Data Encryption and Transmission Technology for Cotton of IoT Security

Xiaodong Zhao (), Lin Qi (), Yajing Li (), Junxia Chen () and Huanhuan Shen ()
Additional contact information
Xiaodong Zhao: Hebei University of Science and Technology
Lin Qi: Hebei University of Science and Technology
Yajing Li: Hebei University of Science and Technology
Junxia Chen: Hebei University of Science and Technology
Huanhuan Shen: Hebei University of Science and Technology

A chapter in LISS 2014, 2015, pp 1695-1701 from Springer

Abstract: Abstract IoT is a double-edged sword, it brings convenience to the control system, but also brings some security problems to be solved (Yang, Research on Key Technology of Control Security in IOT. Beijing University of Posts and Telecommunications. Beijing, 2013).This article describes the research on information data in cotton warehouse environment in terms of the security of IoT transmission. Through the analysis and research about data encryption algorithm and a virtual private network technology (Virtual Private Network, VPN), using data encryption technology and VPN technology combined, it is to study a scheme that send the local information of country’s cotton warehouse and data to the central control center secure transmission. This will not only ensure that data will not be a attacked or tampered by a third-party during transmission, but also have important significance for modern management of cotton warehouse.

Keywords: Information security of IoT; Data encryption; VPN; Secure transmission (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_244

Ordering information: This item can be ordered from
http://www.springer.com/9783662438718

DOI: 10.1007/978-3-662-43871-8_244

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().