Abstract
With the advancement in recent technology, the world is connected to multiple devices or peripherals through the Internet of things (IoT). Therefore, there is a need for proper configuration with the required authentication and secured data is required to transfer from a particular IoT device to the respective IoT cloud server configured to a specific application and IoT platform. Hence, this paper intends to configure any IoT device that integrates with a multi-level authentication for a secure IoT data stream over TLS/SSL. The multi-level authentication includes the first stage that includes cryptography-based fingerprint authentication to verify whether or not a particular IoT device is paired with the particular IoT cloud platform. In the second stage, each IoT device is configured with an API Key (Application Programming Interface) to enable data transfer from API enabled IoT device to the appropriate API Key activation of the IoT cloud platform. Multi-level authentication, activated with fingerprint authentication and an API key, thus provide a secure IoT data stream between every IoT device and the respective IoT cloud platform. To accomplish secure data transfer, we use a hashing algorithm such as Message Direct (MD5) cryptography for fingerprint authentication.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
The Secure Sockets Layer (SSL) Protocol Version 3.0. No. RFC 6101 (2011)
The Transport Layer Security (TLS) Protocol Version 1.2, No. RFC 5246 (2008)
HTTP over TLS, no. RFC 2818 (2000)
SMTP service extension for secure SMTP over Transport Layer Security, no. RFC 3207 (2002)
Herrmann, D., Wendolsky, R., Federrath, H.: Website fingerprinting: attacking popular privacy enhancing technologies with the multinomial Naive-bayes classifier. In: Proceedings of the 2009 ACM Workshop on Cloud Computing Security, New York (2009)
Anjali, T., Krishna, S., Poonam, Z.: Comparison between SSL and SSH in network and transport layer. Int. J. Comput. Sci. Inf. Technol. 6(6), 5432–5434 (2015)
Miettinen, M., Marchal, S., Hafeez, I., Asokan, N., Sadeghi, A.-R., Tarkoma, S.: IOT SENTINEL: Automated device-type identification for security enforcement in IoT. In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (2017)
Husák, M., ÄŒermák, M., JirsÃk, T., ÄŒeleda, P.: HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting. EURASIP J. Inf. Secur. 2016(1), 1–14 (2016). https://doi.org/10.1186/s13635-016-0030-7
Ghaleb, T.A.: Website fingerprinting as a cybercrime investigation model: role and challenges. In: 2015 First International Conference on Anti-Cybercrime (ICACC) (2015)
Muehlstein, J., et al.: Analyzing HTTPS encrypted traffic to identify user’s operating system, browser and application. In: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Yuvaraj, S., Manigandan, M., Dhandapani, V., Saajid, R., Nikhilesh, S. (2022). Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream Through TLS/SSL Layer. In: Sachdeva, S., Watanobe, Y., Bhalla, S. (eds) Big-Data-Analytics in Astronomy, Science, and Engineering. BDA 2021. Lecture Notes in Computer Science(), vol 13167. Springer, Cham. https://doi.org/10.1007/978-3-030-96600-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-96600-3_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96599-0
Online ISBN: 978-3-030-96600-3
eBook Packages: Computer ScienceComputer Science (R0)