Lightweight network intrusion detection system and method for Bluetooth wireless transmission
A network intrusion detection and wireless transmission technology, applied in transmission systems, digital transmission systems, wireless communications, etc., can solve problems such as reduced accuracy, and achieve the effects of accelerated detection, high precision, and low computational complexity
Inactive Publication Date: 2021-06-11
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Some intrusion detection systems directly use artificially prescribed methods, which saves the process of building models and training models, so that the detection accuracy will be greatly reduced
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[0041] The present invention proposes an intrusion detection system for bluetooth devices, which is based on a machine learning model and automatically learns to obtain model parameter indicators through some training data. The resulting model can then be used to detect messages received by Bluetooth devices, classify the messages as normal or abnormal, and complete intrusion detection.
[0042] In order to make the above-mentioned features and effects of the present invention more clear and understandable, the following specific examples are given together with the accompanying drawings for detailed description as follows.
[0043]This invention proposes an intelligent, high-precision, and low computing resource consumption intrusion detection system for the Bluetooth network. The system, as a software or a software module, can detect data directed at wireless networks in real time. The system mainly includes two sub-modules, the specific software architecture diagram is as ...
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The invention provides a lightweight network intrusion detection system and method for Bluetooth wireless transmission, and the system comprises two working states: offline training and online detection. The offline training comprises four stages of data collection, feature selection, data training and machine learning model generation, the data training aims at data with labels, and the labels represent normal data or abnormal data. The data training stage is divided into three steps of feature compression, probability model construction and array occurrence probability calculation. The online detection comprises the steps of data collection, feature selection, feature compression, array occurrence probability calculation, smoothing probability calculation and real-time detection result obtaining through a generated model. The intrusion detection method provided by the invention can provide higher accuracy and less false alarms.
Description
technical field [0001] The invention relates to the technical field of bluetooth wireless network intrusion detection, and in particular to a lightweight network intrusion detection system and method for bluetooth wireless transmission. Background technique [0002] At present, the development of the Internet of Things is getting faster and faster, and correspondingly, its security needs to be continuously improved. At present, the communication basis of most IoT devices is WIFI wireless network and Bluetooth wireless network. Intrusion detection systems can play a key role in improving the security of wireless networks. Once the wireless network is attacked, it will cause security incidents of varying degrees of harm, and even cause crises such as leaking secrets. For a wireless network, setting up an intrusion detection system can effectively improve the security performance of the wireless network, thus protecting the users of the wireless network. [0003] As can be s...
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IPC IPC(8): H04W12/121H04L29/06H04L12/851H04L12/24
CPCH04L63/1416H04L63/1433H04L41/145H04L47/2441
Inventor 潘志文孙伟豪邢云冰陈益强王永斌张忠平肖益珊刘廉如
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI