74 citations · 249 across the 16 of their papers we have counts for
18 papers
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
Saeif Alhazbi, Ahmed Mohamed Hussain, Gabriele Oligeri +1
As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or bein…
Watch Nearby! Privacy Analysis of the People Nearby Service of Telegram
Maurantonio Caprolu, Savio Sciancalepore, Aleksandar Grigorov +2
People Nearby is a service offered by Telegram that allows a user to discover other Telegram users, based only on geographical proximity. Nearby users are reported with a rough est…
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Saeif Al-Hazbi, Ahmed Hussain, Savio Sciancalepore +2
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufactur…
MITRE ATT&CK: State of the Art and Way Forward
Bader Al-Sada, Alireza Sadighian, Gabriele Oligeri
MITRE ATT&CK is a comprehensive framework of adversary tactics, techniques and procedures based on real-world observations. It has been used as a foundation for threat modelling in…
False Data Injection Attacks in Smart Grids: State of the Art and Way Forward
Muhammad Irfan, Alireza Sadighian, Adeen Tanveer +2
In the recent years cyberattacks to smart grids are becoming more frequent Among the many malicious activities that can be launched against smart grids False Data Injection FDI att…
Jamming Detection in Low-BER Mobile Indoor Scenarios via Deep Learning
Savio Sciancalepore, Fabrice Kusters, Nada Khaled Abdelhadi +1
The current state of the art on jamming detection relies on link-layer metrics. A few examples are the bit-error-rate (BER), the packet delivery ratio, the throughput, and the incr…
The Day-After-Tomorrow: On the Performance of Radio Fingerprinting over Time
Saeif Alhazbi, Savio Sciancalepore, Gabriele Oligeri
The performance of Radio Frequency (RF) Fingerprinting (RFF) techniques is negatively impacted when the training data is not temporally close to the testing data. This can limit th…
KaFHCa: Key-establishment via Frequency Hopping Collisions
Muhammad Usman, Simone Raponi, Marwa Qaraqe +1
The massive deployment of IoT devices being utilized by home automation, industrial and military scenarios demands for high security and privacy standards to be achieved through in…
PAST-AI: Physical-layer Authentication of Satellite Transmitters via Deep Learning
Gabriele Oligeri, Simone Raponi, Savio Sciancalepore +1
Physical-layer security is regaining traction in the research community, due to the performance boost introduced by deep learning classification algorithms. This is particularly tr…
The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services
Ahmed Mohamed Hussain, Gabriele Oligeri, Thiemo Voigt
We present a new machine learning-based attack that exploits network patterns to detect the presence of smart IoT devices and running services in the WiFi radio spectrum. We perfor…
Long-Term Noise Characterization of Narrowband Power Line Communications
Simone Raponi, Javier Hernandez, Aymen Omri +1
Noise modeling in power line communications has recently drawn the attention of researchers. However, when characterizing the noise process in narrowband communications, previous w…
GNSS Spoofing Detection via Opportunistic IRIDIUM Signals
Gabriele Oligeri, Savio Sciancalepore, Roberto Di Pietro
In this paper, we study the privately-own IRIDIUM satellite constellation, to provide a location service that is independent of the GNSS. In particular, we apply our findings to pr…
Sound of Guns: Digital Forensics of Gun Audio Samples meets Artificial Intelligence
Simone Raponi, Isra Ali, Gabriele Oligeri
Classifying a weapon based on its muzzle blast is a challenging task that has significant applications in various security and military fields. Most of the existing works rely on a…
Road Traffic Poisoning of Navigation Apps: Threats and Countermeasures
Simone Raponi, Savio Sciancalepore, Gabriele Oligeri +1
Assisted-navigation applications have a relevant impact on our daily life. However, technological progress in virtualization technologies and Software-Defined Radios recently enabl…
Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection
Maurantonio Caprolu, Simone Raponi, Gabriele Oligeri +1
A new cybersecurity attack,where an adversary illicitly runs crypto-mining software over the devices of unaware users, is emerging in both the literature and in the wild . This att…
BrokenStrokes: On the (in)Security of Wireless Keyboards
Gabriele Oligeri, Savio Sciancalepore, Simone Raponi +1
Wireless devices resorting to event-triggered communications have been proved to suffer critical privacy issues, due to the intrinsic leakage associated with radio-frequency (RF) e…
PiNcH: an Effective, Efficient, and Robust Solution to Drone Detection via Network Traffic Analysis
Savio Sciancalepore, Omar Adel Ibrahim, Gabriele Oligeri +1
We propose PiNcH, a methodology to detect the presence of a drone, its current status, and its movements by leveraging just the communication traffic exchanged between the drone an…
Silence is Golden: exploiting jamming and radio silence to communicate
Roberto Di Pietro, Gabriele Oligeri
Jamming techniques require just moderate resources to be deployed, while their effectiveness in disrupting communications is unprecedented. In this paper we introduce several contr…