P2M‐based security model: security enhancement using combined PUF and PRNG models for authenticating consumer electronic devices. Issue 6 (21st September 2018)

• Record Type: Journal Article
• Authors: Wortman, Paul; Yan, Wei; Chandy, John; Tehranipoor, Fatemeh
• Is Part Of: IET computers & digital techniques. Volume 12:Issue 6(2018)
• Page Start: 289
• Page End: 296
• Publication Date: 2018-09-21
• Subjects: cryptography -- consumer electronics -- random number generation -- Internet -- authorisation; customer electronics -- physically unclonable functions -- consumer electronic devices -- PRNG -- PUF‐based constraints -- security systems -- growing security concerns -- security enhancement -- safe environment -- secure environment -- P2M‐based security model -- combined PUF -- consumer electronic market -- Internet‐connected consumer electronics -- authenticate each product -- connected environment -- PUF -- pseudorandom number generator element -- consumer electronic domains; Computers -- Periodicals; Digital electronics -- Periodicals; Computer engineering -- Periodicals; Computer architecture -- Periodicals; Computer organization -- Periodicals; 621.39
• DOI: 10.1049/iet-cdt.2018.5099
• Languages: English
• ISSNs: 1751-8601

Abstract

Abstract : Continued growth and development in the consumer electronic market have greatly increased in the realm of home automation. With this swelling in smart, Internet‐connected consumer electronics, there is a need to ensure the safe and secure use of these products. So how does one authenticate each product in a large connected environment? How can the authors minimise counterfeiting, cloning, and the presence of Trojans in customer electronics? In this study, they explore their method of using various physically unclonable functions (PUFs) as a potential seed for a pseudorandom number generators (PRNGs) element. These can then be used to authenticate consumer electronic devices or protect communication over a large interconnected network. The advantage of this work is that their method increases the difficulty of attackers to learn patterns of the seed of each PRNG while optimising PUF‐based constraints in different consumer electronic domains. Through this work they enhance the function of PRNGs, increasing the difficulty of attackers' ability to model security systems, as well as present a lightweight and efficient solution to the growing security concerns. By making the PRNG more difficult to model, malicious actors are less able to overcome their proposed security enhancement leading to a safe and secure environment.