Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050632
Kun Liu, Xiongpeng He, G. Liao, Jingwei Xu, Shengqi Zhu, Yifan Guo
Multiple-Input Multiple-Output Radar with Element-Pulse Coding (EPC) is a novel way to address the performance degradation caused by range ambiguity in space-time adaptive processing. In this paper, we use the sparse recovery method to solve the problem that EPC-MIMO has a large demand for independent and identically distributed (IID) samples. On the one hand, we use the Sparse Bayesian Learning (SBL) to achieve space-time spectral estimation under the small sample condition, and on the other hand, the use of prior knowledge, reduce the redundancy of the sparse recovery dictionary and improve the computational efficiency of the algorithm. The simulation results demonstrate the effectiveness of the proposed method.
{"title":"A Sparse Recovery Method on EPC-MIMO Radar System","authors":"Kun Liu, Xiongpeng He, G. Liao, Jingwei Xu, Shengqi Zhu, Yifan Guo","doi":"10.1109/ICICSP55539.2022.10050632","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050632","url":null,"abstract":"Multiple-Input Multiple-Output Radar with Element-Pulse Coding (EPC) is a novel way to address the performance degradation caused by range ambiguity in space-time adaptive processing. In this paper, we use the sparse recovery method to solve the problem that EPC-MIMO has a large demand for independent and identically distributed (IID) samples. On the one hand, we use the Sparse Bayesian Learning (SBL) to achieve space-time spectral estimation under the small sample condition, and on the other hand, the use of prior knowledge, reduce the redundancy of the sparse recovery dictionary and improve the computational efficiency of the algorithm. The simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127651854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050628
Hang Dong, Fengzhou Dai, Gaojun Feng
High-speed targets (radial velocity) cause the target echo spectrum spreading and center frequency shift, which causes great difficulties to the traditional target detection and target parameter estimation. The baseband signal of the received echo of a single broadband pulse of a high-speed target is still a linear frequency modulation (LFM) signal, thus the problem of high-speed target detection and parameter estimation can be transformed into the problem of estimating the centroid frequency (CF) and chirp rate (CR) of the LMF signal. In this paper, a method of broadband radar high-speed target detection based on coherent integrated cubic phase function (CICPF) is proposed to detect multiple high-speed moving targets. In addition, the CICPF algorithm is combined with an ultra-fast two-dimensional iterative adaptive approach (2D-IAA) spectral estimation algorithm to reduce the computational cost as well as to reduce the main lobe width and suppress the sideband of the target spectrum for improving the resolution. Simulation experiments show that the method in this paper is effective.
{"title":"High-Speed Targets Detection with Large Pulse Width Wideband LFM Signal Based on IAA-CICPF Algorithm","authors":"Hang Dong, Fengzhou Dai, Gaojun Feng","doi":"10.1109/ICICSP55539.2022.10050628","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050628","url":null,"abstract":"High-speed targets (radial velocity) cause the target echo spectrum spreading and center frequency shift, which causes great difficulties to the traditional target detection and target parameter estimation. The baseband signal of the received echo of a single broadband pulse of a high-speed target is still a linear frequency modulation (LFM) signal, thus the problem of high-speed target detection and parameter estimation can be transformed into the problem of estimating the centroid frequency (CF) and chirp rate (CR) of the LMF signal. In this paper, a method of broadband radar high-speed target detection based on coherent integrated cubic phase function (CICPF) is proposed to detect multiple high-speed moving targets. In addition, the CICPF algorithm is combined with an ultra-fast two-dimensional iterative adaptive approach (2D-IAA) spectral estimation algorithm to reduce the computational cost as well as to reduce the main lobe width and suppress the sideband of the target spectrum for improving the resolution. Simulation experiments show that the method in this paper is effective.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115188208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050633
Nengxian Li, Yuanyuan Deng
Reconstructing the high-quality image from its degraded version has attracted more interest in recent years. This data recovery problem can be first defined as an ℓ2 norm minimization problem and then solved by deep learning techniques. In the paper, the task of color image recovery from partly observed gray scale data is tackle. It is assumed that some blocks or rectangular area of the gray scale is not observed, making the problem more complicated. The baseline convolutional auto-encoder network is first described. By dividing it into tasks of completion of missing values and image coloring, two sub-networks are proposed with similar architectures to solve the two sub-problems, and they are combined to get the final satisfying results. Experimental results shows that the proposed cascaded network can recover the image with higher PSNR and SSIM performance comparing to the baseline model.
