A programmable web platform for distributed access, analysis, and visualization of data

All the basic concepts from Computer Networks useful for understanding the mechanisms used by cybercriminals are essential. On must study broad categories of Networks, OSI Networking Model, TCP/IP Networking Model and the functions of all their layers. Study of Network Topologies, Network Hardware Hubs, Repeaters, Bridges, Switches, Routers, Network Software, Client Server Computing, Server and Client Software is of equal importance. Several Network Protocols (TCP / IP), Internet, Internet Evolution and the Internet Architecture and Wireless Networks all these topics are the foundation for the study of Security and Security Incidents. Under topics Security and Security it comes, Security of Computers, Incidents on Computer and Computer Networks like Intrusion and Attacks. This gives an idea about crimes in cyberspace and some substantial methods of commission of crime. Keywords: Computer Network; Threat; Vulnerability; Security; Security Incidents; Cybercrime; Preventive measures; Cybercriminal

An interactive user-experience with virtual environments of high visual-quality usually demands either authoring tools of movie-industry level and a server farm, or a native application on the client, or both. Conversely, we introduce here a novel 3D workflow, targeting specifically the largest needs of high-quality VR experience. Our workflow architecture incorporates both authoring and navigation of quasi-photorealistic scenes directly on the Web platform, thus including mobile and VR devices, and is specifically addressed to the common use by the street man. No software installation is needed. Both simplified authoring and exploration tools are Three.js based, and are mutually connected by a Web service that automatically produces high quality textures, which include lighting effects, multiple soft shadows, reflections and refractions, by exploiting the Blender's physically-based Cycles render engine.

The mapping of DNA-protein interactions is crucial for a full understanding of transcriptional regulation. Chromatin-immunoprecipitation followed by massively parallel sequencing (ChIP-seq) has become the standard technique for analyzing these interactions on a genome-wide scale. We have developed a software system called CASSys (ChIP-seq data Analysis Software System) spanning all steps of ChIP-seq data analysis. It supersedes the laborious application of several single command line tools. CASSys provides functionality ranging from quality assessment and -control of short reads, over the mapping of reads against a reference genome (readmapping) and the detection of enriched regions (peakdetection) to various follow-up analyses. The latter are accessible via a state-of-the-art web interface and can be performed interactively by the user. The follow-up analyses allow for flexible user defined association of putative interaction sites with genes, visualization of their genomic context with an integrated genome browser, the detection of putative binding motifs, the identification of over-represented Gene Ontology-terms, pathway analysis and the visualization of interaction networks. The system is client-server based, accessible via a web browser and does not require any software installation on the client side. To demonstrate CASSys's functionality we used the system for the complete data analysis of a publicly available Chip-seq study that investigated the role of the transcription factor estrogen receptor-α in breast cancer cells.

Time seems to be right for Indian libraries and information centres to join networks in greater numbers to overcome the issues such as budget constraints, information explosion, increase in cost of publications, and to utilize information available in machine-readable form worldwide. Telematics, the newly developed information technology - a combination of computers with telecmmunications - has been considered to be very promising technology for computer networking. Applications of Telematics in computer networking and its components have been discussed. Benefits of computer networking in terms of resource sharing, speed of information retrieval, retrenching the limit of the distance, etc. have been highlighted. Further experiences of Central Road Research Institute (CRRI), New Delhi, a premier R&D organisation engaged in a wide variety of research programmes on highway engineering and related subjects, using its own Local Area Network and other two networks, viz., DELNET and SIRNET have been discussed in terms of hardware, communication softwares, LAN components and utilities (e.g. peer to peer communication and E-mail). The use of LAN with client server architecture, its potential benefits in library automation such as inter-library loan, quick reference, catalogue search facility through E-mail, file transfer and correspondence with member libraries, and problems, namely, non-availability of databases at member libraries, standardization of information, security, limited staff and cost of hardware and software have been discussed in particular for library and information applications.

In recent years, computer network communication technology has made considerable progress and development, and its scale has now covered all aspects of society and people’s lives. However, while computer network technology promotes social development and improves the convenience of people’s lives, there are still many security problems, especially the difficulty of ensuring the security of user data, which has become a prominent problem in the further development and improvement of communication technology. This article takes the network communication security technology as an entry point, and analyzes its technical types with the aid of data encryption technology, and then analyzes and studies its security in computer network communication data transmission according to the specific points proposed. Through the substantial technical analysis of the computer network security system, the possibility of the system being attacked can be reduced to a certain extent, and the security of network data can be improved. Through the analysis of the integrity of the network system, the overall framework of a distributed network security early warning system based on the network is established, and various structures of the system are analyzed. The network load analysis module is responsible for using key performance index data, such as user traffic, number of users and wireless utilization, and analyzes and classifies the network cell load by combining the partial least square method and BP neural network, so that the key cell performance analysis module is mainly Analyze key performance index data of key communities, obtain early warning thresholds through clustering algorithms, and implement a dynamic early warning system to provide guidance for network planning and mining in key small areas. The database module is responsible for storing all performance data and performance analysis results; the performance query module is responsible for querying and analyzing performance data and static warnings, and presents them to users in the form of text and graphics. Experimental research results show that in this information age, the development of computer networks plays a very important role in the development of our country. Computer network operators make full use of cluster analysis, data mining, encryption algorithms, and early warning systems to conduct research to fully improve the security performance of data in network communications.

