The University of Southampton
Telephone:
+442380593271
Email:
l.aniello@soton.ac.uk

Dr Leonardo Aniello 

Personal homepage
  • Chair of Post graduate Research and Internship (sub-group of EREC Committee)
  • ECS PGR Senior Admissions Tutor
  • AI & Security champion of the GCHQ/EPSRC Academic Centre of Excellence for Cyber Security Education (ACE-CSE) Southampton
  • member of the management group of the ECS Centre for Internet of Things and Pervasive Systems (C-IoT)

Dr Leonardo Aniello is a Lecturer in Cyber Security in the School of Electronics and Computer Science (ECS) at the University of Southampton. He is also

  • member of the GCHQ/EPSRC Academic Centre of Excellence for Cyber Security Research (ACE-CSR) Southampton
  • AI & Security champion of the GCHQ/EPSRC Academic Centre of Excellence for Cyber Security Education (ACE-CSE) Southampton
  • member of the management group of the ECS Centre for Internet of Things and Pervasive Systems (C-IoT)

Dr Aniello obtained a Ph.D. in Engineering in Computer Science in 2014 from "La Sapienza" University of Rome, with a thesis about techniques for efficient processing Big Data in large-scale collaborative environments. His research is currently focused on distributed systems and cyber security, including adaptive resource allocation strategies, automatic scaling of distributed systems, blockchain-based systems and IoT security. He is author of more than 30 papers (h-index 13, 1092 citations, source Google Scholar), published on international conferences, journals, and books.

He started working on portscan detection and collaborative distributed computations aimed at early detection of cyber threats (106 citations in total), then focused on the distributed system aspect of computations by investigating novel techniques to enhance performance in stream and batch processing (310 citations) and to integrate elastic proactive scalability in distributed systems (47 citations). He later moved to researching on machine learning for malware analysis (158 citations) and on blockchain-based systems (351 citations).

Dr Aniello investigated the integration of blockchain technology to improve IoT security within the context of peer-to-peer energy trading. This research was carried out as part of the EPSRC project Blockchain-empowered Infrastructure for IoT (BlockIT, £195K), where he worked as Co-I. He also investigated the opportunities and challenges of using blockchain to establish and manage federations of Cloud services and resources, as part of the H2020 EU project SecUre iNFormatIon SHaring in federated heterogeneous private clouds (SUNFISH, €4.5M).

Dr Aniello was also involved as Co-I in the Cyber Predictive Intelligence for Asset-based Analytics (CyPrIAAn, £96K) project funded by the UK Defence and Security Accelerator (DASA) as part of Phase 1 of the Predictive Cyber Analytics competition. Furthermore, he is currently acting as PI for UoS in the Operational CyberspaCe Attack Modelling – Real-Time (OCCAM-RT, £180K) project, in partnership with Bristol-based company Riskaware. OCCAM-RT is funded as part of Phase 2 of the same competition. Within the OCCAM-RT project, Dr Aniello is overseeing two PDRAs. He is also supervising 9 PGR students (3 as primary supervisor and 6 as secondary). Furthermore, Dr Aniello oversaw two undergraduate students for their summer internship: one in 2018, funded by ECS and focused on generating a dataset for cyber-attacks against IoT networks; the other in 2020, funded by the National Cyber Security Centre (NCSC), around the topic of IoT fingerprinting using machine learning techniques.

Research

Research interests

Blockchain-based Systems

IoT Security

Malware Analysis

Publications

Gaetani, Edoardo, Aniello, Leonardo, Baldoni, Roberto, Lombardi, Federico, Margheri, Andrea and Sassone, Vladimiro (2017) Blockchain-based database to ensure data integrity in cloud computing environments. Italian Conference on Cybersecurity, Italy. 17 - 20 Jan 2017. 10 pp .

De Angelis, Stefano, Aniello, Leonardo, Baldoni, Roberto, Lombardi, Federico, Margheri, Andrea and Sassone, Vladimiro (2018) PBFT vs proof-of-authority: applying the CAP theorem to permissioned blockchain. Italian Conference on Cyber Security, Milan, Italy. 11 pp .

Lombardi, Federico, Aniello, Leonardo, De Angelis, Stefano, Margheri, Andrea and Sassone, Vladimiro (2018) A blockchain-based infrastructure for reliable and cost-effective IoT-aided smart grids. Living in the Internet of Things Conference: Cybersecurity of the IoT - A PETRAS, IoTUK & IET Event, Savoy Place, London, United Kingdom. 27 - 28 Mar 2018. 6 pp .

Aniello, Leonardo, Bonomi, Silvia, Lombardi, Federico, Zelli, Alessandro and Baldoni, Roberto (2014) An architecture for automatic scaling of replicated services. In Network Systems NETYS 2014. Springer. 122 pp . (doi:10.1007/978-3-319-09581-3_9).