{"title":"Cascaded Convolution Neural Network for Color Image Recovery","authors":"Nengxian Li, Yuanyuan Deng","doi":"10.1109/ICICSP55539.2022.10050633","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050633","url":null,"abstract":"Reconstructing the high-quality image from its degraded version has attracted more interest in recent years. This data recovery problem can be first defined as an ℓ2 norm minimization problem and then solved by deep learning techniques. In the paper, the task of color image recovery from partly observed gray scale data is tackle. It is assumed that some blocks or rectangular area of the gray scale is not observed, making the problem more complicated. The baseline convolutional auto-encoder network is first described. By dividing it into tasks of completion of missing values and image coloring, two sub-networks are proposed with similar architectures to solve the two sub-problems, and they are combined to get the final satisfying results. Experimental results shows that the proposed cascaded network can recover the image with higher PSNR and SSIM performance comparing to the baseline model.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"57 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132467247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050703
Feng-cong Li, Fangqiu Tong, Yinan Zhao, Yibu Wang
This paper presents a waveform design method that uses non-orthogonal multiple access (NOMA) to separate radar signals from communication signals in power domain, reduces the influence of randomness of communication information on radar performance, and uses Active Constellation Expansion (ACE) to suppress Peak to Average Power Ratio (PAPR) of superimposed signals. Firstly, the causes of overlapping constellation caused by traditional power allocation principle are analyzed, and the optimal power allocation in different modulation orders is given. Secondly, the feasibility of PAPR suppression of superimposed signals by ACE technology is analyzed theoretically. The simulation results show that under different modulation modes and different signal-to-noise ratios (SNR), when the power allocation (PA) is optimal, higher radar signal probability of detection (PD) and the lowest bit error rate of communication symbols can be achieved at the same time. The use of ACE technology ensures the bit error rate and radar performance at the communication end, and at the same time, it has a good suppression effect on PAPR of superimposed signals.
{"title":"Integrated Waveform Design for Radar and Communication Based on ACE-NOMA","authors":"Feng-cong Li, Fangqiu Tong, Yinan Zhao, Yibu Wang","doi":"10.1109/ICICSP55539.2022.10050703","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050703","url":null,"abstract":"This paper presents a waveform design method that uses non-orthogonal multiple access (NOMA) to separate radar signals from communication signals in power domain, reduces the influence of randomness of communication information on radar performance, and uses Active Constellation Expansion (ACE) to suppress Peak to Average Power Ratio (PAPR) of superimposed signals. Firstly, the causes of overlapping constellation caused by traditional power allocation principle are analyzed, and the optimal power allocation in different modulation orders is given. Secondly, the feasibility of PAPR suppression of superimposed signals by ACE technology is analyzed theoretically. The simulation results show that under different modulation modes and different signal-to-noise ratios (SNR), when the power allocation (PA) is optimal, higher radar signal probability of detection (PD) and the lowest bit error rate of communication symbols can be achieved at the same time. The use of ACE technology ensures the bit error rate and radar performance at the communication end, and at the same time, it has a good suppression effect on PAPR of superimposed signals.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130741789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050589
Junhao Chen, Rong Shi, K. Deng
The paging signal carries important system information of mobile communication, and the base station or Core Network (CN) can transmit some important notification to the User Equipment (UE) through paging. The paging signal triggered by the base station or the CN has no difference at the air interface physical layer. However, there are few reconnaissance studies for paging messages. As a reconnaissance party for non-cooperative reception, this paper proposes to search all possible paging occasions (POs) of the 4th and 5th Generation Mobile Communication Technology (4G, 5G), through demodulation, deinterleaving, blindly searching aggregation levels, rate de-matching, decoding and descrambling the time-frequency blocks with Paging Radio Network Temporary Identity (P-RNTI) to obtain the Downlink Control Information (DCI) of the paging message. Then after demodulation, deinterleaving, descrambling, and decoding the corresponding Physical Downlink Shared Channel (PDSCH) according to the indication of the DCI, finally the code stream of the paging message is obtained and parsed. According to the above method, the reconnaissance experiments are conducted with the actual signals to obtain the actual paging message code stream, which verifies the correctness of the proposed method. The research not only reveals the air interface transmission characteristics of paging message, but also lays an important foundation for the behavior analysis of UE and base station in 4G/5G system.