Data analysis tools have become essential to the study of biology. Here, we applied language workbench technology (LWT) to create data analysis languages tailored for biologists with a diverse range of experience: from beginners with no programming experience to expert bioinformaticians and statisticians. A key novelty of our approach is its ability to blend user interface with scripting in a single platform. This feature helps beginners and experts alike analyze data more productively. This new approach has several advantages over state of the art approaches currently popular for data analysis: experts can design simplified data analysis languages that require no programming experience, and behave like graphical user interfaces, yet have the advantages of scripting. We report on such a simple language, called MetaR [1], which we have used to teach complete beginners how to call differentially expressed genes and build heatmaps. We found that beginners can complete this task in less than 2 hours with MetaR, when more traditional teaching with R and its packages would require several training sessions (6-24hrs). Furthermore, MetaR seamlessly integrates with docker to enable reproducibility of analyses and simplified R package installations during training sessions. We used the same approach to develop the first composable R language. A composable language is a language that can be extended with micro-languages. We illustrate this capability with a Biomart micro-language designed to compose with R and help R programmers query Biomart interactively to assemble specific queries to retrieve data, (The same micro-language also composes with MetaR to help beginners query Biomart.) Our teaching experience suggests that language design with LWT can be a compelling approach for developing intelligent data analysis tools and can accelerate training for common data analysis task. LWT offers an interactive environment with the potential to promote exchanges between beginner and expert data analysts. This poster presents the MetaR platform [1]. The talk presented at BOSC 2016 is available at https://prezi.com/x6nhbkext0ga/metar-bosc-2016/ Software is distributed under the Apache 2.0 license and available at https://github.com/CampagneLaboratory/MetaR http://metaR.campagnelab.org .

Data Visualization addresses the use of graphics with the purpose to obtain or transmit the knowledge in a easier and faster way, this is it main, and in many cases unique purpose. Since their invention Data graphics has evolved and many techniques has been developed, and in the last decades, with the definition and evolution of the Data Science, Data Visualization has become to be used profusely, in that manner that, by one side, the Data Science Body of Knowledge, DS-BoK, define five knowledge area groups that should be taught when learning Data Science, in all of them Data Visualization is taken a main role for different reasons applying each knowledge area; and by other side all the Data Science development environments, open source or proprietary, include tools for performing Data Visualizations. This paper presents the results of a research carried out with the main objective of improving the teaching of data visualization using two ways: propose a new system to classify the large amount of different graphical techniques for presenting data that can be found in the literature; and analyze using different attributes quite all the most important different tools, open source and private, that are available to develop data graphics mainly form a data visualization teaching point of view.

With the evolution in the computer networks, many companies are trying to come up with efficient products which can make life easier for network administrators. Silent automated installation is one category among such products. In this paper, we have proposed Cognitive Agent for Automated Software Installation (CAASI) which provides silent, automated and intelligent installation of software(s) over the network. CAASI will intelligently install any kind of software on request of the network administrator. CAASI uses an efficient algorithm to transfer the software installation setup on the network nodes. The system is fully autonomous and does not require any kind of user interaction or intervention and performs the task(s) over the network with the help of mobile agents.KeywordsAutomated Software InstallerNetwork InstallationSilent InstallationCognitive AgentsMulti-Agent System

The purpose of this study was to identify fault-prone functions that are likely to contain faults in a given software system. Five metrics were used: Di, an internal design metric which incorporates factors related to a function's internal structure; De, an external design metric which focuses on a function's external relationships to the rest of the software system; D(G), a composite design metric which is a linear combination of Di and De; and the union and intersection of Di, De, and D(G). Since the system being considered was already developed, a very important aspect of our study was to extract the design information directly from the source code rather than from the corresponding design documentation which may not exist or, if it does exist, it may be incomplete, difficult to understand, or not updated. To make the analysis more accurate and efficient, a metric analysis tool (χMetrics) was implemented. We conducted experiments using χMetrics on part of a distributed software system, written in C, with a client–server architecture, and identified a small percentage of its functions as good candidates for fault-proneness. Files containing these functions were then validated by the real defect data collected between a recent major release and its subsequent release for their fault-proneness. The results indicate that our metrics are good indicators of fault-prone functions. Two extra experiments were also conducted to show that function size cannot replace any of our metrics; and where the function size was factored out our metrics performed better than the normalized metrics. The important benefit of our metrics is that they help project managers determine where additional testing effort should be spent and possibly which fault-prone functions should be assigned to more experienced programmers if modifications are required. Copyright © 2000 John Wiley & Sons, Ltd.

