Information cascade; Semantic textual similarity; Image similarity; Deep learning

Kasnesis, Panagiotis, Heartfield, Ryan, Liang, Xing, Toumanidis, Lazaros, Sakellari, Georgia ORCID: https://orcid.org/0000-0001-7238-8700, Patrikakis, Charalampos and Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182 (2021) Transformer-based identification of stochastic information cascades in social networks using text and image similarity. Applied Soft Computing, 108:107413. ISSN 1568-4946 (doi:10.1016/j.asoc.2021.107413)

Information trustworthiness, information cascade

Kasnesis, Panagiotis, Heartfield, Ryan, Toumanidis, Lazaros, Liang, Xing, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182 and Patrikakis, Charalampos Z. (2020) A prototype deep learning paraphrase identification service for discovering information cascades in social networks. In: IEEE International Conference on Multimedia and Expo. IEEE, pp. 1-4. ISBN 978-1728114859 (doi:10.1109/ICMEW46912.2020.9106044)

Internet of Things, Security, Psychology

Heartfield, Ryan, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Budimir, Sanja, Bezemskij, Anatolij, Fontaine, Johnny R. J., Filippoupolitis, Avgoustinos and Roesch, Etienne (2018) A taxonomy of cyber-physical threats and impact in the smart home. Computers and Security, 78. pp. 398-428. ISSN 0167-4048 (doi:10.1016/j.cose.2018.07.011)

Social engineering attacks; computer security; semantic attacks; Human-as-a-Security-Sensor;

Heartfield, Ryan John (2017) Utilising the concept of human-as-a-security-sensor for detecting semantic social engineering attacks. PhD thesis, University of Greenwich.

Virtual Reality; cyber-physical attacks; cyber security; privacy taxonomy

Odeleye, Blessing, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Heartfield, Ryan, Sakellari, Georgia ORCID: https://orcid.org/0000-0001-7238-8700, Panaousis, Emmanouil ORCID: https://orcid.org/0000-0001-7306-4062 and Spyridonis, Fotios (2022) Virtually secure: a taxonomic assessment of cybersecurity challenges in virtual reality environments. Computers and Security, 124:102951. ISSN 0167-4048 (doi:10.1016/j.cose.2022.102951)

Virtual reality, cyber security, intrusion detection

Odeleye, Blessing, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Heartfield, Ryan and Spyridonis, Fotios ORCID: https://orcid.org/0000-0003-4253-365X (2021) Detecting framerate-oriented cyber attacks on user experience in virtual reality. In: VR4Sec: 1st International Workshop on Security for XR and XR for Security. VR4Sec.

blockchain, crowdsourcing, cyber security

Kogias, Dimitrios, Leligou, Helen-Catherine, Xevgenis, Michael, Polychronaki, Maria, Katsadouros, Evangelos, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Heartfield, Ryan and Patrikakis, Charalampos Z. (2019) Towards a blockchain-enabled crowdsourcing platform. IT Professional, 21 (5). pp. 18-25. ISSN 1520-9202 (Print), 1941-045X (Online) (doi:10.1109/MITP.2019.2929503)

cyber security, Internet of Things, smart homes, reinforcement learning

Heartfield, Ryan, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Bezemskij, Anatolij ORCID: https://orcid.org/0000-0002-6211-1609 and Panaousis, Emmanouil ORCID: https://orcid.org/0000-0001-7306-4062 (2020) Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning. IEEE Transactions on Information Forensics & Security. ISSN 1556-6013 (Print), 1556-6021 (Online)

cyber security, smart homes, applied psychology

Budimir, Sanja, Fontaine, Johnny R.J., Huijts, Nicole M.A., Haans, Antal, IJsselsteijn, Wijnand, Oostveen, Anne-Marie, Stahl, Frederic, Heartfield, Ryan, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Bezemskij, Anatolij ORCID: https://orcid.org/0000-0002-6211-1609, Filippoupolitis, Avgoustinos, Ras, Ivano and Roesch, Etienne B. (2024) We are not equipped to identify the first signs of cyber-physical attacks: emotional reactions to cybersecurity breaches on domestic Internet of Things devices. Applied Sciences. ISSN 2076-3417 (Online) (In Press)