Title :
Research on the forecast model of security situation for information system based on Internet of things
Author :
Taiyan Hao ; Yifan Jia ; Xi Tian
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
According to analysis of the Internet of things (IOT) Information System, data security forecast and other related technologies, we make studies on the forecast methods of the new information system based on the Internet of things and put forward the fine-grain optimization forecast model-The Forecast Model of Security Situation For Information System based on Internet of Things (SSISFM), in which Hidden Markov Model (HMM) is involved. Then with the application prospect of some technologies, such as Internet radio frequency identification(RFID), telecommunication integration, and internet cloud computing, an effective forecasting about the integrate and uniform security situation based on Internet of things arises.
Keywords :
Internet of Things; cloud computing; hidden Markov models; information systems; optimisation; radiofrequency identification; security of data; HMM; IOT; Internet cloud computing; Internet of Things; Internet radio frequency identification; RFID; SSISFM; data security forecast; fine-grain optimization forecast model; hidden Markov model; information system; security situation; telecommunication integration; Hidden Markov models; Information systems; Predictive models; Radiofrequency identification; Security; Data Security; Forecast Model; Internet of Things;
Conference_Titel :
Anti-Counterfeiting, Security and Identification (ASID), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICASID.2013.6825273
