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检索条件"机构=2State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology"

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TCB Intrusion Detection Method Based on Data Enhancement 10th

TCB Intrusion Detection Method Based on Data Enhancement

引用

10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Ye, Yunlong Zhou, Lin Hu, Xiaobo Wang, Yong Department of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China

ISBN: (纸本)9789819787456

Within the online sphere, intrusion detection technology plays an increasingly vital role in safeguarding our information security. The current research on intrusion detection mainly focuses on two aspects: machine learning and deep learning, but it cannot be ignored that data balance also affects the efficiency of intrusion detection. The vast majority of current datasets are imbalanced, and during the training process, the model ignores a few class samples, which affects the efficiency of intrusion detection. Therefore, in response to this issue, this article introduces a novel intrusion detection model that integrates Transformer and CNN-BiLSTM, leveraging WGAN-enhanced data. This model first uses Transformer for global capture, establishes global connections, then uses CNN-BiLTM to capture spatial and temporal features, and finally uses Softmax classifier for classification. The dataset used in this article is NSL-KDD. The experimental results show that after data balance processing, the accuracy of two classification tasks of TCB model reaches 92.19%, which is at least 2.24% higher than other models, and the accuracy of multi classification tasks reaches 82.94%, which is at least 1.03% higher than other models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network intrusion

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A Lightweight Edge Network Intrusion Detection System Based on MobileVit 10th

A Lightweight Edge Network Intrusion Detection System Based ...

引用

10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Yang, Xiaobo Hu, Xiaobo Li, Chao Zhou, Lin Wang, Yong School of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China State Grid Digital Technology Holding Co. Beijing China

ISBN: (纸本)9789819787487

Aiming at the current problems of limited computational and storage resources in edge networks, poor robustness of traditional machine learning algorithms, and the large resource overhead required to deploy deep learning algorithms to edge networks, we proposes a lightweight intrusion detection system based on MobileViT, which can detect cyber-attack traffic in edge networks with little resource consumption. The system uses smote to balance the dataset to make the detection model more sensitive to a small number of samples, and then transforms the network traffic into a custom grey scale graph, which reduces the time of transformation and improves the accuracy of the model, which is then fed into a modified minor-MobileViT network for training, and then tested in a test set. Experimental results with relatively few model parameters show that our proposed method has good detection performance, while the model requires less storage space and has low computational overhead, making it suitable for network traffic detection and classification under edge networks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network intrusion

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Stage-Zero: A Dynamic Ensemble Method for Intrusion Detection in industrial Control Systems 10th

Stage-Zero: A Dynamic Ensemble Method for Intrusion Detectio...

引用

10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Ma, Zhiming Zhou, Lin Hu, Xiaobo Li, Chao Chen, Siyuan Wang, Yong Department of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China State Grid Digital Technology Holding Co. Ltd. Beijing China

ISBN: (纸本)9789819787487

industrial control systems (ICS) have become increasingly vulnerable to security risks due to the proliferation of network applications. Intrusion detection systems (IDS) are employed to safeguard ICS from hostile attacks. While machine learning-based methods perform well in intrusion detection tasks, combining multiple machine learning classifiers can further increase the detection accuracy. Confidence calibration is a technique developed to enable a machine learning model to produce prediction results along with more accurate proximate correctness likelihood. This study proposes a dynamic ensemble method that utilizes confidence calibration and a zeroth layer neural net classifier to create a semi-stacked ensemble model, while weighted cross-entropy loss is employed to balanced training samples. We tested our method on two real ICS cybersecurity datasets and achieved accuracy that matches traditional aggregating ensembles like voting and stacking while significantly reducing inference computation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network intrusion

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Research on characteristics of a high sensitivity magnetic sensor 24

Research on characteristics of a high sensitivity magnetic s...

