Ερευνητικό Προσωπικό
Κοτσιλίτης Σαράντης
Προσωπικά Στοιχεία
Κοτσιλίτης Σαράντης
skotsilitis [at] aegean [dot] gr
Copyright Notice: Το υλικό αυτό παρουσιάζεται για έγκαιρη διάδοση επιστημονικής και τεχνικής εργασίας. Τα πνευματικά δικαιώματα και όλα τα σχετικά δικαιώματα παραμένουν στους συγγραφείς ή σε άλλους κατόχους πνευματικών δικαιωμάτων. Όσοι αντιγράφουν αυτές τις πληροφορίες αναμένεται να τηρούν τους όρους και τους περιορισμούς που επιβάλλει το πνευματικό δικαίωμα κάθε συγγραφέα. Στις περισσότερες περιπτώσεις, τα έργα αυτά δεν μπορούν να αναδημοσιευτούν ή να αναπαραχθούν μαζικά χωρίς τη ρητή άδεια του κατόχου των πνευματικών δικαιωμάτων.
Επιστημονικά Συνέδρια
S. Kotsilitis, E. C. Marcoulaki, E. Kalligeros, "High frequency energy disaggregation sampling and analysis towards predictive maintenance applications", European Safety and Reliability Conference (ESREL), pp. 1214-1221, Sep, 2019, http://itekcmsonline.com/rps2prod/esrel2...
Περίληψη:
This paper presents the progress of PREDIVIS project, on the development of a novel energy disaggregation hardware/software tool towards energy efficiency and predictive maintenance. The PREDIVIS project involves the use of an edge-cloud hybrid computing architecture, hardware accelerated algorithms, machine/deep learning, and big data approaches for the analysis of high frequency electrical loads. The project will deliver an advanced and innovative solution for energy disaggregation intended for industrial applications, commercial buildings and households. A main scope of the project is to address the problem of predictive maintenance by providing a cost-efficient solution with industry 4.0 features.
This paper presents the progress of PREDIVIS project, on the development of a novel energy disaggregation hardware/software tool towards energy efficiency and predictive maintenance. The PREDIVIS project involves the use of an edge-cloud hybrid computing architecture, hardware accelerated algorithms, machine/deep learning, and big data approaches for the analysis of high frequency electrical loads. The project will deliver an advanced and innovative solution for energy disaggregation intended for industrial applications, commercial buildings and households. A main scope of the project is to address the problem of predictive maintenance by providing a cost-efficient solution with industry 4.0 features.
[1]
S. Kotsilitis, E. C. Marcoulaki, E. Kalligeros, Y. Mousmoulas, "Distributed edge computing paradigm with dedicated devices for energy efficiency and predictive maintenance applications", International Conference on Industrial Internet of Things and Smart Manufacturing (IoTsm), Sep, 2018
[2]
S. Kotsilitis, E. C. Marcoulaki, E. Kalligeros, Y. Mousmoulas, "Energy Efficiency and Predictive Maintenance Applications Using Smart Energy Measuring Devices", European Safety and Reliability Conference (ESREL), Jun, 2018
M. Anagnostopoulos, G. Kambourakis, P. Drakatos, M. Karavolos, S. Kotsilitis, D. K. Y. Yau, Botnet command and control architectures revisited: Tor Hidden services and Fluxing, The 18th International Conference on Web Information Systems Engineering (WISE 2017), pp. 517-527, Oct, 2017, Moscow, Russia, Springer LNCS Vol. 10570, http://www.wise-conferences.org/
Περίληψη:
Botnet armies constitute a major and continuous threat to the Internet. Their number, diversity, and power grows with each passing day, and the last years we are witnessing their rapid expansion to mobile and even IoT devices. The work at hand focuses on botnets which comprise mobile devices (e.g. smartphones), and aims to raise the alarm on a couple of advanced Command and Control (C&C) architectures that capitalize on Tor's hidden services (HS) and DNS protocol. Via the use of such architectures, the goal of the perpetrator is dual; first to further obfuscate their identity and minimize the botnet's forensic signal, and second to augment the resilience of their army. The novelty of the introduced architectures is that it does not rely on static C&C servers, but on rotating ones, which can be reached by other botnet members through their (varied) onion address. Also, we propose a scheme called "Tor fluxing", which opposite to legacy IP or DNS fluxing, does not rely on A type of DNS resource records but on TXT ones. We demonstrate the soundness and effectiveness of the introduced C&C constructions via a proof-of-concept implementation, and suggest possible remedies.
Botnet armies constitute a major and continuous threat to the Internet. Their number, diversity, and power grows with each passing day, and the last years we are witnessing their rapid expansion to mobile and even IoT devices. The work at hand focuses on botnets which comprise mobile devices (e.g. smartphones), and aims to raise the alarm on a couple of advanced Command and Control (C&C) architectures that capitalize on Tor's hidden services (HS) and DNS protocol. Via the use of such architectures, the goal of the perpetrator is dual; first to further obfuscate their identity and minimize the botnet's forensic signal, and second to augment the resilience of their army. The novelty of the introduced architectures is that it does not rely on static C&C servers, but on rotating ones, which can be reached by other botnet members through their (varied) onion address. Also, we propose a scheme called "Tor fluxing", which opposite to legacy IP or DNS fluxing, does not rely on A type of DNS resource records but on TXT ones. We demonstrate the soundness and effectiveness of the introduced C&C constructions via a proof-of-concept implementation, and suggest possible remedies.