H
Houbing Song
Researcher at Embry-Riddle Aeronautical University, Daytona Beach
Publications - 528
Citations - 17473
Houbing Song is an academic researcher from Embry-Riddle Aeronautical University, Daytona Beach. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 56, co-authored 425 publications receiving 11550 citations. Previous affiliations of Houbing Song include Shanxi Agricultural University & University of Virginia.
Papers
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Cyber-physical systems for water sustainability: challenges and opportunities
TL;DR: An overview of water CPS for sustainability from four critical aspects: sensing and instrumentation; communications and networking; computing; and control.
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Big Data Analytics for 6G-Enabled Massive Internet of Things
TL;DR: In this paper, the authors analyze the access performance, data transmission path delay, energy consumption in the NB-IoT, and large-scale devices' access in the cellular narrowband IoT based on big data analysis technology.
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Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis
TL;DR: These studies demonstrates that big data technologies can indeed be utilized to effectively capture network behaviors and predict network activities so that they can help perform highly effective network managements.
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NBC-MAIDS: Naïve Bayesian classification technique in multi-agent system-enriched IDS for securing IoT against DDoS attacks
TL;DR: This work mainly focuses on protecting an IoT infrastructure from distributed denial-of-service attacks generated by the intruders, and presents a new approach of using Naïve Bayes classification algorithm applied in intrusion detection systems (IDSs).
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Mobile Internet of Things Under Data Physical Fusion Technology
Zhihan Lv,Houbing Song +1 more
TL;DR: The application of data physical fusion technology in the mobile IoT can effectively improve the security and privacy performance of the network, and provide a certain experimental reference for the improvement of the performance ofThe mobile IoT in the later stage, which has important research significance.