DocumentCode
1799849
Title
Survey of Integrity Detection Methods in Internet of Things
Author
Chaoliang Li ; Qin Li ; Guojun Wang
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear
2014
fDate
24-26 Sept. 2014
Firstpage
906
Lastpage
913
Abstract
Internet of Things (IoT) has received more and more concerns in academia and industry since it was first proposed. With the decrease of tag price and the development of electronic equipments, IoT is widely used to manage the commodities in modern logistic warehouse. As the commodities move in and out of the warehouse frequently every day, there is a need to devise an efficient solution to detect the integrity of a batch of commodities in such an environment. Many detection methods are analyzed and compared in the paper. At the same time, some promising and potential research directions on integrity detection are listed at the end of the paper.
Keywords
Internet of Things; data integrity; radiofrequency identification; warehouse automation; Internet of Things; IoT; electronic equipments; integrity detection methods; modern logistic warehouse; tag price; Detection algorithms; Educational institutions; Internet; Logistics; Privacy; Protocols; Radiofrequency identification; Internet of Things (IoT); integrity detection; survey;
fLanguage
English
Publisher
ieee
Conference_Titel
Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/TrustCom.2014.120
Filename
7011345
Link To Document