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18th Chinese Conference on Biometric Recognition, CCBR 2024

作者： Chen, Xianbiao Xie, Xiaohua School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Province Key Laboratory of Information Security Technology Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China

ISBN: (纸本)9789819610679

In real-world scenarios, the changes of illumination are noticeable and can significantly impact the performance of re-identification (ReID) algorithms. However, the existing person ReID methods predominantly concentrate on tackling challenges in scenarios with minimal illumination fluctuations. The key to tackling this issue is to extract illumination-invariant features. So we propose a joint learning framework which combines the recovery of reflectance map and extraction of illumination-invariant feature. By sharing parameters, the proposed module, which can be seamlessly detached during the inference phase, contributes to a reduction in inference computation time. We also introduce an adversarial learning mechanism, utilizing illumination category and person identity to facilitate the extraction of features that are invariant to illumination. Besides, due to the lack of person ReID dataset containing images under diverse lighting conditions, we construct a real-world dataset called ICReID in which images have drastic illumination changes. Extensive experiments demonstrate the effectiveness of the proposed method, which achieves significant performance on both synthetic and real datasets. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Detection and localization of cyber attacks on water treatment systems:an entropy-based approach

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Frontiers of Information Technology & Electronic engineering 2022年第4期23卷 587-603页

作者： Ke LIU Mufeng WANG Rongkuan MA Zhenyong ZHANG Qiang WEI State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China College of Control Science and Engineering Zhejiang UniversityHangzhou310027China

With the advent of Industry 4.0,water treatment systems(WTSs)are recognized as typical industrial cyber-physical systems(iCPSs)that are connected to the open *** information technology(IT)benefits the WTS in the aspects of reliability,efficiency,and ***,the vulnerabilities exposed in the communication and control infrastructure on the cyber side make WTSs prone to cyber *** traditional IT system oriented defense mechanisms cannot be directly applied in safety-critical WTSs because the availability and real-time requirements are of great *** this paper,we propose an entropy-based intrusion detection(EBID)method to thwart cyber attacks against widely used controllers(e.g.,programmable logic controllers)in WTSs to address this *** of the varied WTS operating conditions,there is a high false-positive rate with a static threshold for ***,we propose a dynamic threshold adjustment mechanism to improve the performance of *** validate the performance of the proposed approaches,we built a high-fidelity WTS testbed with more than 50 measurement *** conducted experiments under two attack scenarios with a total of 36attacks,showing that the proposed methods achieved a detection rate of 97.22%and a false alarm rate of 1.67%.

关键词： Industrial cyber-physical system Water treatment system Intrusion detection Abnormal state Detection and localization Information theory

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The Adjacency Codes of the First Yellow Graphs

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Journal of Systems Science & Complexity 2023年第4期36卷 1757-1768页

作者： SHI Minjia LI Shitao KIM Jon-Lark SOLE Patrick Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationSchool of Mathematical SciencesAnhui UniversityHefei 230601China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing 100093China School of Mathematical Sciences Anhui UniversityHefei 230026China Department of Math Sogang UniversitySeoulSouth Korea Aix Marseille Univ CNRSCentrale MarseilleI2MMarseilleFrance

The authors study the binary codes spanned by the adjacency matrices of the strongly regular graphs(SRGs)on at most two hundred vertices whose existence is *** authors show that in length less than one hundred they cannot be cyclic,except for the exceptions of the SRGs of parameters(85,42,20,21)and(96,60,38,36).In particular,the adjacency code of a(85,42,20,21)is the zero-sum *** the range[100,200]the authors find 29 SRGs that could possibly have a cyclic adjacency code.

