An effective device and data origin authentication scheme in home networks

Shin, Soobok; Yeh, Hongjin; Kim, Kangseok

doi:10.1109/cewit.2012.6606977

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shin et al proposed an authentication scheme for smart home network, in which a shared group key is used to encrypt and decrypt all the messages between devices. In their scheme, a digital DNA (in the form of a generated magical number) is used to identify the devices that belong to the different smart homes.…”

Section: Related Workmentioning

confidence: 99%

Passphrase protected device‐to‐device mutual authentication schemes for smart homes

Raniyal

Woungang

Dhurandher

et al. 2018

Security and Privacy

View full text Add to dashboard Cite

Smart home is a promising paradigm and technology for providing the ability to physical objects to operate over the Internet. While this technology provides convenience to its users a number of initiatives across the globe are taken in academia and industry to deal with security issues that it may entail. Among these is the issue of interdevices authentication in the presence of security threats such as vulnerability of session/cookies. In this paper two passphrase protected device‐to‐device (D2D) mutual authentication schemes for smart homes are proposed where the keys are protected using passphrases and a centralized server provides proxy‐passphrase service to smart home devices assuming that the server keeps the database of passphrases as well as the servers' passphrase‐proxy service. The high‐level protocol specification language (HLPSL) language is used to model the proposed two protocols and a security analysis is conducted using the security protocol animator for AVISPA (SPAN)/AVISPA (Automated Validation of Internet Security Protocol and Applications) tool showing that the proposed schemes can achieve the goals of secrecy of secret keys and D2D mutual authentication

show abstract

Section: Related Workmentioning

confidence: 99%