Abstract
The Internet of Things (IoT) contains sets of hundreds of thousands of network-enabled devices communicating with central controlling nodes or information collectors. The correct behaviour of these devices can be monitored by inspecting the traffic that they create. This passive monitoring methodology allows the detection of device failures or security breaches. However, the creation of hundreds of thousands of traffic time series in real time is not achievable without highly optimised algorithms. We herein compare three algorithms for time-series extraction from traffic captured in real time. We demonstrate how a single-core central processing unit (CPU) can extract more than three bidirectional traffic time series for each one of more than 20,000 IoT devices in real time using the algorithm DStries with recursive search. This proposal also enables the fast reconfiguration of the analysis computer when new IoT devices are added to the network.
Highlights
The Internet Protocol (IP) provides connectivity to millions of smart and autonomous devices.They range from small health monitors, ambient sensors, and location notification devices to seismic sensors, traffic cameras, and generic computers
The throughput obtained in packets per second, using up to 5000 classes, is shown in Figure 11a and Figure 11b
We demonstrated how a single-core central processing unit (CPU) could create the traffic time series for tens of thousands of Internet of Things (IoT) devices, even when several time series were required for each device
Summary
The Internet Protocol (IP) provides connectivity to millions of smart and autonomous devices. They range from small health monitors, ambient sensors, and location notification devices to seismic sensors, traffic cameras, and generic computers. The service architecture for each type of device differs, but a centralised information-collecting element is typical. Deployed devices typically communicate with a central collector using virtual private networks offered by mobile communication companies or local Internet service providers (ISPs) [1]. The Internet of Things (IoT) ecosystem offers a plethora of examples of large populations of small sensing devices that collect information and send them to centralised hosts
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