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20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

作者： Shuisong, Hu Haoran, Luo Wenyong, Wang Yu, Miao Jun, Deng Yubo, Li University of Electronic Science and Technology China Sichuan Cloud Network Integration Engineering Laboratory SICHUAN CHENGDU610000 China NSFOCUS R&D Center SICHUAN CHENGDU610000 China

ISBN: (纸本)9798350318982

Distributed denial-of-service (DDoS) attacks has always been a major threat to cyber security. The current defense against DDoS attacks is mostly divided into three stages: pre-event, during-event and post-event. Because the collection of prior intelligence can often help defend against DDoS attacks, current commercial DDoS defense solutions will focus on active defense against DDoS. Due to the high intensity of the new large-scale pulse-wave DDoS attack, DDoS active defense still cannot completely solve the problem. If the defense is completely close to the victim, pulse wave DDoS attacks may still affect actual services, making the intelligence collected by DDoS active defense unusable, and thus unable to effectively mitigate the intensity of DDoS attacks. We propose a method called Cyber Ares, which combines DDoS active defense with source address validation architecture (SAVA), and use the intelligence collected by active defense to move defense forward, achieving ideal DDoS mitigation effects. We use SAVA's capability blocking IP spoofing to reduce the intensity of the attack. We use the black and white lists provided by SAVA to block malicious IP traffic from botnets in advance. The final experiment shows that the method, the DDoS traffic of the attacked victim can be effectively mitigated. © 2023 IEEE.

关键词： Denial-of-service attack

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Introduction of a Trusted Whitelist Mechanism for DDOS Attack Early Warning Optimization 20

Introduction of a Trusted Whitelist Mechanism for DDOS Attac...

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20th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

作者： Haoran, Luo Shuisong, H.U. Wenyong, Wang Yu, Miao Jun, Deng Yubo, L.I. University of Electronic Science and Technology of China Sichuan Cloud Network Integration Engineering Laboratory SICHUAN CHENGDU610000 China NSFOCUS R&D Center Building C5 of the XINCHUAN Information Technology Incubation Park SICHUAN CHENGDU610000 China

ISBN: (纸本)9798350318982

Distributed Denial of Service (DDoS) attacks pose a significant threat to modern networks, leading to substantial computational resource consumption and economic losses. Many mature defense technologies exist to block malicious traffic and deploy honeypots for traffic monitoring, enabling early detection and mitigation of attacks. However, these defenses can disrupt normal client services, especially during peak network usage, due to over-blocking and inaccurate attack situation assessments. This paper introduces an optimized mechanism involving a trusted whitelist, which filters legitimate clients in advance during the DDoS attack Early warning stage, addressing potential misjudgments during peak network times. Experimental results show that this mechanism can more effectively and accurately discern DDoS situations, reducing the likelihood of false positives. © 2023 IEEE.

关键词： Denial-of-service attack

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Cyber Ares: Botnet Active Defense Method in Collaboration with Sava

Cyber Ares: Botnet Active Defense Method in Collaboration wi...

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International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP)

作者： Hu Shuisong Luo Haoran Wang Wenyong Miao Yu Deng Jun Li Yubo University of Electronic Science and Technology of China Sichuan Cloud Network Integration Engineering Laboratory CHENGDU SICHUAN China NSFOCUS R&D Center CHENGDU SICHUAN China

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Introduction of a Trusted Whitelist Mechanism for DDOS Attack Early Warning Optimization

Introduction of a Trusted Whitelist Mechanism for DDOS Attac...

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International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP)

作者： Luo Haoran HU Shuisong Wang Wenyong Miao Yu Deng Jun LI Yubo Sichuan Cloud Network Integration Engineering Laboratory University of Electronic Science and Technology of China CHENGDU SICHUAN CHINA NSFOCUS R&D Center Building C5 of the XINCHUAN Information Technology Incubation Park CHENGDU SICHUAN CHINA

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Cone-Beam Computed Tomography Limited-Angle Image Reconstruction Using Planning CT-Guided Deep Diffusion Model

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Wu, Zhan Yang, Yang Hu, Dianlin Lyu, Tianling Li, Yinsheng Tang, Hao Shu, Huazhong Xi, Yan Zhang, Yi Chen, Yang Southeast University Laboratory of Image Science and Technology Nanjing210096 China Southeast University Ministry of Education Key Laboratory of Computer Network and Information Integration Nanjing210096 China Zhejiang University of Technology Academy for Advanced Interdisciplinary Science and Technology Hangzhou China Chinese Academy of Sciences Key Laboratory of Biomedical Imaging Science and System China Capital Medical University Beijing Jishuitan Hospital China First-Imaging Tech Shanghai China Sichuan University School of Cyber Science and Engineering Chengdu China Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Southeast University Ministry of Education Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Laboratory of Image Science and Technology the School of Computer Science and Engineering Nanjing210096 China

