Securing home networks using Physically Unclonable Functions

Ruj, Sushmita; Nayak, Amiya; Naik, Sagar

doi:10.1109/icufn.2012.6261713

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…The advantages range from security guarantees for tamper evidence, tamper resistance and unclonability that are provided by Physically Unclonable Functions (PUF) and Physical Key Generation (PKG), rendering public key cryptography or a public key infrastructure obsolete. By combining both these technologies we are able to further enhance existing protocols, such [6] by PUFs and intend to reuse already existing hardware for reducing costs and the time-to-market.…”

Section: A Contributionmentioning

confidence: 99%

Securing systems on the Internet of Things via physical properties of devices and communications

Huth

Zibuschka

Duplys

et al. 2015

2015 Annual IEEE Systems Conference (SysCon) Proceedings

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The Internet of Things (IoT) is an emerging trend that generates many new challenges in security and privacy through the interconnect of ubiquitous devices and services over the Internet. Depending on the device and its strict constraints in the IoT, one often needs to refrain from implementing costly public key cryptography to solve the key distribution problem. In this context, Physical Unclonable Functions (PUF) have been identified as a promising replacement that uses already present physical properties of the device. For encryption and authentication services, we combine this technology with Physical Key Generation (PKG) over wireless communication that leverages physical properties of the communications channel. Note that PKG uses same or similar components as PUFs, rendering the combination of both cheap compared to common public-key cryptography such as RSA or ECC. To the best of our knowledge, this is the first approach to combine both technologies to provide confidentiality and authenticity of devices for a lightweight key distribution mechanism. To demonstrate the validity and usefulness of our approach, we derive a generalized architecture for smart home systems and adopt our approach to this scenario.978-1-4799-5927-3/15/$31.00 ©2015 IEEE

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Section: A Contributionmentioning

confidence: 99%