Cybersec and Research - A cool description might be something like:
"a place where I post about my research and share resources".
You can find more articles in my Personal Blog.
Sep 02, 2023 • dfir
An introductory exploration of Cryptocurrency Investigation and Forensics, with a demo on a
real-world RaaS case.
Oct 21, 2022 • cryptography,
dfir
An overview about Visual Cryptography and implementations of the main state-of-the-art techniques in
the VCrytpure open source project.
Sep 23, 2022 • web,
hardening
WebSocket security aspects and a simple PoC about adding a ticket-based authentication layer in a
WebSocket server.
I am a PhD Student of the first National PhD in Cybersecurity at IMT School
for Advanced Studies Lucca, assigned at the University of Catania, where I joined the Network and Security Informatics
(NaS.Inf) research lab.
I hold a Master's degree in Computer Science (Network and Security Systems) from the
University of Catania. My Master's thesis focused on cybersecurity risks in modern
vehicles.
Before starting my doctorate programme, I worked as a Research Fellow at the Italian
Institute for Astrophysics (INAF) for 2 years.
My research interests cover the CySec and Privacy Risk Assessment, Threat Modelling,
Digital Forensics and Incident Response, and Cyber Threat Intelligence fields.
Jul 2023-Jul 2023
Summer School - IFOSS
PhD Student. International FOrensics Summer School (IFOSS) 2023 Edition - Digitalisation and forensic data science: from evidence acquisition to interpretation.
Mar 2020–May 2020
Internship - INAF-OACT
Trainee. REST-ful APIs and Web service implementation for the EOSC cloud as part of H2020 NEANIAS.
Feb 2019–ongoing
Community Collaboration - Rev3rse Security
Blog Writer - Admin. Technical ICT Security blogging on research, proof-of-concepts and tutorials.
2022–ongoing
PhD Degree - IMT School
for Advanced Studies Lucca, assigned at DMI.UNICT,
Italy.
PhD-CySec - National PhD in Cybersecurity - Software, System, and Infrastructure Security, EQF 8
2018–2020
Master's Degree - DMI.UNICT, Italy.
LM-18 - 2nd level degree in Computer Science - Network and Security Systems, EQF 7
The full list is available on my ORCID profile.
Raciti M. and Bella G. (In press.)
Up-to-date
Threat Modelling for Soft Privacy on Smart
Cars.
In 7th International Workshop on SECurity and Privacy Requirements
Engineering (SECPRE 2023).
Raciti M. and Bella G. (Jul 2023)
A
Threat Model
for Soft Privacy on Smart Cars.
In 2023 IEEE European Symposium on Security and Privacy Workshops
(EuroS&PW).
Raciti M. and Bella G. (Apr 2023)
How to Model
Privacy Threats in the Automotive
Domain.
In Proceedings of the 9th International Conference on Vehicle Technology and
Intelligent Transport Systems (VEHITS 2023).
Bella G. et al. (Feb 2023)
The AILA
Methodology for Automated and Intelligent
Likelihood Assignment in Risk Assessment.
In IEEE Access.
Bella G. et al. (Aug 2022)
The AILA
Methodology for Automated
and Intelligent Likelihood Assignment.
In 6th International Conference on Cryptography, Security and Privacy
(CSP).
Raciti M. (Jun 2022)
The TMSS project for LOFAR 2.0 operations.
Poster in Forum della Ricerca Sperimentale e Tecnologica in INAF
(2022).
Raciti M., Vitello F. R. (Mar 2022)
WebSocket Integration in Django.
INAF Technical Reports.
(Jul 2023) A Threat Model for
Soft Privacy on Smart Cars.
Second Workshop on Automotive Cybersecurity 2023 (Workshop).
Slides are available here.
(Mar 2023) Subjectivity and Automation in Privacy Risk Assessment.
Hardening Seven 2023 Edition (Workshop).
Slides are available here.
(Dec 2022) Risk
assessement with AILA: Automated and Intelligent Likelihood Assignment. The
2022 Workshop on Security Frameworks "Security Testing" (Workshop).
Slides are available here.
(Jun 2022) The TMSS project for LOFAR 2.0 operations. Forum della
Ricerca Sperimentale e Tecnologica in INAF (INAF Event).
Slides are available here.
(Jun 2022) Science Gateways
in
EOSC: The NEANIAS Visualisation
Gateway. 14th International Workshop on Science Gateways (Workshop).
Slides are available here.
(May 2022) The advantages of
Notebooks orbiting the Cloud. From Science Gateways to Papers (Workshop).
Slides are available here.
(Dec 2020) AUtomotive Risk
Assessment. 3 anni di Rev3rse Security (YT
Live).
Slides are available here.
You can find full code and related docs on my Github profile.
アマヤラ (Android Malware Analysis YARA) Lab is a project that provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules. It automatically analyses files with your YARA rules and stores the results in a JSON file. YARA rules are checked against both the APK file itself and its content (recursively). アマヤラ Lab also gathers some information about the file(s) that you want to analyse from the Virus Total and Malware Bazaar APIs, using your own API keys. Eventually, The results include a link to Pithus which is valid only if the file was already uploaded.
AURA (AUtomotive Risk Assessment) is the name of my Master's thesis. In this work we propose a Risk Assessment exercise applied to an automotive scenario, according to the MAGERIT methodology and with the support of the PILAR commercial tool, in order to seek whether both of them may prove to be useful in the automotive field, with specific attention paid to potential threats against personal data en route from/to connected vehicles. Moreover, we also provide a regression analysis study of the algorithm implemented in Pilar for the purposes of reverse engineering, to better understand the values calculated by the tool in the demo.
VCrypture is an online service that allows you to encrypt your secret images safely using visual cryptographic algorithms. VCrypture is composed of two mainly parts: VCrypture-API and VCrypture-Web. The latter is a web server which provides the front-end as well as forwarding users' requests to the API core, whilst the former aims to perform visual cryptographic operations on images. The user can choose between four visual cryptographic algorithms: Naor-Shamir, Taghaddos-Latif, Dhiman-Kasana EVCT(N, N) and Dhiman-Kasana EVCT(K, N).
The Dynamic Source Routing (DSR) protocol is an example of reactive routing protocol for MANET networks. To work properly, DSR requires nodes to collaborate without maliciously inhibiting routing operations. In this scientific paper we present DSR Bad, a modification of the DSR module present in the ns-3 simulator, through which we aim to study and analyze two examples of non-cooperative scenarios that allow us to observe the impact suffered by the protocol and its reaction to situations not normally foreseen.
QueKey is the name of my Bachelor's thesis. The project is a cloud system for IoT Smart Lock devices placed in hotels and B&Bs. Its aim is, on the one hand, to make easy the handling of rooms and builds for the hotel managers and, on the other side, to give to their guests an easy way to lock and unlock rooms. QueKey consts of a main cloud service and of two physical devices: a RaspberryPi 3 (also other little boards are compatible with the system) and a NodeMCU with ESP8266 WiFi module.
FIAR (Four-In-A-Row) is an online multiplayer game, with a vaporwave futuristic design inspired. Developed using NodeJS (Express & Socket.IO with rooms handling) and p5.js library (Processing based). FIAR can be played on Desktops, Tablets and Smartphones, thanks to its responsive design. Indeed the canvas containing the game is created in order to fit most of the display sizes.
Please feel free to contact me for any questions.
Don't forget to follow me on socials! I actively post cybersecurity news and
resources.