scholarly journals A session key authentication system for smart homes

Author(s):  
K Jeremy Varghese ◽  
A Vinnarasi
Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2012 ◽  
Author(s):  
Sooyeon Shin ◽  
Taekyoung Kwon

A wireless sensor network (WSN) is used for a smart home system’s backbone that monitors home environment and controls smart home devices to manage lighting, heating, security and surveillance. However, despite its convenience and potential benefits, there are concerns about various security threats that may infringe on privacy and threaten our home life. For protecting WSNs for smart homes from those threats, authentication and key agreement are basic security requirements. There have been a large number of proposed authentication and key agreement scheme for WSNs. In 2017, Jung et al. proposed an efficient and security enhanced anonymous authentication with key agreement scheme by employing biometrics information as the third authentication factor. They claimed that their scheme resists on various security attacks and satisfies basic security requirements. However, we have discovered that Jung et al.’s scheme possesses some security weaknesses. Their scheme cannot guarantee security of the secret key of gateway node and security of session key and protection against user tracking attack, information leakage attack, and user impersonation attack. In this paper, we describe how those security weaknesses occur and propose a lightweight three-factor authentication and key agreement scheme in WSNs for smart homes, as an improved version of Jung et al.’s scheme. We then present a detailed analysis of the security and performance of the proposed scheme and compare the analysis results with other related schemes.


2020 ◽  
Vol 7 (2) ◽  
pp. 818-829 ◽  
Author(s):  
Chao Lin ◽  
Debiao He ◽  
Neeraj Kumar ◽  
Xinyi Huang ◽  
Pandi Vijayakumar ◽  
...  

Author(s):  
S. Sujana ◽  
V. S. K. Reddy

The biometric-based authentication system occupies maximal space in the field of security administration. Biometric applications are swiftly accelerating in day-to-day life such as computer login, smart homes, online banking, hospitals, border areas, industries, forensics, e-voting attendance system and investigation of crime. A reliable and accurate recognition body can be achieved with multimodal biometric methodologies. In this paper, we discuss starting with an introduction to biometric systems followed by their classification, and advantages as well as disadvantages. In today’s world, most of the systems are unimodal biometrics having a lot of limitations to overcome those multimodal biometrics comes in to picture. In this paper we have discussed comprehensive representation on the system of multimodal biometric, various modes of undertakings, the significance of information fusion, a different section is allotted on the various possible levels of fusion involving sensor-level, feature-level, score-level, and decision -level as well as different rules of fusion.


2006 ◽  
Vol 65 (5) ◽  
pp. 427-439
Author(s):  
O. N. Katkov ◽  
V. A. Pimenov ◽  
A. P. Ryzhkov

2019 ◽  
Vol 7 (6) ◽  
pp. 633-635
Author(s):  
Payal . ◽  
Suman Sangwan ◽  
Arun Malik

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
OMOROGIUWA O. S. ◽  
AZIKEN G. O. ◽  
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