关键词： Cyclic codes strongly regular graphs adjacency codes self-orthogonal codes

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NAS Honeypot Technology Based on Attack Chain 10th

NAS Honeypot Technology Based on Attack Chain

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10th International Conference on Computer engineering and Networks, CENet 2020

作者： Liu, Bing Shu, Hui Kang, Fei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789811584619

With the wide application of network attached storage (NAS), the security problem is becoming more and more serious, together with the increasingly fierce attacks against NAS devices of different manufacturers. In order to better capture various types of attacks against NAS devices and detect security threats in time, this paper proposes a solution named NAS honeypot, mining the potential security threats through modeling and analyzing the NAS threats. Then a NAS honeypot based on device virtualization technology and depth monitoring and attack induction was designed on the basis of the construction NAS attack chain. Experimental results show that the NAS honeypot can effectively capture, record and analyze network attacks against multi-types NAS devices with a strong guiding effect in mastering popular attack method of NAS devices and alleviating the security threats of NAS. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Security systems

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OpenMP automatic translation framework for Sunway TaihuLight 3

OpenMP automatic translation framework for Sunway TaihuLight

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3rd IEEE International Conference on Communications, Information System and Computer engineering, CISCE 2021

作者： Li, Mingliang Pang, Jianmin Yue, Feng Wang, Qihan State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou China

ISBN: (纸本)9780738112152

The Sunway processor is a unique heterogeneous many-core processor used by Sunway TaihuLight supercomputer. However, developing parallel programs on the Sunway processor is still complex. In this paper, a source-to-source translation framework for the Sunway heterogeneous many-core processors is designed and implemented, which can transform OpenMP programs into many-core accelerated programs amenable to the Sunway architecture. Considering differences between the OpenMP shared-memory programming model and the Sunway programming model, a translation model has been proposed for converting OpenMP programs. A set of runtime functions based on the Sunway architecture has been implemented, including a tree-based reduction algorithm and an effective distributed lock mechanism. The experimental results show that the translation framework can correctly translate OpenMP programs, and the proposed lock mechanism reduces the overhead by up to 90% against the baseline. © 2021 IEEE.

关键词： Supercomputers

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Stance Detection for Social Text: Inference-Enhanced Multi-Task Learning with Machine-Annotated Supervision

Stance Detection for Social Text: Inference-Enhanced Multi-T...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qiankun Pi Jicang Lu Yepeng Sun Qinlong Fan Xukun Zhou Shouxin Shang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China School of Information Renmin University of China Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Stance detection, a natural language processing technique, captures user attitudes on controversial social media topics. However, the semantic ambiguity of social texts makes accurate stance determination challenging. Existing annotated data is often domain-specific, resulting in poor model generalization for unseen targets and cross-domain scenarios. To tackle this challenge, we introduce inference tasks related to stance detection as auxiliary tasks and use a multitask learning approach to improve the model’s understanding of textual semantics. Meanwhile, to alleviate the scarcity of annotated data, we use argumentation corpus with abundant resources as the source domain to train the basic stance detection model. We integrate this model with a large-scale framework to facilitate weakly supervised learning for machine annotation of unlabeled social texts, thereby boosting the model’s adaptability across different targets and domains. Experimental results on four Twitter datasets demonstrate that our method can significantly improve the model’s stance discriminative ability and generalization performance.

关键词： Adaptation models Weak supervision Social networking (online) Annotations Semantics Blogs Transfer learning Signal processing Data models Speech processing

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Research on key Technology of Industrial Network Boundary Protection based on Endogenous Security 4

Research on Key Technology of Industrial Network Boundary Pr...

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4th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021

作者： Yu, Fei Wei, Qiang Geng, Yangyang Wang, Yunchao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9781728185347

Industrial network boundary protection equipment faces threats from attackers when protecting the industrial control system network. The similarity and static characteristics caused by large-scale and long-term deployment determine that it could only defend against known attacks but could not deal with unknown APT threats, which leads to the breakthrough of one defense line is equivalent to the breakthrough of all defense lines and may bring challenges to industrial production safety. This paper proposes a mimic defense model of industrial isolation gateway based on endogenous security. With the dynamic scheduling mechanism to transform the attack surface, the gateway selects multiple heterogeneous filter executors to process the same packet simultaneously. By comparing the processing results of each executor, anomaly detection is carried out to realize the dynamic defense of the industrial isolation gateway. The experimental results show that the industrial isolation gateway based on mimic architecture can significantly increase the difficulty of backdoor utilization, such as paralysis, rule tampering, and information theft, and effectively defend the industrial control system from the threats caused by the backdoors and vulnerabilities of the isolation gateway while exerting the normal boundary protection function. © 2021 IEEE.

