Anomaly based Intrusion Detection using Neural Networks in 5G Network

Ensuring the organizations of tomorrow is set to be a difficult space due to expanding digital protection dangers and enlarging assault surfaces made by the Internet of Things (IoT), expanded organization heterogeneity, expanded utilization of virtualisation innovations and circulated structures. This paper proposes SDS (Software Defined Security) which is a method gives mechanized, adaptable and versatile framework. SDS will tackle momentum progresses in AI to plan a CNN (Convolutional Neural Network) utilizing NAS (Neural Architecture Search) to distinguish irregular organization traffic. SDS can be applied to an interruption location framework to make a more proactive and start to finish protection for a 5G organization. To test this presumption, ordinary and irregular organization streams from a mimicked climate have been gathered and examined with a CNN. The outcomes from this strategy are promising as the model has recognized harmless traffic with a 100% exactness rate and irregular traffic with a 96.4% identification rate. This exhibits the viability of organization stream investigation for an assortment of normal pernicious assaults and furthermore gives a suitable alternative to discovery of encoded vindictive organization traffic. Keywords: 5G Security, IoT Security, Automated Intrusion Detection Systems, Convolutional Neural Networks, Artificial Intelligence, Software Defined Security

What are the perspectives of a Ngāti Rākau community towards a potential digital repository for urupā records?

<p>Research problem: Little is known about management of urupā records. The objective of this research was to explore the need for a digital repository. This research project explored how Ngāti Rākau urupā records are currently managed in terms of discoverability, accessibility and sustainability, how records should be managed and potential barriers to a digital repository. Methodology: This research project used an indigenous Kaitiakitanga framework to understand a Māori world view. A Kaupapa Māori paradigm and a co-design approach were also used for the design to appropriately conduct research with Māori participants. A qualitative methodology was used to gain attitudes and opinions from Ngāti Rākau participants. Results: No written records exist through Mōtuiti Marae. Urupā records are currently managed through oral and kanohi ki te kanohi assimilation. Participants support documentation of Ngāti Rākau urupā records. Clarifications around digital protection of urupā records will need to be communicated before a digital repository is created. Potential barriers include generational views, modern Māori perspectives versus traditional perspectives, the desire to uphold cultural traditions and a fear of shared records. Implications: The study was restricted to one hapū and only five participants. Further research could explore how information should be presented and how other hapū and iwi feel about the digitisation of urupā records for more generalised findings.</p>

What are the perspectives of a Ngāti Rākau community towards a potential digital repository for urupā records?

<p>Research problem: Little is known about management of urupā records. The objective of this research was to explore the need for a digital repository. This research project explored how Ngāti Rākau urupā records are currently managed in terms of discoverability, accessibility and sustainability, how records should be managed and potential barriers to a digital repository. Methodology: This research project used an indigenous Kaitiakitanga framework to understand a Māori world view. A Kaupapa Māori paradigm and a co-design approach were also used for the design to appropriately conduct research with Māori participants. A qualitative methodology was used to gain attitudes and opinions from Ngāti Rākau participants. Results: No written records exist through Mōtuiti Marae. Urupā records are currently managed through oral and kanohi ki te kanohi assimilation. Participants support documentation of Ngāti Rākau urupā records. Clarifications around digital protection of urupā records will need to be communicated before a digital repository is created. Potential barriers include generational views, modern Māori perspectives versus traditional perspectives, the desire to uphold cultural traditions and a fear of shared records. Implications: The study was restricted to one hapū and only five participants. Further research could explore how information should be presented and how other hapū and iwi feel about the digitisation of urupā records for more generalised findings.</p>

Thermal protection implementation of the contact overheadline based on bay controllers of electric transport traction substations in the mining industry

The article presents the principle of thermal protection of the contact overheadlineand substantiates the possibility of practical implementation of this principle for rail electric transport in the mining industry. The algorithm for the implementation of modern digital protection of the contact overhead line as one of the functions of the controller is described. A mathematical model of thermal protection is proposed, which follows from the solution of the heat balance equation. The model takes into account the coefficient of the electrical networktopology, as well as the coefficient of consumption of the current-carrying core of the cable, which determines the reduction in the conducting section from contact erosion and the growth of oxide films. Corrections for air flows are introduced when receiving data from an external anemometer, via telemechanics protocol. The mathematical model was tested by writing a real thermal protection program in the C programming language for the bay controller, based on the circuitry of which is the STM32F407IGT6 microcontroller for the microcontroller unit. Verification tests were carried out on a serial bay controller in 2020. The graphs for comparing the calculated and actual values of temperatures, with different flow rates of the current-carrying conductor of the DC cable, are given. To obtain data, telemechanics protocols IEC 60870-104 and Modbus TCP, PLC Segnetics SMH4 were used.

Research on Digital Modeling and Life Cycle Information Management of Architectural Heritage Protection Based on BIM

Building information modelling (BIM) has been adopted in the architectural heritage industry. The digital protection method with BIM Technology as the core can introduce the information management workflow into the protection of architectural heritage, which can provide possibility for the complete preservation of all kinds of information related to the architectural heritage, improve the efficiency of protection, and meet the management needs of the whole life cycle of the architectural heritage. This paper is based on digital technology and combined with the characteristics of architectural heritage to create a BIM model of architectural heritage. The Autodesk Revit software, which is commonly used in China, is used as the entry point, and the C# language is used to develop Revit to make up for the shortcomings of traditional architectural heritage protection. At the same time, all kinds of information related to the architectural heritage are completely preserved, improving the efficiency of protection work, and meeting the information management needs in the process of building heritage maintenance and management.

VIRTUAL RESTORATION OF MISSING PAINT LOSS OF MURAL BASED ON GENERATIVE ADVERSARIAL NETWORK

Mural painting is one of the important cultural heritage reflecting the historical migration of the nation. In order to inherit these precious historical and cultural heritage, how to non - destructively and digitally protect and restore the existing murals has become an urgent task. The use of computer - assisted restoration of murals can not only save manpower and material resources, but also avoid secondary damage to the murals.However, most of the existing computer-assisted mural restoration algorithms use similar blocks with priority calculations and matching blocks in adjacent areas to guide mural restoration. There are some problems such as incoherent overall semantic structure, unnatural detail texture and inability to effectively repair large area missing remain to be solved. Aiming at the problems existing in the restoration of large area diseases such as paint loss and color fading in murals, we constructed a fine image restoration network model which based on generative adversarial network. A multi-scale dense matching repair network based on a generative adversarial network is constructed. First, the dense combination of dilated convolutions is used to improve the repair effect of detailed textures, Then, mean absolute Error, (Visual Geometry Group, VGG) feature matching, auto-guided regression, and geometric alignment are used as the loss function to guide the training of the generative network. Second, the discriminator with local and global branches is used to train the discriminant network, so that the repaired image is in the local and global content. Experiments were performed on the three mural data sets one by one. The results show that the network model can effectively restore the lines and faces in the murals. The images restored are not only coherent in semantic details, but also natural in color, which is conducive to the appreciation and display of murals. Thus, as one of the important directions of cultural heritage digital protection，the use of generative adversarial network in the digital restoration of ancient murals have been proved to be effective. It not only provides a reference for the true restoration of the murals but also means a lot to the preservation of murals.