A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

Raman, Mrigank; Somu, Nivethitha; Kirthivasan, Kannan; Sriram, V. S. Shankar

doi:10.1016/j.neunet.2017.01.012

Cited by 85 publications

(32 citation statements)

References 19 publications

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“…A report on the latest research related to this field was made by Lee, Bressler, and Kozma (2017). These studies cover the fields of human cognitive behaviour, the brain-computer interface, and personal space protection, which concentrate on the issues of saliency detection (Zhang, Yang, and Zhang 2017), intrusion detection (Raman et al 2017), speech emotion recognition (Fayek, Lech, and Cavedon 2017), human pose estimation (Witoonchart and Chongstitvatana 2017), use of electroencephalograms (EEGs) for brain-computer interface classification (Alimardani, Boostani, and Blankertz 2017), wearable sensors , predictive models in robotics (Ahmadi and Tani 2017), use of EEGs for advertising preference prediction (Gauba et al 2017), and human intention understanding (Kim, Yu, and Lee 2017).…”

Section: Literature Of Cognitive Engineering In Hf/eiimentioning

confidence: 99%

A review of methodologies for integrating human factors and ergonomics in engineering design

Sun

Houssin

Renaud

et al. 2018

International Journal of Production Research

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The requirements of Human Factors and Ergonomics (HF/E) in engineering design must be satisfied, including usability, safety, reliability, and operability in the workplace and work environment. This study presents a review of the methodologies for integrating HF/E information in engineering design. The primary purpose of this review is to identify and summarise the current research in this field, thereby giving the recommendations of future research. The focus is on the interaction design between the system (product) and its user (human), including the design of a complex machine, equipment, system, and simple product. Publications in this field between 1982 and 2017 were reviewed from two aspects: (1) the stage of HF/E information integration in engineering design, including conceptual design, embodiment, and detailed design, and (2) the category of the HF/E, including physical ergonomics, cognitive ergonomics, and organisational ergonomics. The benefits and limitations of the reviewed design methodologies were stated in their respective sections. A critical analysis of the research topics from these two aspects was performed with comparison summarising the applicability of these methodologies for researchers and designers. The suggestions for future research were also offered according to the main findings.

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Section: Literature Of Cognitive Engineering In Hf/eiimentioning

confidence: 99%

A review of methodologies for integrating human factors and ergonomics in engineering design

Sun

Houssin

Renaud

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…In the formula: X represents the data packet quantization parameter; B is the value coefficient of the packet attribute; M1 and Sd are the average coefficients and the average error coefficient corresponding to B [7][8] .…”

Section: The Technical Advantages Of the New Detection Systemmentioning

confidence: 99%

Research on network intrusion detection technology in dynamic and complex background

Zheng¹,

Liu²

2017

Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

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Abstract.With the advent of the Internet era, the network has been widely used in production and life, and network security has become a hot topic. Nowadays, the traditional prevention technology is difficult to prevent the various increasing network attacks. There is an urgent need for a complex network intrusion detection technology to ensure the normal use of the network. According to the above problems, this paper studies the problem of network intrusion detection technology in dynamic and complex background. This paper introduces the network intrusion detection technology under dynamic background, and expounds the basic idea of detection, detection system model and packet capture device of detection system, and then analyzes the technical advantages of the detection system. the experiment proves that the network intrusion detection system can detect intrusion quickly and accurately to prevent intrusion.

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“…It is an organic collection of the services' and tasks' active objects (such as the order type, processing steps, delivery time, and product material) based on time, information, and physical flow. The architecture of C3DP tasks and services is the basis for information monitoring and processing in the process of executing order-driven C3DP tasks (Raman, et al 2017). This order task and service model can formally represent the information of such tasks and effectively integrate and manage the data of services and MFG tasks.…”

Section: Introductionmentioning

confidence: 99%

Architecture of Cloud 3D Printing Task Modeling for Nodes Dynamic Scheduling and Coupling Based on Complex Networks

Zhang

Liu

et al. 2020

IEEE Access

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To study the variation in resource allocation efficiency in a cloud 3D printing (C3DP) manufacturing grid, C3DP task modeling for a complex network model was established based on the dynamic coupling of nodes, taking cloud manufacturing resource characteristics such as distribution and diversity into account. Based on this idea, we propose an architecture of C3DP task modeling for complex networks based on the dynamic coupling of nodes. First, the model calculates the initial tasks and services by evaluating the quality of the manufacturing resources, and then, according to the strength of the correlations among various tasks and among services and tasks, a multiplex network model based on cloud tasks and services is constructed. Then, according to the description and its constraint structure definition of the C3DP order tasks, by using the intercept method for complex networks, this paper identifies the work breakdown structure of coupling task sets, simplifies the optimization process, and proposes a C3DP order task (C3DPOT) network modeling method. Third, on the basis of the formal description of C3DP service resources, an architecture of C3DP order task methods for complex networks based on the dynamic coupling of nodes is proposed. Finally, a Service_Net model example is designed to verify the feasibility of the method.

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A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

Cited by 85 publications

References 19 publications

A review of methodologies for integrating human factors and ergonomics in engineering design

A review of methodologies for integrating human factors and ergonomics in engineering design

Research on network intrusion detection technology in dynamic and complex background

Architecture of Cloud 3D Printing Task Modeling for Nodes Dynamic Scheduling and Coupling Based on Complex Networks

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