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5th International Conference on security and Privacy in New Computing Environments, SPNCE 2022

作者： Wang, Jinhua Chen, Ting Liu, Yanyan Zhou, Yu Dong, XinFeng Science and Technology on Communication Security Laboratory Sichuan Chengdu610041 China

ISBN: (纸本)9783031306228

It is crucial and challenging to design a quantum-secure and efficient authentication key agreement scheme for IoT. The reasons are that not only there are various security requirements need to meet, but also communication party is resource-constrained. Recently, a large number of 2PAKA schemes for IoT have been presented, yet most of them are subject to quantum attack. In this paper, we put forward a quantum-secure 2PAKA protocol using lattice cryptography. The proposed LB-ID-2PAKA protocol makes use of identity-based signature to avoid the complicated certificate management of PKI-based protocol. At the same time, based on the ***, we apply Peikert’s reconciliation mechanism to save the communication cost. Our LB-ID-2PAKA protocol can be resistance against various attack and provide desired security property, especially support perfect forward secrecy. Moreover, the provable security analysis shows that our LB-ID-2PAKA protocol is provably secure under RO model and the hardness assumption of MLWE. © 2023, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Authentication

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High-speed implementation of privacy amplification for continuous-variable quantum key distribution 7

High-speed implementation of privacy amplification for conti...

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Quantum and Nonlinear Optics VII 2020

作者： Luo, Yujie Li, Yang Yang, Jie Ma, Li Huang, Wei Xu, Bingjie Science and Technology 011 Security Communication Laboratory Institute of Southwestern Communication Chengdu610093 China

ISBN: (纸本)9781510639317

Privacy amplification (PA) is an essential process for high-speed and real-time implementation of a continuous-variable quantum key distribution (CV-QKD) system. Tins work focuses on the improvement of the performance of PA. and we realize PA with Toeplitz matrix and accelerate it using fast Fourier transform (FFT) on graphic processing unit (GPU). Based on the architectural feature of FFT. we adjust its form of input length and obtained an average speed of PA about 2Gbps with input length ranges from IMbits to 128Mbits. which is length-adaptable to satisfy various requirements of CV-QKD systems at different transmission distances. Furthermore, we test this work with different compress ratios of PA. which can also achieve a high implementation speed around 2Gbps. With the method used in this paper, the requirements of PA for the high-speed and real-time CV-QKD system can be entirely satisfied. © 2020 SPIE. All rights reserved.

关键词： Fast Fourier transforms

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Primary User Adversarial Attacks on Deep Learning-Based Spectrum Sensing and the Defense Method

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China communications 2021年第12期18卷 94-107页

作者： Shilian Zheng Linhui Ye Xuanye Wang Jinyin Chen Huaji Zhou Caiyi Lou Zhijin Zhao Xiaoniu Yang Science and Technology on Communication Information Security Control Laboratory Jiaxing314000China College of Information Engineering Zhejiang University of TechnologyHangzhou310012China Institute of Cyberspace Security Zhejiang University of TechnologyHangzhou310012China School of Communication Engineering Hangzhou Dianzi UniversityHangzhou310018China

The spectrum sensing model based on deep learning has achieved satisfying detection per-formence,but its robustness has not been *** this paper,we propose primary user adversarial attack(PUAA)to verify the robustness of the deep learning based spectrum sensing *** adds a care-fully manufactured perturbation to the benign primary user signal,which greatly reduces the probability of detection of the spectrum sensing *** design three PUAA methods in black box *** or-der to defend against PUAA,we propose a defense method based on autoencoder named *** apply the long short-term memory network and the convolutional neural network together to DeepFilter,so that it can extract the temporal and local features of the input signal at the same time to achieve effective *** experiments are conducted to eval-uate the attack effect of the designed PUAA method and the defense effect of *** show that the three PUAA methods designed can greatly reduce the probability of detection of the deep learning-based spectrum sensing *** addition,the experimen-tal results of the defense effect of DeepFilter show that DeepFilter can effectively defend against PUAA with-out affecting the detection performance of the model.

