Side-Channel Propagation Measurements and Modeling for Hardware Security in IoT Devices

Sangodoyin, Seun; Werner, Frank T.; Yilmaz, Baki Berkay; Cheng, Chia-Lin; Ugurlu, Elvan Mert; Sehatbakhsh, Nader; Prvulovic, Milos; Zajić, Alenka

doi:10.1109/tap.2020.3037659

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…This type of attack uses the measurement of electromagnetic waves emitted by operating integrated circuits. These EM waves are defined as synchronized oscillations of electric and magnetic fields that propagate at the speed of light through a vacuum [53]. Due to the difficulty of acquiring data from IoTs, the approach using side channels such as electromagnetic emissions was used.…”

Section: Electromagnetic Emission Analysismentioning

confidence: 99%

“…Currently, these security threats are serious problems for IoT systems, which are increasingly present in our daily lives, especially in the medical field [3]. Sangodovin et al [4] showed that information about IoT devices and FPGA modules can be collected from a distance of about 200 m outdoors through side channel EM signal leakage. They predict the received power of EM signals and determine the proximity ranges from which leakage from an IoT device can be monitored.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hardware Security for IoT in the Quantum Era: Survey and Challenges

Dione,

Seck,

Diop

et al. 2023

JIS

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The Internet of Things (IoT) has become a reality: Healthcare, smart cities, intelligent manufacturing, e-agriculture, real-time traffic controls, environment monitoring, camera security systems, etc. are developing services that rely on an IoT infrastructure. Thus, ensuring the security of devices during operation and information exchange becomes a fundamental requirement inherent in providing safe and reliable IoT services. NIST requires hardware implementations that are protected against SCAs for the lightweight cryptography standardization process. These attacks are powerful and non-invasive and rely on observing the physical properties of IoT hardware devices to obtain secret information. In this paper, we present a survey of research on hardware security for the IoT. In addition, the challenges of IoT in the quantum era with the first results of the NIST standardization process for post-quantum cryptography are discussed.

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Section: Electromagnetic Emission Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hardware Security for IoT in the Quantum Era: Survey and Challenges

Dione,

Seck,

Diop

et al. 2023

JIS

View full text Add to dashboard Cite

show abstract

“…Screen contents are detected via electromagnetic side-channel information in [14]. Although there are several works on side-channel leakage measurements and modeling for hardware security in IoT devices [14,15], they do not consider the cryptographic algorithms. It is well known that electromagnetic side-channel analysis plays an important role in the area of crypto devices.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

Sun

Cui

et al. 2021

Entropy

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Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices’ registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationship between the electromagnetic leakage signal and the secret key. The registers are considered as electric dipole models to illustrate the source of the electromagnetic leakage. The equivalent circuit of the magnetic field probe is developed to bridge the output voltage and the electromagnetic leakage signal. Combining them, the electromagnetic information leakage model’s function relationship can be established. Besides, an electromagnetic leakage model based on multiple linear regression is proposed to recover the secret key and the model’s effectiveness is evaluated by guess entropy. Near field tests are conducted in an unshielded ordinary indoor environment to investigate the electromagnetic side-channel information leakage. The experiment result shows the correctness of the proposed electromagnetic leakage model and it can be used to recover the secret key of the cryptographic algorithm.

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“…Knowledge of wireless signal distribution provides also relevant information in relation with potential security vulnerabilities, which can lead to fairly straightforward attacks, such as denial of service attacks owing to undesired message flooding, interference jamming or man in the middle attacks leading to identity theft or impersonation, among others [6][7].…”

Section: Introductionmentioning

confidence: 99%

Distributed Opportunistic Wireless Mapplicationing System towards Smart City Service Provision

et al. 2021

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The knowledge of wireless signal distribution within an urban scenario can provide useful information to users as well as to enhance connectivity and device operation or to perform municipal logistics based on crowd density and user mobility patterns. In this work, a distributed wireless mapplicationing system, based on a combination of opportunistic nodes such as smartphones which map geolocated WiFi access point connection and received power levels, and a cloud-based information gathering architecture is described. The proposed system and the developed tool has been tested in the framework of the Smart City platform of the city of Pamplona, providing signal distribution heat maps, which can be used for multiple municipal services.

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Side-Channel Propagation Measurements and Modeling for Hardware Security in IoT Devices

Cited by 13 publications

References 29 publications

Hardware Security for IoT in the Quantum Era: Survey and Challenges

Hardware Security for IoT in the Quantum Era: Survey and Challenges

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits

Distributed Opportunistic Wireless Mapplicationing System towards Smart City Service Provision

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