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19th International Workshop on Digital Forensics and Watermarking, IWDW 2020

作者： Zhao, Junjie Wang, Jinwei Nanjing University of Information Science and Technology Jiangsu210044 China State Key Laboratory of Mathematical Engineering and Advanced Computing Henan450001 China

ISBN: (纸本)9783030694487

Since the emergence of adversarial examples brings great security threat to deep neural network which is widely used in various fields, their forensics become very important. In this paper, a lightweight model for the forensics of adversarial example based on DCT-like domain is proposed. The DCT-like layer realizes the block conversion of data from the spatial domain to the frequency domain. Together with the color space transformation layer and the residual layer, the DCT-like layer realizes the simulation of JPEG quantization error. The feature statistical layer is used to obtain the statistical feature values of the feature map output by the frequency-division convolution, and at the same time, it also contains learnable hyperparameters. The group BN strategy ensures the effectiveness of the DCT-like layer and the feature statistical layer and promotes the accuracy of forensics. Experiments show that the proposed model not only reaches the highest accuracy we know, but also it only needs to train for one epoch to get a high-performance. © 2021, Springer Nature Switzerland AG.

关键词： Deep neural networks

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The Lattice Sieve Field Selection of Cado-NFS 2

The Lattice Sieve Field Selection of Cado-NFS

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2019 2nd International Conference on Computer Information Science and Artificial Intelligence, CISAI 2019

作者： Xue, Ping Chen, Shaozhen Fu, Zhixin Institute of Cyberspace Security PLA Information Engineering University Hennan450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Hennan450001 China

The software application of the discrete logarithms on the "large" finite field is studied. The most effective algorithm for the problem is the general number field sieve (GNFS). Focusing on the theory of GNFS of solving software Cado-NFS and lattice sieves, we find the selection of lattice sieve which improve efficiency of CADO-NFS. This is the first parameter modification suggest. The efficiency of our selection is better than the current by experiment. © Published under licence by IOP Publishing Ltd.

关键词： Sieves

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Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA 19

Implementation of Hodgkin-Huxley Spiking Neuron Model Using ...

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19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Yi, Zexuan Fu, Wenlong Cao, Lihong Neuroscience and Intelligent Media Institute Communication University of China Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781728105352

For the study of new computer architecture inspired by brain, implementing neuron function on hardware has become an emerging research direction. To study the feasibility of biological neuron implementation and acceleration characteristics on the hardware platform, the basic Hodgkin-Huxley (HH) neuron model and a small scale of synapse connection model is implemented on Xilinx Zynq7 Zedboard FPGA, high-level-synthesis method is used to reduce the burden of hardware design. The Hodgkin-Huxley model simulation result of FPGA are validated through high level software simulation tool in Brian2, furthermore, resource utilization and calculation time cost are provided in this paper, finally, a pipeline design of HH neuron model is used to accelerate calculations and reduce resource utilization, the result proves that this design is suitable for HH model simulation. © 2019 IEEE.

关键词： Neurons

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SGCAM-an comprehensive analysis method for information risk assessment index system 3

SGCAM-an comprehensive analysis method for information risk ...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Chen, Yu Wang, Jin-Dong Wang, Kun Li, Tao Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

The method based on index system is a typical quantitative method for information security risk assessment. But, because of the complexity of the safety-related factors, during the process ofbuilding its index system, it will inevitably produce some irrelevant and redundant indicators index, thereby resulting in the deviation of the assessment results. To solve this problem, this paper proposes a new analysis method named SGCAM (Sobol and Gray relational clustering Comprehensive Analysis Method) based on Sobol based global sensitivity analysis method and gray relational clustering analysis method. Using this method, we can cut irrelevant indicators, merge redundant indicators, and optimize the index system ultimately.

