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Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Strategic Study of CAE 2001, Volume 3, Issue 6,   Pages 75-80

Abstract: cipher proposed in “Design of Block Cipher substitution network on chaos” can be broken by attackwith known plaintext and attack with ciphertext only, and the key of this cipher can be found by thedivide-and-conquer attack with the encipher transformation.

Keywords： chaos sequence     block cipher     transposition cipher     attack with known plaintext     attack with ciphertext only     divide-and-conquer attack    

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A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 215-221 doi: 10.1007/s11465-006-0004-4

Abstract: The most interesting feature of the proposed super-element approach is its divide-and-conquer ability

Keywords： numerical     effective decomposing     parameterization procedure     divide-and-conquer ability     time-domain identification    

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The damage evolution behavior of polypropylene fiber reinforced concrete subjected to sulfate attack

Ninghui LIANG; Jinwang MAO; Ru YAN; Xinrong LIU; Xiaohan ZHOU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 316-328 doi: 10.1007/s11709-022-0810-8

Abstract: the damage evolution behavior of polypropylene fiber reinforced concrete (PFRC) subjected to sulfate attackThe effect of sulfate attack relative to time and fiber hybridization were analyzed and the compressionIn the initial stage of sulfate attack, the concrete micropores and microcracks were compacted graduallyWith increasing sulfate attack time, AE activity decreased.After 150 d of sulfate attack, the cumulative AE ringing counts of plain concrete went down by about

Keywords： polypropylene fiber reinforced concrete     sulfate attack     damage evolution behavior     acoustic emission    

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Evaluating effect of chloride attack and concrete cover on the probability of corrosion

Sanjeev Kumar VERMA, Sudhir Singh BHADAURIA, Saleem AKHTAR

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 379-390 doi: 10.1007/s11709-013-0223-9

Abstract: Corrosion of reinforced concrete (RC) structures is one of the significant causes of deterioration of reinforced concrete (RC) structures. Chlorination is a major process governing the initiation and advancement of the injurious corrosion of steel bars. Now, several researches on the chlorination of concrete structures have been ongoing around the world. Present article reviews several recently performed chlorination studies, and from results of a field survey evaluates the effect of chloride content on the probability of corrosion and the influence of concrete compressive strength on the chloride content and penetration, also evaluates the effect of concrete cover over the chloride content of the RC structures at rebar depth and on the probability of corrosion.

Keywords： concrete     chloride     reinforcement     corrosion     deterioration     cover    

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Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 71-79 doi: 10.15302/J-SSCAE-2019.06.014

Abstract:

As an important development direction of naval warfare, the underwater attack–defense confrontationsystem integrates underwater warning, scout, detection, attack, defense and a series of other operationspowers, and analyzes the functional composition and typical combat styles of the future underwater attackconfrontation system, and proposes corresponding suggestions for the development of the underwater attack

Keywords： underwater attack and defense     confrontation system     coordinated combat     unmanned system    

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One-Variable Attack on The Industrial Fault Classification System and Its Defense Article

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Engineering 2022, Volume 19, Issue 12,   Pages 240-251 doi: 10.1016/j.eng.2021.07.033

Abstract: This paper proposes a black-box attack method with an extreme constraint for a safe-critical industrialUsing the one-variable attack (OVA) method, we explore the vulnerability of industrial variables andBased on the attack method, a corresponding adversarial training defense method is also proposed, whichFor industrial fault classification systems, the attack success rate of our method is close to (on TEP) or even higher than (on SP) the current most effective first-order white-box attack method, which requires

Keywords： Adversarial samples     Black-box attack     Industrial data security     Fault classification system    

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On detecting primary user emulation attack using channel impulse response in the cognitive radio network Article

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1665-1676 doi: 10.1631/FITEE.1700203

Abstract: However, a serious denial-of-service (DoS) attack, named the ‘primary user emulation attack (PUEA)’,

Keywords： Cognitive radio network     Primary user emulation attack     Subspace-based blind channel estimation     Channel    

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A time−space porosity computational model for concrete under sulfate attack

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0985-7

Abstract: The deterioration of the microscopic pore structure of concrete under external sulfate attack (ESA) is

Keywords： expansion deformation     porosity     internal expansion stress     external sulfate attack     mechanical–chemical    

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Resilient distributed economic dispatch of a cyber-power system under DoS attack Research Articles

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000201

Abstract: economy of a class of cyber-power systems when the communication network is subject to malicious DoS attack

Keywords： Economic dispatch     Denial of service (DoS) attack     Resilient event-triggered scheme     Distributed optimization    

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Correlation power attack on amessage authentication code based on SM3 Research Articles

Ye YUAN, Kai-ge QU, Li-ji WU, Jia-wei MA, Xiang-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 930-945 doi: 10.1631/FITEE.1800312

Abstract: In this paper, a skillful bit-wise chosen-plaintext correlation power attack procedure is proposed forReal attack experiments on a field programmable gate array (FPGA) board have been performed.

