, M. Lauer, M. Liu, N. M. Al-Shakarji, O. Acatay, P. Giannakeris, Q. Zhao, Q. Ma, Q. Huang, S. Vrochidis, T. Sikora, T. Senst, W. Song, W. Tian, W. Zhang, Y. Zhao, Y. Bai, Y. Wu, Y. Wang, Y. Li, Z. Pi and Z. Ma,“VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results”, in Proceedings of the European Conference on Computer Vision (ECCV). 2018.
  7. P. Giannakeris, V. Kaltsa, K. Avgerinakis, A. Briassouli, S. Vrochidis and I. Kompatsiaris,"Speed Estimation and Abnormality Detection from Surveillance Cameras'', in CVPRW NVIDIA AI City Challenge, 2018.
  8. P. Giannakeris, K. Avgerinakis, A. Karakostas, S. Vrochidis and I. Kompatsiaris, "People and vehicles in danger - A fire and flood detection system in social media", in 13th Workshop on IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018), 10-12 June 2018, Zagori, Greece. OPEN ACCESS
  9. K. Avgerinakis, P. Giannakeris, A. Briassouli, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "Intelligent traffic city management from surveillance systems (CERTH-ITI)", in NVIDIA AI city challenge, IEEE Smart World, Aug. 2017, USA.