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New results on quantum boomerang attacks

Quantum Information Processing 2023年第4期22卷 1-27页

作者： Zou, Hongkai Zou, Jian Luo, Yiyuan College of Computer and Data Science Fuzhou University Fuzhou China Key Lab of Information Security of Network Systems Fuzhou University Fuzhou China School of Information Sciences and Technology Huizhou University Huizhou China

At SAC 2021, Frixons et al. proposed quantum boomerang attacks that can effectively recover the keys of block ciphers in the quantum setting. Based on their work, we further consider how to quantize the generic boomerang attacks proposed by Biham et al. at FSE 2002, so as to obtain more generic quantum boomerang attacks. Similar to Frixons et al.’s work, we only consider quantum key recovery attacks in the single-key setting. With the help of some famous quantum algorithms, this paper presents two methods to convert the attacks of Biham et al. into some new quantum key recovery attacks. In order to proof our methods, we apply our new ideas to attack Serpent-256 and ARIA-196. To sum up, for Serpent-256, we give valid 9-round and 10-round quantum key recovery attacks respectively. The quantum time complexity of 9-round and 10-round of Serpent-256 is 2 115.43 and 2 126.6 respectively. Furthermore, we show a valid quantum key attack on 6-round ARIA-196 which has a time complexity of 2 89.8 with negligible memory. The time complexity of the above quantum attacks are better than the corresponding classical attacks and quantum generic key recovery attack via Grover’s algorithm. © 2023, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Quantum theory

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RETRACTED ARTICLE: A method to device flow hash algorithm based traffic character

RETRACTED ARTICLE: A method to device flow hash algorithm ba...

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2008 11th IEEE International Conference on Communication technology, ICCT 2008

作者： Cheng, Guang Gong, Jian College of Computer Science and Engineering Southeast University Key Lab. of the Computer Network Technology Jiangsu Province Nanjing 210096 China

ISBN: (纸本)9781424422517

Flow sampling algorithms and data streaming algorithms have widely adopted the hashing algorithms to detect flow information at the high-speed links for the applications of the flow distribution, the number of flow, the heavy-tailed flow, and so on. Hashing algorithms involve transforming a key inside a hash value. But there aren't hash algorithms which are designed for flow measurement. In this paper, we propose a method to design flow hash algorithm based on traffic character. A bit probability distance metric is given to design a flow hash algorithm, and a flow hash algorithm is given using a CERNET trace, and the flow hash algorithm is compared with Bob and CRC hash algorithms by an uniformity test, the number of active flows tests, and a speed test. The experimental result shows that the flow hash algorithm is superior to others hash algorithms. © 2008 IEEE.

关键词： Hash functions

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Effect of computational delay on the convergence property of digital optical burst-mode receivers with parallel and pipelined design

Effect of computational delay on the convergence property of...

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Asia Communications and Photonics Conference, ACPC 2014

作者： Liu, Xinyu Xu, Bo Wu, Chenyu Key lab of optical fiber sensing and communication network Ministry of Education University of Electronic Science and Technology of China Chengdu611731 China

Parallel digital signal processing (DSP) with pipelined structure is proposed for 112 Gb/s optical burst-mode receiver (BMR). The effect of computational delay on the convergence speed of the equalizer and the overall... 详细信息

ISBN: (纸本)9781557528520

关键词： Digital signal processing

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Evaluating natural language generation via unbalanced optimal transport 29

Evaluating natural language generation via unbalanced optima...

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29th International Joint Conference on Artificial Intelligence, IJCAI 2020

作者： Chen, Yimeng Lan, Yanyan Xiong, Ruibin Pang, Liang Ma, Zhiming Cheng, Xueqi University of Chinese Academy of Sciences China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology CAS China Academy of Mathematics and Systems Science CAS China

ISBN: (纸本)9780999241165

Embedding-based evaluation measures have shown promising improvements on the correlation with human judgments in natural language generation. In these measures, various intrinsic metrics are used in the computation, including generalized precision, recall, F-score and the earth mover's distance. However, the relations between these metrics are unclear, making it difficult to determine which measure to use in real applications. In this paper, we provide an in-depth study on the relations between these metrics. Inspired by the optimal transportation theory, we prove that these metrics correspond to the optimal transport problem with different hard marginal constraints. However, these hard marginal constraints may cause the problem of incomplete and noisy matching in the evaluation process. Therefore we propose a family of new evaluation metrics, namely Lazy Earth Mover's Distances, based on the more general unbalanced optimal transport problem. Experimental results on WMT18 and WMT19 show that our proposed metrics have the ability to produce more consistent evaluation results with human judgements, as compared with existing intrinsic metrics. © 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.

关键词： Computation theory

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DBPD: A dynamic birthmark-based software plagiarism detection tool 26

DBPD: A dynamic birthmark-based software plagiarism detectio...

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26th International Conference on Software Engineering and Knowledge Engineering, SEKE 2014

作者： Tian, Zhenzhou Zheng, Qinghua Fan, Ming Zhuang, Eryue Wang, Haijun Liu, Ting Ministry of Education Key Lab For Intelligent Networks and Network Security Department of Computer Science and Technology Xi'an Jiaotong University Xi'an China

With the burst of open source software, software plagiarism has been a serious threat to the software industry. In this paper, we present the demo tool DBPD: Dynamic Birthmark-based Software Plagiarism Detection. Major features of DBPD could be summarized as: 1) dynamic birthmark. The execution process of software is captured to generate the birthmark reflecting intrinsic properties of software;2) high availability. It is available for crossplatform and binary executable's plagiarism detection;3) customizable. The birthmarks, similarity calculation metrics and detection criteria are configurable. The DBPD is implemented using C++ and Java, and currently can work under both Windows and Linux system. Three dynamic birthmarks are implemented in DBPD to identify the software according to its instruction, stack operation and system call. Copyright © 2014 by Knowledge Systems Institute Graduate School.