{"title":"Analysis and Monitoring of Paging Message in Mobile Communication System","authors":"Junhao Chen, Rong Shi, K. Deng","doi":"10.1109/ICICSP55539.2022.10050589","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050589","url":null,"abstract":"The paging signal carries important system information of mobile communication, and the base station or Core Network (CN) can transmit some important notification to the User Equipment (UE) through paging. The paging signal triggered by the base station or the CN has no difference at the air interface physical layer. However, there are few reconnaissance studies for paging messages. As a reconnaissance party for non-cooperative reception, this paper proposes to search all possible paging occasions (POs) of the 4th and 5th Generation Mobile Communication Technology (4G, 5G), through demodulation, deinterleaving, blindly searching aggregation levels, rate de-matching, decoding and descrambling the time-frequency blocks with Paging Radio Network Temporary Identity (P-RNTI) to obtain the Downlink Control Information (DCI) of the paging message. Then after demodulation, deinterleaving, descrambling, and decoding the corresponding Physical Downlink Shared Channel (PDSCH) according to the indication of the DCI, finally the code stream of the paging message is obtained and parsed. According to the above method, the reconnaissance experiments are conducted with the actual signals to obtain the actual paging message code stream, which verifies the correctness of the proposed method. The research not only reveals the air interface transmission characteristics of paging message, but also lays an important foundation for the behavior analysis of UE and base station in 4G/5G system.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116918942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050709
Yong-Chang Li, Yuan Liu, Xueyong Zhang
Monopole time reversal (MTR) method is an advanced sound source localization technology, while the sidelobes of sound source imaging have a high level at low signal-to-noise ratios, which may lead to the sound sources are masked. In order to reduce the influence of noise, the monopole time reversal method based on a partitioned cross spectral algorithm is proposed in this paper. In this method, the measurement array is first divided into several blocks, and then the time reversed pressure field of every block is obtained by the MTR method. Subsequently, the partitioned cross spectrum is calculated by multiplying the time reversed pressure fields of all blocks as the final result. Numerical simulations show that compared with the conventional MTR method, the proposed method is able to dramatically improve the dynamic range of sound source imaging above 10 dB, and can realize low-sidelobe localization of the sources at SNR of -5 dB.