关键词： spectrum sensing cognitive radio deep learning adversarial attack autoencoder defense

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Bit Stream Oriented Enumeration Tree Pruning Algorithm

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Journal of Shanghai Jiaotong university(science) 2011年第5期16卷 567-570页

作者：邱卫东金凌杨小牛杨红娃 School of Information Security Engineering Shanghai Jiaotong University National Science and Technology on Communication Information Security Control Laboratory No. 36 Institute of China Electronics Technology Group Corporation

Packet analysis is very important in our digital life. But what protocol analyzers can do is limited because they can only process data in determined format. This paper puts forward a solution to decode raw data in an unknown format. It is certain that data can be cut into packets because there are usually characteristic bit sequences in packet headers. The key to solve the problem is how to find out those characteristic sequences. We present an efficient way of bit sequence enumeration. Both Aho-Corasick (AC) algorithm and data mining method are used to reduce the cost of the process.

关键词： pattern matching data mining frequent set frequent sequence association rule

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A rejection sampling algorithm for off-centered discrete Gaussian distributions over the integers

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science China(Information sciences) 2019年第3期62卷 196-198页

作者： Yusong DU Baodian WEI Huang ZHANG School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology Chongqing Key Lab of Computer Network and Communication Technology

Dear editor,Discrete Gaussian sampling, that is, sampling from a discrete Gaussian distribution DΛ,σ,cwith parameter σ> 0 and center c∈R~n over an ndimensional lattice Λ, has been considered by the cryptography research community as one of the fundamental building blocks of lattice-based cryptography [1, 2]. The simplest lattice is the one-

关键词： A rejection sampling algorithm for off-centered discrete Gaussian distributions over the integers

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Deep Spectrum Prediction in High Frequency communication Based on Temporal-Spectral Residual Network

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China communications 2018年第9期15卷 25-34页

作者： Ling Yu Jin Chen Yuming Zhang Huaji Zhou Jiachen Sun College of Communications Engineering Army Engineering University of PLA Nanjing 210000 China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China

High frequency(HF) communication is widely spread due to some merits like easy deployment and wide communication coverage. Spectrum prediction is a promising technique to facilitate the working frequency selection and enhance the function of automatic link establishment. Most of the existing spectrum prediction algorithms focus on predicting spectrum values in a slot-by-slot manner and therefore are lack of timeliness. Deep learning based spectrum prediction is developed in this paper by simultaneously predicting multi-slot ahead states of multiple spectrum points within a period of time. Specifically, we first employ supervised learning and construct samples depending on longterm and short-term HF spectrum data. Then, advanced residual units are introduced to build multiple residual network modules to respectively capture characteristics in these data with diverse time scales. Further, convolution neural network fuses the outputs of residual network modules above for temporal-spectral prediction, which is combined with residual network modules to construct the deep temporal-spectral residual network. Experiments have demonstrated that the approach proposed in this paper has a significant advantage over the benchmark schemes.

关键词： HF communication deep learning spectrum prediction temporal-spectral residual network

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An Optimal Beamforming Model for Aperture-Level Phased Array Full-Duplex 13

An Optimal Beamforming Model for Aperture-Level Phased Array...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Chen, Jiarui Chen, Shunyang Huang, Xiaoguo Zhang, Qi Zhu, Menglei Science And Technology On Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781665434379

Full-duplex, which aims to simultaneously transmitting and receiving over the same band, together with phased array antennas play fundamental roles in next-generation wireless communication systems. The combination of them, phased array fullduplex, is widely accepted as a promising way for realizing practical full-duplex communications. However, diversified application scenarios and rapidly grown system complexity hinder the development of PAFD. In this work, we present a spatial domain selfinterference suppression method for the implementation of fullduplex in digital phased array architectures. By taking advantage of the flexibility of fully-digital phased array, a novel computation framework is constructed to effectively optimize the transmitting beamforming weights in order to maximize the desired beamforming gains of the transmitting sub-array while simultaneously reducing the self-interference received by receiving sub-array. Our work demonstrates the capability of spatial domain methods in digital phased array and paves the way for practical full-duplex communications. © 2021 IEEE.

