{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-iot-endpoint-system-on-chip-for-secure-and","title":"An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics","arxiv_id":"1612.05974","date":"2016-12-18","proceeding":null,"authors":["Francesco Conti","Robert Schilling","Pasquale Davide Schiavone","Antonio Pullini","Davide Rossi","Frank Kagan Gürkaynak","Michael Muehlberghuber","Michael Gautschi","Igor Loi","Germain Haugou","Stefan Mangard","Luca Benini"],"abstract":"Near-sensor data analytics is a promising direction for IoT endpoints, as it\nminimizes energy spent on communication and reduces network load - but it also\nposes security concerns, as valuable data is stored or sent over the network at\nvarious stages of the analytics pipeline. Using encryption to protect sensitive\ndata at the boundary of the on-chip analytics engine is a way to address data\nsecurity issues. To cope with the combined workload of analytics and encryption\nin a tight power envelope, we propose Fulmine, a System-on-Chip based on a\ntightly-coupled multi-core cluster augmented with specialized blocks for\ncompute-intensive data processing and encryption functions, supporting software\nprogrammability for regular computing tasks. The Fulmine SoC, fabricated in\n65nm technology, consumes less than 20mW on average at 0.8V achieving an\nefficiency of up to 70pJ/B in encryption, 50pJ/px in convolution, or up to\n25MIPS/mW in software. As a strong argument for real-life flexible application\nof our platform, we show experimental results for three secure analytics use\ncases: secure autonomous aerial surveillance with a state-of-the-art deep CNN\nconsuming 3.16pJ per equivalent RISC op; local CNN-based face detection with\nsecured remote recognition in 5.74pJ/op; and seizure detection with encrypted\ndata collection from EEG within 12.7pJ/op.","url_abs":"http://arxiv.org/abs/1612.05974v3","url_pdf":"http://arxiv.org/pdf/1612.05974v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-iot-endpoint-system-on-chip-for-secure-and","repo_url":"https://github.com/andrire/RNNASIP-pulpissimo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"an-iot-endpoint-system-on-chip-for-secure-and","repo_url":"https://github.com/pulp-platform/hwpe-tb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"an-iot-endpoint-system-on-chip-for-secure-and","repo_url":"https://github.com/pulp-platform/pulp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"an-iot-endpoint-system-on-chip-for-secure-and","repo_url":"https://github.com/pulp-platform/pulpissimo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"an-iot-endpoint-system-on-chip-for-secure-and","repo_url":"https://github.com/yufat48/pulpissimo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"eeg-1","task_name":"EEG"},{"task_slug":"eeg","task_name":"Electroencephalogram (EEG)"},{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"seizure-detection","task_name":"Seizure Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}