{"title":"Monopole Time Reversal Method Based on the Partitioned Cross-spectral Algorithm","authors":"Yong-Chang Li, Yuan Liu, Xueyong Zhang","doi":"10.1109/ICICSP55539.2022.10050709","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050709","url":null,"abstract":"Monopole time reversal (MTR) method is an advanced sound source localization technology, while the sidelobes of sound source imaging have a high level at low signal-to-noise ratios, which may lead to the sound sources are masked. In order to reduce the influence of noise, the monopole time reversal method based on a partitioned cross spectral algorithm is proposed in this paper. In this method, the measurement array is first divided into several blocks, and then the time reversed pressure field of every block is obtained by the MTR method. Subsequently, the partitioned cross spectrum is calculated by multiplying the time reversed pressure fields of all blocks as the final result. Numerical simulations show that compared with the conventional MTR method, the proposed method is able to dramatically improve the dynamic range of sound source imaging above 10 dB, and can realize low-sidelobe localization of the sources at SNR of -5 dB.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116795791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050653
Guangyu Zhu, Hui Ma, Yichao Ma
Ahstract-The two main features of the multi-angle netted radar data acquisition are the echo information diversity and spatial sparsity, which brings about opportunities and challenges respectively. This paper is the first toe xploit t he potential of the multi-angle radar in targets' three-dimensional (3D) reconstruction, under the condition that multiple stations provide one-dimensional (1D) range profiles from every single observation angle. The main idea is to reconstruct all possible samples of correlation using geometric constraints, phase difference relationship and conversion of coordinates. Under the principle of random sampling consistency (RANSAC), a certain number of possible correlated samples are traversed, for reconstruct real target scattering points as well as eliminating false correlated samples. From a practical point of view, there exists random estimation deviation in terms of the platform positioning, time synchronization, platform's observation angle. Hence, error analysis is theoretically derived and simulated under a typical geometry of airborne multi-angle radar. The simulation results have verified t he effectiveness a nd performance b ound of the proposed algorithm.
{"title":"Three-Dimensional Reconstruction of Targets Based on Multi-angle High-Resolution Range Profiles","authors":"Guangyu Zhu, Hui Ma, Yichao Ma","doi":"10.1109/ICICSP55539.2022.10050653","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050653","url":null,"abstract":"Ahstract-The two main features of the multi-angle netted radar data acquisition are the echo information diversity and spatial sparsity, which brings about opportunities and challenges respectively. This paper is the first toe xploit t he potential of the multi-angle radar in targets' three-dimensional (3D) reconstruction, under the condition that multiple stations provide one-dimensional (1D) range profiles from every single observation angle. The main idea is to reconstruct all possible samples of correlation using geometric constraints, phase difference relationship and conversion of coordinates. Under the principle of random sampling consistency (RANSAC), a certain number of possible correlated samples are traversed, for reconstruct real target scattering points as well as eliminating false correlated samples. From a practical point of view, there exists random estimation deviation in terms of the platform positioning, time synchronization, platform's observation angle. Hence, error analysis is theoretically derived and simulated under a typical geometry of airborne multi-angle radar. The simulation results have verified t he effectiveness a nd performance b ound of the proposed algorithm.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122658902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose a weak signal detection method based on spatial spectrum-long short-term memory (LSTM) neural network to address the problem that the traditional blind detection method of weak signals is not effective in the condition of low signal-to-noise ratios. We firstly exploit the difference between the spatial spectrum transformed signal and noise to determine whether there is a weak signal. Then, the LSTM neural network is used for feature learning to classify different samples. It can avoid the influence of the detection threshold on the detection performance of the system. Numerical results show that the detection performance of our method outperforms LSTM neural network, radial basis function neural network, traditional maximum-minimum eigenvalue, and energy detection methods.
{"title":"A Weak Signal Detection Method Based on Spatial Spectrum-LSTM Neural Network","authors":"Yaning Dong, Chuanzhang Wu, Huizhu Zhu, Feng Xu, Xin Ren","doi":"10.1109/ICICSP55539.2022.10050602","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050602","url":null,"abstract":"In this paper, we propose a weak signal detection method based on spatial spectrum-long short-term memory (LSTM) neural network to address the problem that the traditional blind detection method of weak signals is not effective in the condition of low signal-to-noise ratios. We firstly exploit the difference between the spatial spectrum transformed signal and noise to determine whether there is a weak signal. Then, the LSTM neural network is used for feature learning to classify different samples. It can avoid the influence of the detection threshold on the detection performance of the system. Numerical results show that the detection performance of our method outperforms LSTM neural network, radial basis function neural network, traditional maximum-minimum eigenvalue, and energy detection methods.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124748222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050657
Lin Liu, Yu Huang, Y. Song, Linfang Mo, Ying He
Mental fatigue, which is common in aviation, is one of the representative symptoms of depression and affects work efficiency and long-term mental health. There have been a lot of studies on musical treatments, yet few are concerned about the effects of acoustic waves on mental fatigue. It is necessary to investigate the effects of auditory stimulation on mental fatigue. This study used a 24-hour-restraint mouse model with mental fatigue symptoms as animal subjects. The 24-hour-restraint mice were divided into a control group and two acoustic groups. Two auditory stimulation, i.e., pink noise with 5kHz pure tone and pink noise with 10kHz pure tone, were generated for each acoustic group. Each acoustic group was exposed to one stimulus at 60 dB(A) for 1h per day. After 7 days, we carried out the open field test and the forced swimming test. We found increased total distance and latency to abandon and decreased immobility time in the auditory stimulation groups compared to the control group. The pink noise with high-frequency tones may have positive effects on relieving mental fatigue behaviours.
