Deep Reinforcement Learning in Cloud Elasticity through Offline Learning and Return Based Scaling
Author(s): Miltiadis Chrysopoulos, Ioannis Konstantinou, Nectarios Koziris
Published in: 2023
Publisher: IEEE
On Strengthening SMEs and MEs Threat Intelligence and Awareness by Identifying Data Breaches, Stolen Credentials and Illegal Activities on the Dark Web
Author(s): George Pantelis; Petros Petrou; Sophia Karagiorgou; Dimitrios Alexandrou
Published in: ARES 2021: The 16th International Conference on Availability, Reliability and Security, 1-7, 2021
Publisher: ACM
A Holistic Framework for Safeguarding of SMEs: A Case Study
Author(s): Nefeli Bountouni; Sotiris Koussouris; Alexandros Vasileiou; Stylianos A. Kazazis
Published in: 1, 2023
Publisher: IEEE
ReScan: A Middleware Framework for Realistic and Robust Black-box Web Application Scanning
Author(s): Kostas Drakonakis, Sotiris Ioannidis, Jason Polakis
Published in: Proceedings 2023 Network and Distributed System Security Symposium, 2023, ISBN 1891562835
Publisher: NDSS Symposium
Continuous Security Assurance of Modern Supply-Chain Ecosystems with Application in Autonomous Driving
Author(s): George Hatzivasilis; Sotiris Ioannidis; Grigoris Kalogiannis; Manolis Chatzimpyrros; George Spanoudakis; Guillermo Jiménez Prieto; Araceli Rojas Morgan; Miguel Juaniz Lopez; Cataldo Basile; Jose Francisco Ruiz Published in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023 Publisher: IEEE
BinWrap: Hybrid Protection against Native Node.js Add-ons
Author(s): Christou, G., Ntousakis, G., Lahtinen, E., Ioannidis, S., Kemerlis, V. P., & Vasilakis, N.
Published in: ASIA CCS '23: Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
Publisher: Association for Computing Machinery
Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection
Author(s): Anis Bouaziz; Manh-Dung Nguyen; Valeria Valdés ; Ana Cavalli and Wissam Mallouli
Published in: 2023
Publisher: Scitepress
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
Author(s): Alexander Shevtsov;Christos Tzagkarakis;Despoina Antonakaki;Sotiris Ioannidis
Published in: Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Publisher: AAAI Press
A deep learning anomaly detection framework with explainability and robustness
Author(s): MD Nguyen, A Bouaziz, V Valdes, A Rosa Cavalli, W Mallouli, E Montes De Oca Published in: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023 Publisher: Association for Computing Machinery
Towards 5G Embedded Trust: Integrating Attestation Extensions in Vertical Industries
Author(s): Thanassis Giannetsos; Dimitris Papamartzivanos; Sofia Anna Menesidou; Sophia Karagiorgou
Published in: Proceedings of 30th European Conference on Networks and Communications, 1, 2021
Publisher: IEEE
Discovery and classification of Twitter bots
Author(s): Alexander Shevtsov; Maria Oikonomidou; Despoina Antonakaki; Polyvios Pratikakis; Alexandros Kanterakis; Paraskevi Fragopoulou; Sotiris Ioannidis
Published in: SN Computer Science, 1, 2022, ISSN 2661-8907
Publisher: Springer Nature
Explainable machine learning pipeline for Twitter bot detection during the 2020 US Presidential Elections
Author(s): Alexander Shevtsov; Christos Tzagkarakis;Despoina Antonakaki;Sotiris Ioannidis
Published in: Software Impacts, 13,100333, 2022, ISSN 2665-9638
Publisher: Elsevier B.V
Twitter Dataset on the Russo-Ukrainian War
Author(s): Shevtsov, Alexander; Tzagkarakis, Christos; Antonakaki, Despoina; Pratikakis, Polyvios; Ioannidis, Sotiris
Published in: 1, 2022
Publisher: Cornell University
Datasets via OpenAIRE (1) Twitter Dataset on the Russo-Ukrainian War
Author(s): Alexander Shevtsov; Despoina Antonakaki; Ioannis Lamprou; Sotiris Ioannidis
Published in: Zenodo
