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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: into cyber security to construct smart models for implementing malware classification and intrusion detection

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

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Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts Research Articles

Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 361-381 doi: 10.1631/FITEE.2000436

Abstract: design and can construct script fragments at different levels, state-of-the-art static analysis based attackdetection approaches are inherently vulnerable to obfuscations.Furthermore, we design the first semantic-aware attack detection system that leverages the classic objective-orientedBy deploying our deobfuscation method, the attack detection rates for Windows Defender and VirusTotalMoreover, our detection system outperforms both existing tools with a 96.7% true positive rate and a

Keywords： PowerShell     Abstract syntax tree     Obfuscation and deobfuscation     Malicious script detection    

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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 compressionunder external load and a corrosion products filling effect, and this corresponded with detection ofWith 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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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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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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Distribution system state estimation: an overview of recent developments Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 4-17 doi: 10.1631/FITEE.1800590

Abstract:

In the envisioned smart grid, high penetration of uncertain renewables, unpredictable participation of (industrial) customers, and purposeful manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system state estimation (PSSE). Nonetheless, most real-time data available in the current and upcoming transmission/distribution systems are nonlinear in power system states (i.e., nodal voltage phasors). Scalable approaches to dealing with PSSE tasks undergo a paradigm shift toward addressing the unique modeling and computational challenges associated with those nonlinear measurements. In this study, we provide a contemporary overview of PSSE and describe the current state of the art in the nonlinear weighted least-squares and least-absolutevalue PSSE. To benchmark the performance of unbiased estimators, the Cramér-Rao lower bound is developed. Accounting for cyber attacks, new corruption models are introduced, and robust PSSE approaches are outlined as well. Finally, distribution system state estimation is discussed along with its current challenges. Simulation tests corroborate the effectiveness of the developed algorithms as well as the practical merits of the theory.

Keywords： Feasible point pursuit     Semidefinite relaxation     Proximal linear algorithm     Composite optimization     Cyber attack     Bad data detection    

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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)’,In this paper, we propose a PUEA detection method that exploits the radio channel information to detectThe closed-form expressions for the false-alarm probability and the detection probability of the proposedPUEA detection method are derived.Numerical results show that the proposed PUEA detection method performs well although the difference

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

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords： Biosensor     Airborne microorganisms     Microbiological detection technology    

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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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Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords： perchlorate     SERS     detection     substrate     modification     nanostructure    

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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

Keywords： Antibiotic contamination     Spectral detection     Machine learning    

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Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 44-55

Abstract: Pulse radiation detection has found its various applications in scientific researches, including nuclearThese diagnostic techniques and their relative detection systems, the design principle, the parameters

Keywords： fission reaction     fusion reaction     pulse radiation detection     detecting system     neutron detection     gamma-raydetection    

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Title Author Date Type Operation

Cyber security meets artificial intelligence: a survey

Jian-hua LI

Journal Article

Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts

Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn

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

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

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

Distribution system state estimation: an overview of recent developments

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

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

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

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

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Journal Article