关键词： Anomaly detection

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Anti-obfuscation Binary Code Clone Detection Based on Software Gene 7th

Anti-obfuscation Binary Code Clone Detection Based on Softwa...

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7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021

作者： Tang, Ke Liu, Fudong Shan, Zheng Zhang, Chunyan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789811659393

Information technology facilitates people’s lives greatly, while it also brings many security issues, such as code plagiarism, software in-fringement, and malicious code. In order to solve the problems, reverse engineering is applied to analyze abundant binary code manually, which costs a lot of time. However, due to the maturity of different obfuscation techniques, the disassembly code generated from the same function differs greatly in the opcode and control flow graph through different obfuscation options. This paper propose a method inspired by natural language processing, to realize the semantic similarity matching of binary code in basic block granularity and function granularity. In the similarity matching task of binary code obtained by different obfuscation options of LLVM, the indicator reaches 99%, which is better than the existing technologies. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Genes

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Network Device Identification Based on MAC Boundary Inference 7th

Network Device Identification Based on MAC Boundary Inferenc...

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Guo, Xinmiao Li, Xiangnan Li, Ruixiang Wang, Xiuting Luo, Xiangyang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China

ISBN: (纸本)9783030786205

Network device is an important part of cyberspace, and accurate identification of network device is the basis of network management and security analysis. The current identification method based on MAC address is rely on converting MAC address and other information into fingerprints and MAC address distance to identify network device eventually. However, this identification method based on MAC address distance has high false alarm rate. A method for network device identification based on MAC boundary inference is proposed. Considering the device manufacturers’ strategies of allocating MAC addresses in sequence for devices with same type, the relationship between the type and MAC address is built according known devices firstly. Then, MAC address aggregation rule is built to infer the MAC prefix for those known type, and the MAC boundary is obtained. Finally, the type of target network device is identified by matching target MAC with MAC prefix, or calculating the distance between target MAC with the MAC boundary. The experimental result in simulation dataset show that the identification method proposed in this paper is better than the identification method based on MAC address distance significantly, and then been less affected by the distribution of MACs of known devices. And the experimental result in Cisco device dataset show that our method increases the identification accuracy rate of the identification method based on MAC address distance by 11.9%. © 2021, Springer Nature Switzerland AG.

关键词： Computers

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IPv6 Landmark Mining Based on Domain Name Screening and IPv4-IPv6 Connection 21

IPv6 Landmark Mining Based on Domain Name Screening and IPv4...

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5th International Conference on Electronic Information Technology and Computer engineering, EITCE 2021

作者： Liu, Minghao Sun, Yuchen Liu, Chong Zu, Shuodi Zhang, Fan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

ISBN: (纸本)9781450384322

Existing IP landmark mining technologies mainly focus on IPv4, and less attention is paid to the association between IPv4 and IPv6. The current IPv6 network has fewer reliable landmarks with limited accuracy, while the IPv4 network already has a large number of reliable landmarks. If IPv4 landmarks can be used in IPv6 landmark mining, the accuracy and efficiency of IPv6 landmark acquisition will be improved. To this end, this paper proposes an IPv6 landmark mining method based on domain name screening and IPv4-IPv6 connection. This method first uses the domain names of government agencies, top universities, and top websites as seed domain names, and continuously obtains a large number of domain names through web crawlers;then performs DNS resolution on the obtained domain names to obtain their corresponding IPv4 address and IPv6 address;and finally evaluate and analyze whether the two addresses are located in the same location, and determine whether to use it as an IPv6 landmark. This method successfully associates the IPv4 geolocation with the IPv6 geolocation, and uses the IPv4 landmarks to obtain and evaluate the IPv6 landmarks. Experimental results show that this method can obtain city-level IPv6 network landmarks more efficiently, and it also has a certain ability in street-level landmark mining. © 2021 ACM.

关键词： Mining

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