Resource Type

Journal Article 87

Year

2023 5

2022 6

2021 6

2020 7

2019 10

2018 10

2017 9

2016 2

2015 6

2014 1

2013 4

2012 7

2011 1

2009 1

2008 1

2007 2

2006 3

2005 1

2003 1

2002 3

open ︾

Keywords

classification 8

Machine learning 5

Classification 4

Support vector machine (SVM) 3

molecular classification 3

Deep convolutional neural network 2

Deep learning 2

Feature extraction 2

Malware classification 2

Multi-label classification 2

concrete structure 2

convolutional neural network 2

JH classification 1

Q and RMR classification 1

k-nearest neighbor (k-NN) 1

Active learning 1

Adversarial samples 1

Airflow acceleration classification 1

Alternating direction method of multipliers (ADMM) 1

open ︾

Search scope:

排序： Display mode:

Automatic malware classification and new malwaredetection using machine learning Article

Liu LIU, Bao-sheng WANG, Bo YU, Qiu-xi ZHONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1336-1347 doi: 10.1631/FITEE.1601325

Abstract: The explosive growth of malware variants poses a major threatto information security.Traditional anti-virus systems based on signaturesfail to classify unknown malware into their correspondingfamiliesand to detect new kinds of malware programs.The decision-making module uses the featuresto classify the malware and to identify suspicious malware98.9%, and successfullydetects 86.7% of the new malware.

Keywords： Malware classification     Machine learning     n-gram     Gray-scale image     Feature extraction     Malware detection    

HTML PDF Collect

Malware homology identification based on a gene perspective Research Papers

Bing-lin ZHAO, Zheng SHAN, Fu-dong LIU, Bo ZHAO, Yi-hang CHEN, Wen-jie SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 801-815 doi: 10.1631/FITEE.1800523

Abstract:

Malware homology identification is important in attacking event tracing, emergency response schemeCurrent malware homology identification methods still rely on manual analysis, which is inefficient andA malware gene is represented by the subgraph, which can describe the homology of malware families.Finally, we use the family genes to guide the identification of malware based on homology.classification reaches 97% with high efficiency.

Keywords： Malware classification     Gene perspective     Dependency graph     Homology analysis    

HTML PDF Collect

A survey of malware behavior description and analysis Review

Bo YU, Ying FANG, Qiang YANG, Yong TANG, Liu LIU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 583-603 doi: 10.1631/FITEE.1601745

Abstract: Behavior-based malware analysis is an important technique for automatically analyzing and detecting malwareBy considering how malware behaves, we can tackle the malware obfuscation problem, which cannot be processedwe can also derive the as-built behavior specifications and cover the entire behavior space of the malwareAlthough there have been several works focusing on malware behavior analysis, such research is far from: malware behavior description, behavior analysis methods, and visualization techniques.

Keywords： Malware behavior     Static analysis     Dynamic Analysis     Behavior data expression     Behavior analysis     Machinelearning     Semantics-based analysis     Behavior visualization     Malware evolution    

HTML PDF Collect

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysisclassification method is confirmed by Japan Highway Public Corporation that this method can figure outThese equations as a new method were able to optimize the support system for and classification systemsFrom classification and its application in these case studies, it is pointed out that the methodfor the design of support systems in underground working is more reliable than the and classification

Keywords： JH classification     Q and RMR classification     new method    

HTML PDF Collect

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 229-235 doi: 10.1007/s11684-017-0581-0

Abstract: Taking gastric cancer as an example, its molecular classification is built on genome abnormalities, butSubsequently, by using their findings, oncologists will carry out targeted therapy based on molecular classification

Keywords： molecular classification     precision medicine     pembrolizumab     PD-1/PD-L1     MSI-H    

HTML PDF Collect

Discovering optimal features using static analysis and a genetic search based method for Android malware None

Ahmad FIRDAUS, Nor Badrul ANUAR, Ahmad KARIM, Mohd Faizal Ab RAZAK

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 712-736 doi: 10.1631/FITEE.1601491

Abstract: With this in mind, security practitioners have conducted static and dynamic analyses to identify malwareHowever, static analysis requires a minimum number of features to efficiently classify malware.

