Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

Chan, Poh Yuen; Lai, Alexander I-Chi; Wu, Pei-Yuan; Wu, Ruey-Beei

doi:10.3390/s21165665

Cited by 7 publications

(12 citation statements)

References 40 publications

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“…For passive positioning systems, the AP-Sniffer network is specifically designed for positioning so the physical locations must be robust to physical tampering to ensure optimal Wi-Fi-based positioning. The method of previous studies [ 39 , 40 , 41 ], which monitors abnormal CSI waveforms, can be used by this study to detect any physical tampering with Sniffers to maintain good performance.…”

Section: Discussionmentioning

confidence: 99%

A Wi-Fi-Based Passive Indoor Positioning System via Entropy-Enhanced Deployment of Wi-Fi Sniffers

Chan

Chao

2023

Sensors

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This study presents a Wi-Fi-based passive indoor positioning system (IPS) that does not require active collaboration from the user or additional interfaces on the device-under-test (DUT). To maximise the accuracy of the IPS, the optimal deployment of Wi-Fi Sniffers in the area of interest is crucial. A modified Genetic Algorithm (GA) with an entropy-enhanced objective function is proposed to optimize the deployment. These Wi-Fi Sniffers are used to scan and collect the DUT’s Wi-Fi received signal strength indicators (RSSIs) as Wi-Fi fingerprints, which are then mapped to reference points (RPs) in the physical world. The positioning algorithm utilises a weighted k-nearest neighbourhood (WKNN) method. Automated data collection of RSSI on each RP is achieved using a surveying robot for the Wi-Fi 2.4 GHz and 5 GHz bands. The preliminary results show that using only 20 Wi-Fi Sniffers as features for model training, the offline positioning accuracy is 2.2 m in terms of root mean squared error (RMSE). A proof-of-concept real-time online passive IPS is implemented to show that it is possible to detect the online presence of DUTs and obtain their RSSIs as online fingerprints to estimate their position.

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Section: Discussionmentioning

confidence: 99%

A Wi-Fi-Based Passive Indoor Positioning System via Entropy-Enhanced Deployment of Wi-Fi Sniffers

Chan

Chao

2023

Sensors

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“…A mildly related work is also [19], where the authors goal is to identify attacks against the Wi-Fi sensing infrastructure using CSI-based analysis. The goal of the paper is clearly different from sensing obfuscation; however, they introduce and discuss techniques to monitor and protect Wi-Fi infrastructures, which is an important topic also to move further on to systems that allow legitimate Wi-Fi sensing and prevent illegitimate use.…”

Section: Related Workmentioning

confidence: 99%

On the Implementation of Location Obfuscation in openwifi and Its Performance

Ghiro

Cominelli

Gringoli

et al. 2022

2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)

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Wi-Fi sensing as a side-effect of communications is opening new opportunities for smart services integrating communications with environmental properties, first and foremost the position of devices and people. At the same time, this technology represents an unprecedented threat to people's privacy, as personal information can be collected directly at the physical layer without any possibility to hide or protect it. Several works already discussed the possibility of safeguarding users' privacy without hampering communication performance. Usually, some signal pre-processing at the transmitter side is needed to introduce pseudo-random (artificial) patterns in the channel response estimated at the receiver, preventing the extraction of meaningful information from the channel state. However, there is currently just one implementation of such techniques in a real system (openwifi), and it has never been tested for performance. In this work, we present the implementation of a location obfuscation technique within the openwifi project that enables fine manipulation of the radio signal at transmitter side and yields acceptable, if not good, performance. The paper discusses the implementation of the obfuscation subsystem, its performance, possible improvements, and further steps to allow authorized devices to "de-obfuscate" the signal and retrieve the sensed information.

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“…It is essential to note that protection against non-invasive attacks begins during the device's design and construction phase. Designers take specific measures to protect the device and prevent such attacks [11]. This paper provides a comprehensive review of the scientific literature and patents describing hardware-based protection methods against invasive and non-invasive attacks.…”

Section: Introductionmentioning

confidence: 99%

Hardware-Based Methods for Electronic Device Protection against Invasive and Non-Invasive Attacks

Vidaković,

Vinko

2023

Electronics

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This paper reviews hardware-based protection methods for electronic devices, encompassing scientific publications and published patents. This review covers insights from the scientific community and innovative solutions patented in the industry. By combining these two sources, this paper offers a comprehensive and holistic review of electronic device security. Electronic devices are integral to modern life, but their widespread use invites security threats, both digital and physical. This paper reviews hardware-based protection methods against invasive and non-invasive attacks, emphasizing the importance of a dual approach through hardware design. Invasive attacks involve physical tampering, and we explore anti-tampering techniques such as conductive meshes, sensors and physically unclonable functions (PUFs). Non-invasive, side-channel attacks encompass various attack vectors, focusing on electromagnetic analysis. To counter these attacks, we analyze techniques like reducing and masking electromagnetic radiation. This paper bridges the gap between invasive and non-invasive attack mitigation. It underscores the necessity of a multifaceted approach to safeguard electronic devices in an interconnected world, preserving their reliability and functionality.

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Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

Cited by 7 publications

References 40 publications

A Wi-Fi-Based Passive Indoor Positioning System via Entropy-Enhanced Deployment of Wi-Fi Sniffers

A Wi-Fi-Based Passive Indoor Positioning System via Entropy-Enhanced Deployment of Wi-Fi Sniffers

On the Implementation of Location Obfuscation in openwifi and Its Performance

Hardware-Based Methods for Electronic Device Protection against Invasive and Non-Invasive Attacks

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