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Autonomic networking is a promising solution to handle the ever-increasing management complexity of dynamic network environments. This article elaborates on two autonomic networking architectures and current standardization activities revolving around them.
Body Sensor Networks (BSNs) provide continuous body health monitoring and analysis of physiological parameters. A high degree of security and privacy protection for BSN is extremely required. In this paper, a highly flexible authentication and key establishment protocol based on ECG signals and fuzzy commitment, namely ESKE, is proposed. The uniqueness of ECG signals guarantees that ESKE can provide...
Radio Frequency Identification (RFID) is emerging as a popular technology for automatic data collection and identification, which can be broadly applied to nearly everywhere, such as library, mass transit, healthcare, E-passport, and supply chains. However, it also brings many security vulnerabilities and threats. Much of the early research in RFID security has been predominately focused on studying...
With the rapid development of Internet, it is an important task to ensure that college students accessing the Internet in a healthy way. This paper discusses the monitoring of user behavior by means of SNORT software in order to establish a campus network security monitoring system.
This paper describes a new scheme of wireless fetal monitoring from which the difficulty of having uninterrupted monitoring when patients on move can be solved. This wireless network monitoring scheme provides features of low power consumption, high consistency, low cost, and high accuracy of signal transmitting.
The wireless ad hoc networks (WANET) is an open system that is constituted by fix or mobile nodes. In WANET, each node can be a router or a host. Considering that most nodes may use battery as its energy, it is necessary to improve on energy-saving method. Based on the MAODV protocol, we bring forward a new method called PPEF that uses both hops and energy consumption level of each node together for...
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