1 citations · 1 across the 12 of their papers we have counts for
12 papers
CERTIoT-6G: Continuous Cybersecurity Certification for IoT Devices in 5G/6G Networks
Evangelos Lempesis, Fabio Palmese, Hamed Haddadi +1
The massive adoption of Internet of Things (IoT) devices across critical domains such as healthcare, smart cities, industrial automation, and critical infrastructure introduces sig…
Early-Stage IoT Device Identification Using Passive Network Traffic Analysis
Alex Ciechonski, Fabio Palmese, Alessandro E. C. Redondi +1
The rapid proliferation of Internet of Things (IoT) devices introduces significant security challenges due to limited visibility and weak device-level guarantees. Accurate and time…
Zigbee vs. Matter over Thread: Understanding IoT Protocol Performance in Practice
Massimo Nobile, Fabio Palmese, Antonio Boiano +2
The widespread adoption of the Internet of Things (IoT) has positioned smart homes as paradigmatic examples of distributed automation systems, where reliability, efficiency, and in…
Lossy Compression of Network Feature Data: When Less Is Enough
Fabio Palmese, Gabriele Merlach, Damiano Ravalico +2
Network traffic analysis increasingly relies on feature-based representations to support monitoring and security in the presence of pervasive encryption. Although features are more…
Analyzing Zigbee Traffic: Datasets, Classification and Storage Trade-offs
Antonio Boiano, Dalin Zheng, Fabio Palmese +2
Zigbee is widely used in smart home environments due to its low power consumption and support for mesh networking, making it a relevant target for traffic-based IoT forensic analys…
Lossy Compression of Cellular Network KPIs
Andrea Pimpinella, Fabio Palmese, Alessandro E. C. Redondi
Network Key Performance Indicators (KPIs) are a fundamental component of mobile cellular network monitoring and optimization. Their massive volume, resulting from fine-grained meas…
Efficient Wi-Fi Sensing for IoT Forensics with Lossy Compression of CSI Data
Paolo Cerutti, Fabio Palmese, Marco Cominelli +1
Wi-Fi sensing is an emerging technology that uses channel state information (CSI) from ambient Wi-Fi signals to monitor human activity without the need for dedicated sensors. Wi-Fi…
Handling Large-Scale Network Flow Records: A Comparative Study on Lossy Compression
Gabriele Merlach, Damiano Ravalico, Martino Trevisan +3
Flow records, that summarize the characteristics of traffic flows, represent a practical and powerful way to monitor a network. While they already offer significant compression com…
Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
Fabio Palmese, Anna Maria Mandalari, Hamed Haddadi +1
The rapid expansion of Internet of Things (IoT) devices, particularly in smart home environments, has introduced considerable security and privacy concerns due to their persistent…
Compact Probe Request Fingerprinting with Asymmetric Pairwise Boosting
Giovanni Baccichet, Fabio Palmese, Alessandro E. C. Redondi +1
Probe Requests are Wi-Fi management frames periodically sent by devices during network discovery. Tracking Probe Requests over time offers insights into movement patterns, traffic…
Collecting Channel State Information in Wi-Fi Access Points for IoT Forensics
Fabio Palmese, Alessandro E. C. Redondi
The Internet of Things (IoT) has boomed in recent years, with an ever-growing number of connected devices and a corresponding exponential increase in network traffic. As a result,…
Feature-Sniffer: Enabling IoT Forensics in OpenWrt based Wi-Fi Access Points
Fabio Palmese, Alessandro E. C. Redondi, Matteo Cesana
The Internet of Things is in constant growth, with millions of devices used every day in our homes and workplaces to ease our lives. Such a strict coexistence between humans and sm…