Keywords： HMAC-SM3     Side channel analysis     Correlation power attack     Bit-wise chosen-plaintext    

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The East–West Divide in Response to COVID-19 Article

Dean T Jamison, Kin Bing Wu

Engineering 2021, Volume 7, Issue 7,   Pages 936-947 doi: 10.1016/j.eng.2021.05.008

Abstract: that currently available information points to the factors most responsible for the East–West divideMuch of the East–West divide plausibly results from failure in the West to implement the basicoutbreaks, while the slow rollout of vaccines in lower income countries is replacing the East–West divide

Keywords： Coronavirus disease 2019     Isolation     Non-pharmaceutical interventions     Pandemic     Vaccination    

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Calculation of the Behavior Utility of a Network System: Conception and Principle Article

Changzhen Hu

Engineering 2018, Volume 4, Issue 1,   Pages 78-84 doi: 10.1016/j.eng.2018.02.010

Abstract: We also provide a calculation framework for assessment of the network’s attack-defense confrontation

Keywords： Network metric evaluation     Differential manifold     Network behavior utility     Network attack-defense confrontation    

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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced into cyber security to construct smart models for implementing malware classification and intrusion detection and threating intelligence sensing. On the other hand, AI models will face various cyber threats, which will disturb their sample, learning, and decisions. Thus, AI models need specific cyber security defense and protection technologies to combat adversarial machine learning, preserve privacy in machine learning, secure federated learning, etc. Based on the above two aspects, we review the intersection of AI and cyber security. First, we summarize existing research efforts in terms of combating cyber attacks using AI, including adopting traditional machine learning methods and existing deep learning solutions. Then, we analyze the counterattacks from which AI itself may suffer, dissect their characteristics, and classify the corresponding defense methods. Finally, from the aspects of constructing encrypted neural network and realizing a secure federated deep learning, we expatiate the existing research on how to build a secure AI system.

Keywords： Cyber security     Artificial intelligence (AI)     Attack detection     Defensive techniques    

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Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: While autonomous vehicles are vital components of intelligent transportation systems, ensuring the trustworthiness of decision-making remains a substantial challenge in realizing autonomous driving. Therefore, we present a novel robust reinforcement learning approach with safety guarantees to attain trustworthy decision-making for autonomous vehicles. The proposed technique ensures decision trustworthiness in terms of policy robustness and collision safety. Specifically, an adversary model is learned online to simulate the worst-case uncertainty by approximating the optimal adversarial perturbations on the observed states and environmental dynamics. In addition, an adversarial robust actor-critic algorithm is developed to enable the agent to learn robust policies against perturbations in observations and dynamics. Moreover, we devise a safety mask to guarantee the collision safety of the autonomous driving agent during both the training and testing processes using an interpretable knowledge model known as the Responsibility-Sensitive Safety model. Finally, the proposed approach is evaluated through both simulations and experiments. These results indicate that the autonomous driving agent can make trustworthy decisions and drastically reduce the number of collisions through robust safety policies.

Keywords： Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

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CORMAND2: A Deception Attack Against Industrial Robots Article

Hongyi Pu,Liang He,Peng Cheng,Jiming Chen,Youxian Sun

Engineering 2024, Volume 32, Issue 1,   Pages 186-202 doi: 10.1016/j.eng.2023.01.013

Abstract: design Covering Robot Manipulation via Data Deception (CORMAND2), an automated cyber–physical attack

Keywords： Industrial robots     Vulnerability analysis     Deception attacks     Defenses    

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Title Author Date Type Operation

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Journal Article

A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Journal Article

The damage evolution behavior of polypropylene fiber reinforced concrete subjected to sulfate attack

Ninghui LIANG; Jinwang MAO; Ru YAN; Xinrong LIU; Xiaohan ZHOU

Journal Article

Evaluating effect of chloride attack and concrete cover on the probability of corrosion

Sanjeev Kumar VERMA, Sudhir Singh BHADAURIA, Saleem AKHTAR

Journal Article

Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Journal Article

One-Variable Attack on The Industrial Fault Classification System and Its Defense

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Journal Article

On detecting primary user emulation attack using channel impulse response in the cognitive radio network

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Journal Article

A time−space porosity computational model for concrete under sulfate attack

Journal Article

Resilient distributed economic dispatch of a cyber-power system under DoS attack

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Journal Article

Correlation power attack on amessage authentication code based on SM3

Ye YUAN, Kai-ge QU, Li-ji WU, Jia-wei MA, Xiang-min ZHANG

Journal Article

The East–West Divide in Response to COVID-19

Dean T Jamison, Kin Bing Wu

Journal Article

Calculation of the Behavior Utility of a Network System: Conception and Principle

Changzhen Hu

Journal Article

Cyber security meets artificial intelligence: a survey

Jian-hua LI

Journal Article

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Journal Article

CORMAND2: A Deception Attack Against Industrial Robots

Hongyi Pu,Liang He,Peng Cheng,Jiming Chen,Youxian Sun

Journal Article