For existing image-guided radiation therapy systems (IGRT), the limited angular range of the cone-beam computed tomography (CBCT) scanning improves the compactness of the system and compatibility between CBCT and linear accelerator configurations. However, the limited-angle CBCT reconstruction under incomplete projection data causes severe artifacts in the reconstructed images, further having a negative impact on the registration accuracy in IGRT. In this paper, we propose a planning CT-guided deep diffusion model, termed LARGE-DiffNet, to improve imaging quality and registration accuracy for limited-angle CBCT image reconstruction. In stark contrast to existing approaches leveraging hand-crafted regularization, such as local smoothness and/or sparsity of the image, LARGE-DiffNet learns the distribution-level prior knowledge to describe the features of ideal CBCT images via a planning CT-guided diffusion model. The proposed LARGE-DiffNet is evaluated on the clinical CBCT dataset, and extensive experimental results demonstrate that the proposed method outperforms the state-of-the-art methods. The proposed LARGE-DiffNet technique has great potential in IGRT. © 1963-2012 IEEE.

关键词： Image reconstruction Computed tomography Planning Radiation therapy Diffusion models Biomedical imaging Image restoration Training Reconstruction algorithms Image quality

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Mitigating polarization-dependent fluctuation of single-photon Raman distributed optical fiber temperature sensor

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Journal of Lightwave Technology 2025年

作者： Ou, Zhonghua Fan, Xiaodong Wu, Peng Fan, Yunru Guo, Kai Zhang, Ji Jiang, Panqiu Wang, Shikun Zhang, Lixun Qi, Qiang Deng, Guangwei Song, Haizhi Wang, You Liu, Shuang Wang, Pinghe Liu, Yong Guo, Guangcan Zhou, Qiang University of Electronic Science and Technology of China Institute of Fundamental and Frontier Sciences Chengdu611731 China University of Electronic Science and Technology of China School of Optoelectronic Science and Engineering Chengdu611731 China University of Electronic Science and Technology of China Key Laboratory of Quantum Physics and Photonic Quantum Information Ministry of Education Chengdu611731 China Institute of Systems Engineering AMS Beijing100141 China Department of Cloud and Network Development China Telecom Sichuan Branch Chengdu610012 China Southwest Institute of Technical Physics Chengdu610041 China Tianfu Jiangxi Laboratory Center for Quantum Internet Chengdu641419 China University of Science and Technology of China CAS Key Laboratory of Quantum Information Hefei230026 China

Raman distributed optical fiber temperature sensor based on single-photon detection (RDTS-SPD) improves the spatial resolution in temperature sensing. However, the temperature accuracy of RDTS-SPD is hindered by the polarization and interference effects in the Raman spontaneous backscattering process. Existing methods only mitigate the influence of the polarization-sensitive single-photon detector, and commonly require the assistance of multiple single-photon detectors, complex cryogenic devices, or long measurement periods. In our work, we analyze the the interference between the Raman photons generated by the different polarization components of probe light, and propose a method based on orthogonal-polarization dual-pulse light to mitigate polarization-dependent fluctuation with a single measurement period. A proof-of-principle experimental demonstration is performed by using an InGaAs/InP-based single-photon avalanche diode (SPAD). The proposed method reduces the contrast of polarization-dependent fluctuations from 0.18±0.01 to 0.05±0.01. A temperature resolution of 0.5 °C and a temperature accuracy of ±0.9 °C are achieved without any other denoising method. The spatial resolution is achieved to be 37 cm, which can be further improved by reducing the pulse laser width. Our approaches open opportunities for the RDTS-SPD system from experimental validations to practical application. © 1983-2012 IEEE.

