IoT Forensics with emphasis on Radar Technology

DOI

10.2991/978-94-6239-610-4_16How to use a DOI?

Keywords

IoT Forensics; Radar Technology; mm Wave; Ultrawideband; Micro Doppler; Digital Evidence; Bharatiya Sakshya Adhiniyam

Abstract

Radar enabled IoT devices are becoming common in homes, vehicles, and public areas, creating a new form of forensic evidence: continuous, unintentionally generated RF patterns that reveal presence, movement, and even physiological signals. This paper proposes a radar focused IoT forensics approach that explains how investigators can locate relevant sensors, acquire their data, and understand the RF traces they generate.

The document outlines how chirps, micro Doppler phenomena, and MIMO arrays empower mm Wave and UWB sensors to detect intricate human patterns such as walking, movements, and respiration[2]. It evaluates significant radar systems, including Google Soli, automotive ADAS radars, Wi-Fi CSI based sensing, and industrial mm Wave units, while addressing challenges such as proprietary data formats, limited local storage capacity, and dependence on cloud based services[4][5][10].

The paper presents a range of forensic approaches for analysing radar data, including I/Q signal capture, point cloud examination, and activity based analysis, alongside cross validation with additional sensors[36]. It discusses methods such as spectrogram inspection, reconstruction of gait and gestures, and deep learning–based activity recognition, as well as data fusion with optical and Wi-Fi sources. The study also considers anti forensic challenges like jamming and spoofing, highlighting potential signs of manipulation, including abnormal motion patterns and atypical spectral characteristics[11][32].

The paper concludes by evaluating how radar derived evidence aligns with IEA and BSB legal standards and how investigators can adopt it responsibly, in a manner comparable to data from wearable devices or vehicle event data recorders. As environments become increasingly “radiologically active,” radar sensors are positioned to function as unobtrusive witnesses, providing a robust scientific and practical foundation for contemporary digital forensics.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Syed Fazal Mehdi Moosvi
PY  - 2026
DA  - 2026/05/05
TI  - IoT Forensics with emphasis on Radar Technology
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 148
EP  - 163
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_16
DO  - 10.2991/978-94-6239-610-4_16
ID  - Moosvi2026
ER  -