关键词： Risk assessment

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Research for modeling network security based on attack-defense grapy of state reduction 3

Research for modeling network security based on attack-defen...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Li, Tao Zhang, Hengwei Wang, Jindong Wang, Na Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

In order to assess network security threats better, we model the attacker's and defender's behavior based on attackdefense graph from the perspective of both attacker and defender, which lays the foundation of the further research for the scientific and precise information security threat assessment. Due to the existing problems of generating traditional attack-defense graph (e.g. explosion of state space, and the large-scale and complex generation of attack-defense graph), we in this paper propose a method for generating attack-defense graph based on state reduction, then we model the behavior of attacker and defender in network security. Finally, the method and the model proposed in this paper are proved to be scientific and effective within a typical network scenario.

关键词： Network security

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Practical attacks on decoy-state quantum-key-distribution systems with detector efficiency mismatch

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Physical Review A 2015年第5期91卷 052305-052305页

作者： Yangyang Fei Ming Gao Weilong Wang Chaobo Li Zhi Ma State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450001 China

To the active-basis-choice decoy-state quantum-key-distribution systems with detector efficiency mismatch, we present a modified attack strategy, which is based on the faked states attack, with quantum nondemolition measurement ability to restress the threat of detector efficiency mismatch. Considering that perfect quantum nondemolition measurement ability doesn't exist in real life, we also propose a practical attack strategy using photon number resolving detectors. Theoretical analysis and numerical simulation results show that, without changing the channel, our attack strategies are serious threats to decoy-state quantum-key-distribution systems. The eavesdropper may get some information about the secret key without causing any alarms. Besides, the lower bound of detector efficiency mismatch to run our modified faked states attack successfully with perfect quantum nondemolition measurement ability is also given out, which provides the producers of quantum-key-distribution systems with a reference and can be treated as the approximate secure bound of detector efficiency mismatch in decoy-state quantum-key-distribution systems.

关键词： QUANTUM systems QUANTUM states DETECTORS CYBERTERRORISM QUANTUM measurement

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IoT Device Multi-Classification Using Traffic Behavior Analysis 3

IoT Device Multi-Classification Using Traffic Behavior Analy...

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3rd International Conference on Internet of Things and Smart City, IoTSC 2023

作者： Shi, Jiaqi Liu, Tieming Zhang, Yuanyuan Ren, Huajuan Cyberspace Security Department State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Service Room Unit 32738 China

ISBN: (纸本)9781510666375

The management of Internet of Things (IoT) devices is becoming increasingly complex. One of the reasons is that IoT device manufacturers are different, and there are different degrees of heterogeneity in service, technology, protocol and other aspects. Accurate identification IoT devices connected to the organization network is an effective way to maintain the organization network security. In this paper, we propose a two-stage machine learning method to identify IoT devices by analyzing network traffic. This method uses the futures of the original traffic advance to classify the types of IoT devices. The method is tested on two public datasets, our method classified IoT devices with an accuracy rate of over 99%. © 2023 SPIE.

关键词： Machine learning

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Malware homology identification based on a gene perspective

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Frontiers of Information Technology & Electronic engineering 2019年第6期20卷 801-815页

作者： Bing-lin ZHAO Zheng SHAN Fu-dong LIU Bo ZHAO Yi-hang CHEN Wen-jie SUN State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China Georg-August-University of Goettingen Goettingen 37077 Germany

Malware homology identification is important in attacking event tracing, emergency response scheme generation, and event trend prediction. Current malware homology identification methods still rely on manual analysis, which is inefficient and cannot respond quickly to the outbreak of attack events. In response to these problems, we propose a new malware homology identification method from a gene perspective. A malware gene is represented by the subgraph, which can describe the homology of malware families. We extract the key subgraph from the function dependency graph as the malware gene by selecting the key application programming interface(API) and using the community partition algorithm. Then, we encode the gene and design a frequent subgraph mining algorithm to find the common genes between malware families. Finally, we use the family genes to guide the identification of malware based on homology. We evaluate our method with a public dataset, and the experiment results show that the accuracy of malware classification reaches 97% with high efficiency.

关键词： Malware classification Gene perspective Dependency graph Homology analysis

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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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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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