{"title":"A Preliminary Study of the Auditory Stimulation Relieving Mental Fatigue Behaviours","authors":"Lin Liu, Yu Huang, Y. Song, Linfang Mo, Ying He","doi":"10.1109/ICICSP55539.2022.10050657","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050657","url":null,"abstract":"Mental fatigue, which is common in aviation, is one of the representative symptoms of depression and affects work efficiency and long-term mental health. There have been a lot of studies on musical treatments, yet few are concerned about the effects of acoustic waves on mental fatigue. It is necessary to investigate the effects of auditory stimulation on mental fatigue. This study used a 24-hour-restraint mouse model with mental fatigue symptoms as animal subjects. The 24-hour-restraint mice were divided into a control group and two acoustic groups. Two auditory stimulation, i.e., pink noise with 5kHz pure tone and pink noise with 10kHz pure tone, were generated for each acoustic group. Each acoustic group was exposed to one stimulus at 60 dB(A) for 1h per day. After 7 days, we carried out the open field test and the forced swimming test. We found increased total distance and latency to abandon and decreased immobility time in the auditory stimulation groups compared to the control group. The pink noise with high-frequency tones may have positive effects on relieving mental fatigue behaviours.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050706
Ming Tan, Xiaohan Wang, Siyuan Shang, Aodi Liu
In view of the problems of high application cost, opaque permission judgment process, mutual trust between domains, and difficulty in coordinating access control information of data resources in distributed environment, this paper proposes a blockchain-based cross-domain access control mechanism that supports inter-domain policy privacy protection, so as to achieve cross-domain secure sharing of data in the centerless mode. First, based on attribute-based access control, access control information such as policies and attributes is stored on the blockchain to achieve efficient distributed permission management; At the same time, an inter-domain policy privacy protection method based on SM4 and CP-ABE is designed to protect the privacy of access control policies between domains. Subsequently, the smart contract is used to realize the distributed trusted judgment of access control based on the on-chain permission information; Finally, compared with the existing cross-domain access control mechanism, it is verified that the proposed mechanism in this paper has certain advantages and good scalability, and can provide strong support for cross-domain data security access in a distributed environment.
{"title":"Blockchain-Based Cross-domain Access Control Mechanism","authors":"Ming Tan, Xiaohan Wang, Siyuan Shang, Aodi Liu","doi":"10.1109/ICICSP55539.2022.10050706","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050706","url":null,"abstract":"In view of the problems of high application cost, opaque permission judgment process, mutual trust between domains, and difficulty in coordinating access control information of data resources in distributed environment, this paper proposes a blockchain-based cross-domain access control mechanism that supports inter-domain policy privacy protection, so as to achieve cross-domain secure sharing of data in the centerless mode. First, based on attribute-based access control, access control information such as policies and attributes is stored on the blockchain to achieve efficient distributed permission management; At the same time, an inter-domain policy privacy protection method based on SM4 and CP-ABE is designed to protect the privacy of access control policies between domains. Subsequently, the smart contract is used to realize the distributed trusted judgment of access control based on the on-chain permission information; Finally, compared with the existing cross-domain access control mechanism, it is verified that the proposed mechanism in this paper has certain advantages and good scalability, and can provide strong support for cross-domain data security access in a distributed environment.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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