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SROBR: Semantic Representation of Obfuscation-Resilient Binary Code

Wireless Communications and Mobile computing 2022年第0期2022卷

作者： Tang, Ke Shan, Zheng Liu, Fudong Huang, Yizhao Sun, Rongbo Qiao, Meng Zhang, Chunyan Wang, Jue Gui, Hairen State Key Laboratory of Mathematical Engineering and Advanced Computing China

With the rapid development of information technology, the scale of software has increased exponentially. Binary code similarity detection technology plays an important role in many fields, such as detecting software plagiarism, vulnerabilities discovery, and copyright solution issues. Nevertheless, what cannot be ignored is that a variety of approaches to binary code semantic representation have been introduced recently, but few can catch up with existing code obfuscation techniques due to their maturing and extensive development. In order to solve this problem, we propose a new neural network model, named SROBR, which is a deep integration of natural language processing model and graph neural network. In SROBR, BERT is applied to capture sequence information of the binary code at the first place, and then GAT is utilized to capture the structural information. It combines natural language processing and graph neural network, which can capture the semantic information of binary programs while resisting obfuscation options in a more efficient way. Through binary code similarity detection task and obfuscated option classification task, the experimental results demonstrate that SROBR outperforms existing binary similarity detection methods in resisting obfuscation techniques. © 2022 Ke Tang et al.

关键词： Semantics

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Medical image registration and its application in retinal images:a review

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Visual computing for Industry,Biomedicine,and Art 2024年第1期7卷 142-164页

作者： Qiushi Nie Xiaoqing Zhang Yan Hu Mingdao Gong Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Singapore Eye Research Institute Singapore 169856Singapore State Key Laboratory of Ophthalmology Optometry and Visual ScienceEye HospitalWenzhou Medical UniversityWenzhou 325027China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse informa-tion of images,which may be captured under different times,angles,or *** several surveys have reviewed the development of medical image registration,they have not systematically summarized the existing med-ical image registration *** this end,a comprehensive review of these methods is provided from traditional and deep-learning-based perspectives,aiming to help audiences quickly understand the development of medical image *** particular,we review recent advances in retinal image registration,which has not attracted much *** addition,current challenges in retinal image registration are discussed and insights and prospects for future research provided.

关键词： Computer-aided diagnosis Medical image registration Deep learning Generative model Transformer Retina

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Overview of Intrusion Detection in Smart Substation 10

Overview of Intrusion Detection in Smart Substation

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

作者： Li, Zecun Ma, Rongkuan Xie, Yaobin Lu, Li State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Shangu Cyber Security Technology Co. Ltd Zhengzhou China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

The development of Cyber-Physical Fusion Technology gradually takes the power grid in the direction of intelligence, making the smart substation a typical cyber-physical fusion system. However, while the introduction of the IEC61850 standard solves the interoperability problem of smart substations, it also brings new types of cybersecurity threats. Therefore, traditional network intrusion detection techniques do not apply to smart substations, and it is particularly important to analyze and summarize the current relevant research on the security of smart substations. The main contribution of this paper is to discuss the security of smart substations in terms of threat behaviors and defense measures. In-depth analysis is carried out from the three attack perspectives of the information domain, physical domain, and cyber-physical intersection domain, and the detection methods, detection objects, and detection evaluation methods for smart substation security are summarized. Finally, the problems to be solved in smart substations and possible future research directions are discussed. © 2022 IEEE.

关键词： Cybersecurity

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One-step implementation of a nonadiabatic geometric fSim gate in superconducting circuits

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Physical Review A 2024年第2期110卷 022608-022608页

作者： M.-R. Yun Zheng Shan L.-L. Sun L.-L. Yan Y. Jia Shi-Lei Su Gang Chen School of Physics and Laboratory of Zhongyuan Light Key Laboratory of Materials Physics of Ministry of Education State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 Henan China College of Physics Institute of Quantum Materials and Physics Key Laboratory for Special Functional Materials of Ministry of Education and School of Materials and Engineering

Due to their significant application in reducing algorithm depth, fSim gates have attracted a lot of attention. However, during the implementation of quantum gates, fluctuations in control parameters and decoherence caused by the environment may lead to a decrease in the fidelity of the gate. Implementing an fSim gate that is robust to these factors in one step remains an unresolved issue. In this paper, we propose a one-step implementation of a nonadiabatic geometric fSim gate composed of a nonadiabatic holonomic controlled-phase (cp) gate and a nonadiabatic noncyclic geometric iswap gate with parallel paths in a tunable superconducting circuit. Compared to the composite nonadiabatic geometric fSim gate composed of a nonadiabatic holonomic cp gate and a nonadiabatic geometric iswap gate, our scheme takes only half the time and demonstrates robustness to parameter fluctuations, as well as to environmental impacts. Moreover, the scheme does not require complex controls, making it very easy to implement in experiments, and can be achieved in various circuit structures. Our scheme may provide a promising path toward quantum computation and simulation.

关键词： Geometric & topological phases Quantum computation Quantum gates

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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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Automatic protocol reverse engineering for industrial control systems with dynamic taint analysis

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Frontiers of Information Technology & Electronic engineering 2022年第3期23卷 351-360页

作者： Rongkuan MA Hao ZHENG Jingyi WANG Mufeng WANG Qiang WEI Qingxian WANG State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China Zhejiang University NGICS Platform Hangzhou 310000China

Proprietary(or semi-proprietary)protocols are widely adopted in industrial control systems(ICSs).Inferring protocol format by reverse engineering is important for many network security applications,e.g.,program tests and intrusion *** protocol reverse engineering methods have been proposed which are considered time-consuming,tedious,and ***,automatical protocol reverse engineering methods have been proposed which are,however,neither effective in handling binary-based ICS protocols based on network traffic analysis nor accurate in extracting protocol fields from protocol *** this paper,we present a framework called the industrial control system protocol reverse engineering framework(ICSPRF)that aims to extract ICS protocol fields with high *** is based on the key insight that an individual field in a message is typically handled in the same execution context,e.g.,basic block(BBL)*** a result,by monitoring program execution,we can collect the tainted data information processed in every BBL group in the execution trace and cluster it to derive the protocol *** evaluate our approach with six open-source ICS protocol *** results show that ICSPRF can identify individual protocol fields with high accuracy(on average a 94.3%match ratio).ICSPRF also has a low coarse-grained and overly fine-grained match *** the same metric,ICSPRF is more accurate than AutoFormat(88.5%for all evaluated protocols and 80.0%for binary-based protocols).

关键词： Industrial control system(ICS) ICS protocol reverse engineering Dynamic taint analysis Protocol format

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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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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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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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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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