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 :
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