Interaction found
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room
feedback://hacker-duck
How did you like the game in the background?

Anonymous. Please don't include personal data.

privacy

This site is run by Andrea Ciccotelli (info@ciccotelliandrea.it), who is the data controller.

Visit statistics

To see how many people visit and how long they stay, each page load records: the day, the time the tab stays visible, whether the device is mobile and whether the game was played. Unique visitors per day are counted with a one-way hash of your IP address and browser combined with a random value that changes every day and is then deleted, so visits cannot be linked across days. Your IP address is never stored. No cookies, no fingerprinting and no third-party analytics are used. Records are deleted after 13 months. Legal basis is legitimate interest (Art. 6(1)(f) GDPR). If your browser sends Do Not Track or Global Privacy Control, nothing is recorded.

Game feedback

If you send feedback, the rating and the text you write are stored anonymously to improve the game and forwarded to me by email. Please do not include personal data. To allow one feedback per day, your IP address is held in server memory for up to 24 hours and is never written to the database. Ask by email to have an entry removed.

Contact form

The name, email and message you send are delivered to me by email and used only to reply (Art. 6(1)(b) and (f) GDPR).

On your device

A session cookie protects the forms against cross-site requests. Your theme choice and game progress are kept in your browser's local storage and never leave your device.

Third parties

Fonts are loaded from Google Fonts and the 3D engine from jsDelivr, so those services see your IP address when your browser downloads the files.

Your rights

You can ask for access to, correction or deletion of your data, or object to its processing, by writing to info@ciccotelliandrea.it. You may also complain to your data protection authority.

Access from desktop for a better experience.

Andrea Ciccotelli

PhD Student in Computer Science

CRI-Lab Research Group · King Abdullah University of Science and Technology (KAUST)

I break and defend the systems where software meets the physical world. I am a Ph.D. candidate in Cybersecurity at KAUST, working at the crossroads of systems security, cyber-physical systems and applied machine learning, with a focus on hardware-borne attacks like BadUSB and on the security of IoT and industrial devices. My first-author work NoBU (ACM AsiaCCS 2025) won the 2nd Best Paper Award at CSAW'25 MENA. Before the Ph.D. I spent 3+ years in industry, running automotive security assessments for ZF at Capgemini and building ML pipelines on multimodal sensor data. I build what I study, and my research platforms run on custom ESP32 and Raspberry Pi hardware.

Research interests

  • Cyber-Physical System Security
  • Side-Channel Analysis
  • Fingerprinting & Privacy
  • Advanced Cryptographic Protocols
  • Industrial Control Systems

Beyond research

  • Maker & DIYBuilding things by hand, from electronics to 3D-printed parts
  • AutomationFrom home automation to scripting away repetitive workflows
  • Game & VR developmentInteractive experiences built with Unity
  • Self-hostingAn Ubuntu server running my own private cloud and tool suite, so my data stays under my control
  • Side projectsPersonal projects, often outside my research area, to stay hands-on
  • Emerging technologiesA keen follower of what comes next

Now

Studying
PhD Student in Computer Science
At
King Abdullah University of Science and Technology (KAUST)