关键词： Dynamic birthmark Software plagiarism detection

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Polarization-dependent loss monitoring in stokes space in a digital coherent optical receiver

Polarization-dependent loss monitoring in stokes space in a ...

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Asia Communications and Photonics Conference, ACP 2013

作者： Yu, Zhenming Yi, Xingwen Deng, Mingliang Chen, Xuemei Qiu, Kun Key Lab of Optical Fiber Sensing and Communication Network Ministry of Education University of Electronic Science and Technology of China Chengdu 611731 China

We propose a novel and simple method that estimates polarization-dependent loss (PDL) in Stokes space in a digital coherent optical receiver. It is applicative to all single carrier and OFDM systems. © OSA 2013.

ISBN: (纸本)9781557529893

关键词： Polarization

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Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework

Controlling Risk of Retrieval-augmented Generation: A Counte...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Chen, Lu Zhang, Ruqing Guo, Jiafeng Fan, Yixing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798891761681

Retrieval-augmented generation (RAG) has emerged as a popular solution to mitigate the hallucination issues of large language models. However, existing studies on RAG seldom address the issue of predictive uncertainty, i.e., how likely it is that a RAG model's prediction is incorrect, resulting in uncontrollable risks in real-world applications. In this work, we emphasize the importance of risk control, ensuring that RAG models proactively refuse to answer questions with low confidence. Our research identifies two critical latent factors affecting RAG's confidence in its predictions: the quality of the retrieved results and the manner in which these results are utilized. To guide RAG models in assessing their own confidence based on these two latent factors, we develop a counterfactual prompting framework that induces the models to alter these factors and analyzes the effect on their answers. We also introduce a benchmarking procedure to collect answers with the option to abstain, facilitating a series of experiments. For evaluation, we introduce several risk-related metrics and the experimental results demonstrate the effectiveness of our approach. Our code and benchmark dataset are available at https://***/ictbigdatalab/RC-RAG. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

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An immune danger theory inspired model for network security monitoring

An immune danger theory inspired model for network security ...

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2010 International Conference on Challenges in Environmental science and Computer Engineering, CESCE 2010

作者： Sun, Feixian Han, Xinchao Wang, Jianhong School of Computer Science Zhongyuan University of Technology Zhengzhou China Zhengzhou Key Lab of Computer Network Security Assessment Zhengzhou China

ISBN: (纸本)9780769539720

In order to overcome the deficiencies of the traditional Artificial Immune Systems (AIS) in the security field of computer information system, an immune danger theory inspired model for network security monitoring is proposed in this paper. After introducing the back ground to the danger theory, a novel model for network security monitoring is presented. With the formal definitions of antigen, antibody, and detector improved, the computation method of affinity and danger signal are described. And then, the network attack monitoring algorithm is given. Theoretical analysis results show that the proposed model is feasible. Thus, it provides a good solution to the security assurance of computer information systems. © 2010 IEEE.

关键词： network security

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A Deep Exploration of BitLocker Encryption and Security Analysis 20

A Deep Exploration of BitLocker Encryption and Security Anal...

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20th IEEE International Conference on Communication technology, ICCT 2020

作者： Tan, Cheng Zhang, Lijun Bao, Liang Science and Technology on Communication Security Laboratory Chengdu China Security Ministry of Public Security Key Lab of Information Network Shanghai China

ISBN: (纸本)9781728181417

Due to the popularity of Windows system, BitLocker is widely used as a built-in disk encryption tool. As a commercial application, the design of BitLocker has to consider a capability of disaster recovery, which helps a user to recover data stored on encrypted disk when a regular access is not available. In this case, it will inevitably lead to some security risks when using BitLocker. We have a deep exploration of BitLocker encryption mechanism in this paper. We present the decryption method of encrypted VMK in case of system partition encryption and non-system partition encryption, respectively. VMK is the core key in BitLocker, with which the encrypted partition or the entire disk can be further decrypted. As for security analysis on BitLocker, we firstly make a difficulty analysis of brute force cracking on BitLocker keys, and then we analyze a possible threat caused by key theft. Based on this, we propose a few countermeasures about BitLocker usage. Additionally, we give some suggestions about security enhancement of BitLocker encryption. © 2020 IEEE.

关键词： Cryptography

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A Method for Improving CNN-Based Image Recognition Using DCGAN

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Computers, Materials & Continua 2018年第10期57卷 167-178页

作者： Wei Fang Feihong Zhang Victor S.Sheng Yewen Ding School of Computer&Software Jiangsu Engineering Center of Network MonitoringNanjing University of Information Science&TechnologyNanjing210044China State Key Lab.for Novel Software Technology Nanjing UniversityNanjing210023China Computer Science Department University of Central ArkansasConway AR72035USA

Image recognition has always been a hot research topic in the scientific community and *** emergence of convolutional neural networks(CNN)has made this technology turned into research focus on the field of computer vision,especially in image *** it makes the recognition result largely dependent on the number and quality of training ***,DCGAN has become a frontier method for generating images,sounds,and *** this paper,DCGAN is used to generate sample that is difficult to collect and proposed an efficient design method of generating *** combine DCGAN with CNN for the second *** DCGAN to generate samples and training in image recognition model,which based by *** method can enhance the classification model and effectively improve the accuracy of image *** the experiment,we used the radar profile as dataset for 4 categories and achieved satisfactory classification *** paper applies image recognition technology to the meteorological field.

关键词： DCGAN image recognition CNN samples

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