Heinze, Thomas, Aniello, Leonardo, Querzoni, Leonardo and Jerzak, Zbigniew (2014) Tutorial: cloud-based data stream processing. In DEBS 14 : Proceedings of the 8th ACM International Conference on Distributed Event-based Systems. 8 pp . (In Press)

Lombardi, Federico, Aniello, Leonardo, Bonomi, Silvia and Querzoni, Leonardo (2018) Elastic symbiotic scaling of operators and resources in stream processing systems. IEEE Transactions on Parallel and Distributed Systems, 29 (3), 572-585. (doi:10.1109/TPDS.2017.2762683).

Lodi, Giorgia, Aniello, Leonardo, Di Luna, Giuseppe A. and Baldoni, Roberto (2014) An event-based platform for collaborative threats detection and monitoring. Information Systems, 39, 175-195. (doi:10.1016/j.is.2013.07.005).

Ucci, Daniele, Aniello, Leonardo and Baldoni, Roberto (2019) Survey of machine learning techniques for malware analysis. Computers and Security, 81, 123-147. (doi:10.1016/j.cose.2018.11.001).

Lombardi, Federico, Muti, Andrea, Aniello, Leonardo, Baldoni, Roberto, Bonomi, Silvia and Querzoni, Leonardo (2019) PASCAL: An architecture for proactive auto-scaling of distributed services. Future Generation Computer Systems, 98, 342-361. (doi:10.1016/j.future.2019.03.003).

Fadhel, Nawfal, Lombardi, Federico, Aniello, Leonardo, Margheri, Andrea and Sassone, Vladimiro (2019) Towards a semantic modelling for threat analysis of IoT applications: a case study on transactive energy. In IET Living in the Internet of Things 2019. Institute of Engineering and Technology, IET..

Lombardi, Federico, Baldoni, Roberto and Aniello, Leonardo (2016) A blockchain-based solution for enabling log-based resolution of disputes in multi-party transactions. Ciancarini, P., Litvinov, S., Messina, A., Sillitti, A. and Succi, G. (eds.) In Proceedings of 5th International Conference in Software Engineering for Defence Applications. SEDA 2016. vol. 717, Springer. pp. 53-58 . (doi:10.1007/978-3-319-70578-1_6).

Ciccotelli, Claudio, Aniello, Leonardo, Lombardi, Federico, Montanari, Luca, Querzoni, Leonardo and Baldoni, Roberto (2015) Nirvana: A non-intrusive black-box monitoring framework for rack-level fault detection. In 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing (PRDC). IEEE.. (doi:10.1109/PRDC.2015.22).

Aniello, Leonardo, Querzoni, Leonardo and Baldoni, Roberto (2015) High frequency batch-oriented computations over large sliding time windows. Future Generation Computer Systems, 43-44, 1-11. (doi:10.1016/j.future.2014.09.008).

Aniello, Leonardo, Halak, Basel, Chai, Peter, Dhall, Riddhi, Mihalea, Mircea and Wilczynski, Adrian (2020) Anti-BlUFf: towards counterfeit mitigation in IC supply chains using Blockchain and PUF. International Journal of Information Security, 445–460. (doi:10.1007/s10207-020-00513-8).

O'Sullivan, Michael, Aniello, Leonardo and Sassone, Vladimiro (2020) A methodology to select topology generators for ad hoc mesh network simulations. Journal of Communications. (In Press)

Pitolli, Gregorio, Laurenza, Giuseppe, Aniello, Leonardo, Querzoni, Leonardo and Baldoni, Roberto (2020) MalFamAware: automatic family identification and malware classification through online clustering. International Journal of Information Security. (In Press)

Yilmaz, Yildiran, Aniello, Leonardo and Halak, Basel (2020) ASSURE: A hardware-baSed SecUrity pRotocol for resourcE-constrained IoT systems. Journal of Hardware and Systems Security, 1-14. (doi:10.1007/s41635-020-00102-0). (In Press)

Dghaym, Dana, Hoang, Thai Son, Butler, Michael, Hu, Runshan, Aniello, Leonardo and Sassone, Vladimiro (2021) Verifying System-level Security of a Smart Ballot Box. In ABZ 2021 – 8th International Conference on Rigorous State Based Methods: ABZ 2021. Springer Nature Switzerland AG. 16 pp . (In Press)

Aniello, Leonardo, Halak, Basel, Chai, Peter, Dhall, Riddhi, Mihalea, Mircea and Wilczynski, Adrian (2021) Securing Hardware Supply Chain Using PUF. In, Halak, Basel (ed.) Authentication of Embedded Devices: Technologies, Protocols and Emerging Applications. Springer.

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