引用

24th International Conference on Electronic Packaging technology, ICEPT 2023

作者： Wang, Shuaipeng Fu, Zhen Chen, Yanning Cheng, Xiaofeng Beijing Engineering Research Center of High-Reliability Ic with Power Industrial Grade Beijing Smart-Chip Microelectronics Technology Co. Ltd. State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing China

ISBN: (纸本)9798350338812

As a common sensor, Magnetic sensor is widely used in power generation, automotive electronics, rail transit and power field. In this paper, we describes the principle and technological process of the magnetic sensor, and compares the advantages of the hall sensor [1] [2] [3] and the magnetic sensor [4] [5] [6]. Then we tests the developed magnetic sensor sample on the basis of analyzing the demand for magnetic sensor in the power field. Finally, we conducted a preliminary test on the performance of the sensor and discuss the optimization of the sensor. © 2023 IEEE.

关键词： Magnetic measurement Magnetic sensor MTJ

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The research of the side-channel analysis method based on deep learning for trusted platform module 2

The research of the side-channel analysis method based on de...

引用

2022 2nd International Conference on power System and Energy Internet, PoSEI 2022

作者： Wang, Zhe Wang, Hui Yang, Yuning Li, Dejian Zhang, Zhe Wu, Tiantian State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing100192 China

At present, the trusted platform module (TPM) has been widely used in electricity, finance, transportation, and other industries, and its security has attracted much attention. The research on the side-channel attack (SCA) can be conducive to improving the security design technology of trusted platform modules. The side channel attack on the trusted platform module is studied from the initial differential power analysis (DPA) to the machine learning method. This paper introduces the deep learning techniques in SCA and proposes a new SCA technique based on deep learning. Firstly, on basis of the characteristics of SCA on TPM, we improve the convolutional neural network (CNN) models, including ResNet, VGG, and Google Net. Then, for the SM4 cipher implemented with and without countermeasures, we implement some attack experiments by exploiting the SCA based on various deep learning models and compare the experimental results with the DPA attack. The experiment results show that under the same circumstance, the SCA based on the deep learning method is more effective. We compare the effects of different CNN models and hyper-parameters to provide the basis and data for further research. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Side channel attack

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A Novel Hybrid Routing Algorithm for In-Network Compressive Sensing in Wireless Sensor Networks

A Novel Hybrid Routing Algorithm for In-Network Compressive ...

引用

International Conference on Internet of Things, Communication and Intelligent technology, IoTCIT 2022

作者： Jia, Qiang Zhang, Yiyi Guo, Peng Zhang, Kui Liu, Jiang State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China Huazhong University of Science and Technology Wuhan430074 China Pentair Group Marssteden Netherlands Shenzhen Miaoyan Technology Co. Ltd. Shenzhen China

ISBN: (纸本)9789819904150

Energy-efficient data gathering in Wireless Sensor Networks (WSNs) has been widely studied, and compressive sensing (CS) is an effective solution. CS can guarantee the sink node to accurately obtain all sensor nodes’ raw data with low data gathering cost, which is unlike the data aggregation solutions that usually result in large information loss. The existing compressive sensing methods used in WSN, either all nodes participate in compressive sensing computation which means all nodes need to delivery cumulative projection results with a size several times of raw data, or assume that the communication capability of nodes is heterogeneous (some nodes have the communication capability of one hop to sink). This paper aims at general WSN consisting of sensor nodes with isomorphic communication capability, effectively designs a new hybrid routing algorithm for two categories of nodes (i.e., perform compressive sensing calculation or not). This algorithm reduces part of sensor nodes’ transmission cost when applying compressive sensing, while remaining the quality of reconstructed data. Extensive number of simulation experiments have been done, and the results verify the advantages of this method over the existing methods. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Compressed sensing

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design and Implementation of OCP-PUF Based on FPGA 8

Design and Implementation of OCP-PUF Based on FPGA

引用

8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022

作者： Du, Jun Yi, Ling Ma, Chao Zhao, Hongyu Beijing Smart-Chip Microelectronics Technology Co. Ltd State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing China College of Electronics and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781665453516

