The rapid development and application of the Internet in various fields has brought great convenience to both the society and individuals, and has gradually become an indispensable part of people's life and work. The development of computer technology has changed human life, and the risk and opportunity of virus invasion will also increase. With the increasing scale and automation of network attacks, the traditional detection methods have been unable to meet the needs of intrusion detection in the current network environment. This paper uses the data format and description conditions to define the data items, and completes the network intrusion data processing based on AL-SVM algorithm through feature extraction, so as to inhibit and protect the network intrusion.
The goal of wireless multimedia sensor networks is to transmit data with the desired visual quality. To maximize network lifetime, a compromise must be found between network constraints and desired visual quality. In order to solve this problem, we propose an energy efficient multipath routing, which can predict the essential number of paths and bifurcate based on opportunistic routing according to the dependability. The proposed scheme can determine the best path and provide advisable QoS for various real-time intensive media. The embedding criterion of each objective function is adapted to determine the path from node to receiver. Simulation results show that compared with the existing routing schemes, the proposed method increases the packet reception rate, reduce the energy consumption and average end-to-end delay of sensor nodes.
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