关键词： Thermocouples

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Overview of the CCKS 2019 knowledge graph evaluation track: Entity, relation, event and QA

arXiv

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arXiv 2020年

作者： Han, Xianpei Wang, Zhichun Zhang, Jiangtao Wen, Qinghua Li, Wenqi Tang, Buzhou Wang, Qi Feng, Zhifan Zhang, Yang Lu, Yajuan Wang, Haitao Chen, Wenliang Shao, Hao Chen, Yubo Liu, Kang Zhao, Jun Wang, Taifeng Zhang, Kezun Wang, Meng Jiang, Yinlin Qi, Guilin Zou, Lei Hu, Sen Zhang, Minhao Lin, Yinnian Chinese Information Processing Laboratory Institute of Software Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence Beijing Normal University Beijing100875 China 305 Hospital of People’s Liberation Army Beijing100017 China Department of Computer Science and Technology Tsinghua University Beijing100084 China Yidu Cloud Beijing100000 China Harbin Institute of Technology Shenzhen Guangdong518055 China Baidu Beijing100193 China School of Computer Science & Technology Soochow University Suzhou Jiangsu215006 China Gowild Suzhou Jiangsu215002 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Ant Financial Hangzhou Zhejiang310000 China School of Computer Science and Engineering Southeast University Nanjing Jiangsu211189 China Key Laboratory of Computer Network Information Integration Southeast University Nanjing Jiangsu211189 China Peking University Beijing100871 China

Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation track with 6 tasks and attracted more than 1,600 teams. In this paper we give an overview of the knowledge graph evaluation tract at CCKS 2019. By reviewing the task definition, successful methods, useful resources, good strategies and research challenges associated with each task in CCKS 2019, this paper can provide a helpful reference for developing knowledge graph applications and conducting future knowledge graph researches. Copyright © 2020, The Authors. All rights reserved.

关键词： Knowledge graph

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Micro-Expression Recognition based on 2D Gabor Filter and Sparse Representation

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Journal of Physics: Conference Series 2017年第1期787卷

作者： Hao Zheng Key Laboratory of Trusted Cloud Computing and Big Data Analysis School of Information Engineering Nanjing XiaoZhuang University Nanjing China MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

Micro-expression recognition is always a challenging problem for its quick facial expression. This paper proposed a novel method named 2D Gabor filter and Sparse Representation (2DGSR) to deal with the recognition of micro-expression. In our method, 2D Gabor filter is used for enhancing the robustness of the variations due to increasing the discrimination power. While the sparse representation is applied to deal with the subtlety, and cast recognition as a sparse approximation problem. We compare our method to other popular methods in three spontaneous micro-expression recognition databases. The results show that our method has more excellent performance than other methods.

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Latency-aware routing with bandwidth assignment for Software Defined networks

Latency-aware routing with bandwidth assignment for Software...

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Qiongyu Zhang Liehuang Zhu Meng Shen Mingzhong Wang Fan Li Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education P. R. China Faculty of Arts and Business University of the Sunshine Coast Queensland Australia

Reducing the flow latency is of great importance in traffic management, which benefits both service providers and end users. Routing design and flow scheduling are typical ways to improve the flow transmission efficiency. However, existing studies usually consider them separately, due to the complexity of joint consideration. Here, we propose a latency-aware routing scheme with bandwidth assignment in the Software Defined networks, which can efficiently reduce the flow latency with a moderate complexity, to combine the routing and scheduling together.

关键词： Routing Bandwidth Processor scheduling Complexity theory Bismuth Software Mathematical model

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Self-adaptive anonymous communication scheme under SDN architecture

Self-adaptive anonymous communication scheme under SDN archi...

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Tingting Zeng Meng Shen Mingzhong Wang Liehuang Zhu Fan Li Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education P. R. China Faculty of Arts and Business University of the Sunshine Coast Queensland Australia

Communication privacy and latency perceived by users have become great concerns for delay-sensitive Internet services. Existing anonymous communication systems either provide high anonymity at an expense of prolonged latency (e.g., mix-net), or offer better real-time performance by sacrificing the ability against traffic analysis attacks (e.g., Onion Routing). The emerging Software-Defined networking (SDN) introduces additional challenges to communication anonymity, due to the existence of a centralized controller that has a global view of the entire network traffic. In this paper, we propose a new anonymous communication scheme for delay-sensitive services under SDN scenarios, which can simultaneously protect communication privacy and reduce the end-to-end latency. A self-adaptive method based on the mix-net framework is designed to dynamically modify the waiting threshold of mix nodes, which helps to reduce the communication latency. In order to preserve the degree of anonymity, the self-adaptive method is incorporated with a random walking strategy for packets forwarding. Both theoretical analysis and experimental results prove that our scheme provides a moderate degree of anonymity and effectively reduces the latency derived from mix-net by up to 50%.

关键词： Real-time systems Relays Entropy Lead Distance measurement Annealing Probabilistic logic

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