5 papers
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…