Keywords： Genetic algorithm     Static analysis     Android     Malware     Machine learning    

HTML PDF Collect

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classificationKPCA is good at detection of machine abnormality while GDA performs well in multi-faults classificationWhen the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

HTML PDF Collect

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 81-85 doi: 10.1007/s11465-008-0011-8

Abstract: Although the traditional information classification coding system in manufacturing enterprises (MEs)integration (EAI) in manufacturing enterprises, an enterprise application integration oriented information classificationEAIO-ICCS expands the connotation of the information classification code system and assures the identity

Keywords： EAI     EAIO-ICCS     management     classification     connotation    

HTML PDF Collect

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classificationHere, the SVM has been used as a classification.

Keywords： machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration     fault classification    

HTML PDF Collect

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 150-156 doi: 10.1007/s11684-013-0267-1

Abstract: However, heterogeneity in patient outcomes may still be observed, which highlights the insufficiency of a classification

Keywords： malignant glioma     molecular biomarker     IDH1     MGMT     molecular classification    

HTML PDF Collect

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Finally, feature extraction filters are optimized together with the weight of the classification componentthrough training, to minimize the classification error.

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

HTML PDF Collect

Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 199-209 doi: 10.1007/s11465-012-0315-6

Abstract: seeking optimal structures with best mechanical performances is analyzed and processed in two steps: classification

Keywords： parallel kinematic machines (PKMs)     modular design     classification     topology optimization and improved Guide-Weight    

HTML PDF Collect

Arthrogryposis multiplex congenita: classification, diagnosis, perioperative care, and anesthesia

Lulu Ma,Xuerong Yu

Frontiers of Medicine 2017, Volume 11, Issue 1,   Pages 48-52 doi: 10.1007/s11684-017-0500-4

Abstract: Thus, accurate diagnosis and classification are crucial to the appropriate treatment of AMC.treatment and perioperative management of patients undergoing surgery, as well as the diagnosis and classification

Keywords： arthrogryposis     amyoplasia     distal arthrogryposis     anesthesia    

HTML PDF Collect

Molecular classification and molecular targeted therapy of cancer

Miao Xu, Jianyong Shao, Yixin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 147-149 doi: 10.1007/s11684-013-0274-2

HTML PDF Collect

Fine-grained P2P traffic classification by simply counting flows

Jie HE,Yue-xiang YANG,Yong QIAO,Wen-ping DENG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 391-403 doi: 10.1631/FITEE.1400267

Abstract: Therefore, P2P applications monitoring, in particular, P2P traffic classification, is becoming increasinglyIn this paper, we propose a novel approach for accurate P2P traffic classification at a fine-grainedFirstly, it can achieve a high classification accuracy by exploiting only several generic propertiesSecondly, it can work well even if the classification target is running with other high bandwidth-consuming

Keywords： Traffic classification     Peer-to-peer (P2P)     Fine-grained     Host-based    

HTML PDF Collect

Title Author Date Type Operation

Automatic malware classification and new malwaredetection using machine learning

Liu LIU, Bao-sheng WANG, Bo YU, Qiu-xi ZHONG

Journal Article

Malware homology identification based on a gene perspective

Bing-lin ZHAO, Zheng SHAN, Fu-dong LIU, Bo ZHAO, Yi-hang CHEN, Wen-jie SUN

Journal Article

A survey of malware behavior description and analysis

Bo YU, Ying FANG, Qiang YANG, Yong TANG, Liu LIU

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Journal Article

Discovering optimal features using static analysis and a genetic search based method for Android malware

Ahmad FIRDAUS, Nor Badrul ANUAR, Ahmad KARIM, Mohd Faizal Ab RAZAK

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Journal Article

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Journal Article

Arthrogryposis multiplex congenita: classification, diagnosis, perioperative care, and anesthesia

Lulu Ma,Xuerong Yu

Journal Article

Molecular classification and molecular targeted therapy of cancer

Miao Xu, Jianyong Shao, Yixin Zeng

Journal Article

Fine-grained P2P traffic classification by simply counting flows

Jie HE,Yue-xiang YANG,Yong QIAO,Wen-ping DENG

Journal Article