关键词： Beamforming

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A secure and high-performance multi-controller architecture for software-defined networking

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Frontiers of Information technology & Electronic Engineering 2016年第7期17卷 634-646页

作者： Huan-zhao WANG Peng ZHANG Lei XIONG Xin LIU Cheng-chen HU Department of Computer Science and Technology Xi'an Jiaotong UniversityXi'an 710059China Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shijiazhuang 050081China MOE Key Laboratory for Intelligent Networks and Network Security Xi'an Jiaotong UniversityXi'an 710049China

Controllers play a critical role in software-defined networking(SDN).However,existing singlecontroller SDN architectures are vulnerable to single-point failures,where a controller's capacity can be saturated by flooded flow *** addition,due to the complicated interactions between applications and controllers,the flow setup latency is relatively *** address the above security and performance issues of current SDN controllers,we propose distributed rule store(DRS),a new multi-controller architecture for *** DRS,the controller caches the flow rules calculated by applications,and distributes these rules to multiple controller *** controller instance holds only a subset of all rules,and periodically checks the consistency of flow rules with each *** from switches are distributed among multiple controllers,in order to mitigate controller capacity saturation *** the same time,when rules at one controller are maliciously modified,they can be detected and recovered in *** implement DRS based on Floodlight and evaluate it with extensive *** results show that DRS can effectively maintain a consistently distributed rule store,and at the same time can achieve a shorter flow setup time and a higher processing throughput,compared with ONOS and Floodlight.

关键词： Software-defined networking(SDN) security Multi-controller Distributed rule store

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More practical power analysis attack on LFSR based stream ciphers

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Journal of Information and Computational science 2012年第12期9卷 3517-3527页

作者： Jia, Yanyan Hu, Yupu Zhang, Wenzheng Department of Computer Science Xi'an University of Science and Technology Xi'an 710054 China Laboratory of Computer Networks and Information Security Xidian University Xi'an 710071 China Science and Technology on Communication Security Laboratory The 30th Research Institute of China Electronics Technology Group Corporation Chengdu 610041 China

Power analysis attack is a powerful cryptanalytic technique aiming to extract the secret data from a cryptographic device by collecting and analyzing power consumption traces. In this paper, we present a practical power analysis attack on Linear Feedback Shift Registers (LFSR) based stream ciphers. Based on Information Theory, the problem of the power analysis attack is converted into the problem of decoding over a 3-ary symmetric channel. By setting two thresholds, the attack algorithm can significantly eliminate the effect of noise. And therefore, the correctness of decoding is enhanced. Compared with Burman's attack, the proposed attack algorithm is much more practical since the algorithmic noise and electronic noise are taken into account. Simulation results show that when the Signal to Noise Ratio (SNR) is higher than -6.5dB, the algorithm can always be practically performed and effective. © 2012 Binary Information Press.

关键词： Side channel attack

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A Tutorial on Movable Antennas for Wireless Networks

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IEEE communications Surveys and Tutorials 2025年

作者： Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui National University of Singapore Department of Electrical and Computer Engineering 117583 Singapore National Key Laboratory of Wireless Communications Chengdu611731 China Southeast University National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China Beihang University School of Electronic and Information Engineering Beijing100191 China University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada Beijing Institute of Technology State Key Laboratory of CNS/ATM Miit Key Laboratory of Complex-field Intelligent Sensing Beijing100081 China The Chinese University of HongKong School of Science and Engineering Shenzhen Research Institute of Big Data Guangdong Shenzhen518172 China

Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed. We also highlight promising research directions in this area to inspire future investigatio

关键词： Antenna arrays

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