With the rapid development of information technology, the number of Internet of things devices is growing rapidly, and the need to ensure its information security is becoming more and more urgent. In this application context, as a lightweight hardware encryption primitive, physical unclonable functions come onto the stage. This paper proposes a software PUF design, OCP-PUF, based on the internal timing difference of the processor. This PUF is based on the difference of the delay path in the processor pipeline, takes a specific instruction group input as a challenge, and response based on the instruction error that occurs after the clock overclocking. This design does not need to configure any additional hardware resources, nor does it need to make any changes to the hardware of the device. So it can be easily deployed on existing devices, which fits the current application background of low power consumption and low resource occupation. In the work of this paper, its principle and incentive response mechanism are described in detail, and its implementation based on RISC-V instruction set architecture on FPGA platform is verified and analyzed. The results verify that its uniqueness and stability are similar to that of traditional PUF, but it reduces resource occupation. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Digital fingerprint extraction method of IOT devices based on Cryptography 9

Digital fingerprint extraction method of IOT devices based o...

引用

9th International Conference on Information technology: IoT and Smart City, ICIT 2021

作者： Zhang, Yan Jie Zhang, Lei Yang, Feng Gu, Siting Smart-Chip Microelectronics Technology Co. Ltd. State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology China

ISBN: (纸本)9781450384971

In order to improve the identification efficiency of devices in the perception layer of the Internet of Things, reduce the cost of calculation and protect data privacy, a device fingerprint extraction method based on lightweight national secret algorithm is proposed. Firstly, the feature information of embedded module is introduced to construct a comprehensive feature set, and the reasonable feature subset is determined based on the feature selection strategy of expert information weighting mechanism;Secondly, the lightweight cipher algorithm with high security is selected to transform the feature subset data into device fingerprint;Finally, based on the electric energy acquisition equipment in the power Internet of things, the fingerprint value extracted meets the requirements of uniqueness and unforgeability, and has the characteristics of fast response, which verifies the feasibility of the method. © 2021 ACM.

关键词： Internet of things

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An implementation method of multi process MPU protection based on Cortex-M processor 10

An implementation method of multi process MPU protection bas...

引用

10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Fan, Lin Hu, Qilong Wang, Xin Qin, Lixiang Wang, Zhiqiang Beijing Smart-Chip Microelectronics Technology Co. Ltd State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing100192 China Beijing Engineering Research Center of High-reliability Ic with Power Industrial Grade Beijing Smart-Chip Microelectronics Technology Co. Ltd Beijing100192 China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

The Cortex-M processor uses memory protection unit (MPU) for memory access protection to prevent system exceptions caused by data area destruction and stack overflow. The embedded system using multitasking operation, each task program area is not isolated., resulting in the inability to directly set MPU protection in the shared code area and data area. By designing a lightweight real-time operation system(RTOS) with separate kernel and application., each application is allocated its own code area and data area., and setting the MPU protection strategy. From application installation., startup and operation to task switching., a complete set of memory allocation., protection and release mechanism is realized to ensure the stable and reliable operation of the system. © 2022 IEEE.

关键词： Memory architecture

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design of high precision ring ICO circuit with power supply voltage of 0.77V in 0.18µm CMOS process 3

Design of high precision ring ICO circuit with power supply ...

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3rd International Conference on Computer Science and Communication technology, ICCSCT 2022

作者： Xiao, Yan Chen, Yongli Zhou, Chunliang He, Qing Ma, Yongwang State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing100192 China Beijing Engineering Research Center of High-Reliability IC With Power Industrial Grade Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing100192 China

ISBN: (纸本)9781510661240

In this study, a circuit structure of ring current controlled oscillator (ICO) is proposed. Through the cooperation of counter, bootstrap switch with special timing control and special ICO circuit module, the output frequency accuracy in traditional ring OSC is avoided from being affected by voltage range limitation and comparator delay, the temperature and voltage characteristics of output clock are improved, and the output clock with higher accuracy is obtained under low voltage and low power consumption. The test chip is manufactured by 0.18 µm CMOS process. The power supply voltage is 0.77 V, and its output frequency is 1.32 MHz. The deviation of the output clock with the power supply voltage is within ±1%, the deviation with the temperature is within ±2.5%, and the power consumption is 382 nW. © 2022 SPIE.

关键词： Clocks

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