Data visualization has become an increasingly important means of effective data communication and has played a vital role in broadcasting the progression of COVID-19. Accessible data representations, however, have lagged behind, leaving areas of information out of reach for many blind and visually impaired (BVI) users. In this work, we sought to understand (1) the accessibility of current implementations of visualizations on the web; (2) BVI users’ preferences and current experiences when accessing data-driven media; (3) how accessible data representations on the web address these users’ access needs and help them navigate, interpret, and gain insights from the data; and (4) the practical challenges that limit BVI users’ access and use of data representations. To answer these questions, we conducted a mixed-methods study consisting of an accessibility audit of 87 data visualizations on the web to identify accessibility issues, an online survey of 127 screen reader users to understand lived experiences and preferences, and a remote contextual inquiry with 12 of the survey respondents to observe how they navigate, interpret, and gain insights from accessible data representations. Our observations during this critical period of time provide an understanding of the widespread accessibility issues encountered across online data visualizations, the impact that data accessibility inequities have on the BVI community, the ways screen reader users sought access to data-driven information and made use of online visualizations to form insights, and the pressing need to make larger strides towards improving data literacy, building confidence, and enriching methods of access. Based on our findings, we provide recommendations for researchers and practitioners to broaden data accessibility on the web.

ABSTRACT: 4D subsurface visualization using a web platform can provide improved communication, education and outreach to non-experts and stakeholders. It allows for the improved understanding of complex relationships and interactions that occur in inaccessible locations where many experimental testbeds exist. The use of a web-based visualization tool lessens the cognitive impact further by reducing the need of specialized software. Users can define their own exploration of a 3D or 4D scene, adding and removing data as needed, and they are able to make informed decisions based on accurate model visualizations, while providing a collaborative tool that can be accessed on any platform using a browser window. Here we show the tool with example geophysical data collected from the EGS Collab project that includes borehole logs and preliminary conductivity model results. The tool is also able to point to real time streams to display up-to-the-second data as an experiment is ongoing. This level of latency can also provide operators with essential information that can direct an experiment’s progress. Additionally, this tool can leverage augmented and virtual reality (AR, VR) capabilities of certain mobile devices and head-mounted displays, providing further engaging visualization possibilities. 1. INTRODUCTION & BACKGROUND Three and 4D visualization is an appropriate and intuitive way to represent subsurface geophysical data. The regions of study are always inaccessible so visualization will always be required to represent collected subsurface information. However, data visualization within the geosciences is often limited to 2D slices, static views of 3D representations flattened onto a 2D plane for publication, or a predefined camera path around a 3D structure of interest. These visuals are limiting and are often misunderstood, requiring the observer to reconstruct the 3D structures often with a lack of depth cues such as occlusion or perspective distortion. Geophysical interpretation often requires the overlap of disparate datasets to glean the full understanding of the processes that are playing out. Visualization tools must be able to synthesize a variety of data types and formats and display them in an intuitive way to be effective. A 4D representation is the most true-to-life and therefore requires the least spatial reasoning when presented well. Furthermore, the spatial relationships between complex 3D shapes are much more intuitively understood when visualized in 3D. There is less onus on the viewer to reconstruct the 3D scene from dimension reduced cross-sections that are often used due to the current prevalence of 2D platforms such as screens and documents.

The system architecture adopts the B/S (Browser/Server) structure. The client side does not require installation of any specialized software; a web browser is sufficient to access and use the monitoring system, enabling energy consumption monitoring anytime and anywhere. It offers good scalability, as future functional expansions and upgrades to the software only need to be implemented on the server side. Anyone can browse and use this system, making energy-saving promotion more extensive and effective.

Research in Information-Centric Networking (ICN) and Named Data Networking (NDN) has produced many protocol designs and software prototypes, but they need to be validated and evaluated by real usage on the Internet, which is also critical to the realization of the ICN/NDN vision in the long run. This article presents the first Internet-scale adaptive video streaming service over NDN, which allows regular users to watch videos using NDN technology with no software installation or manual configuration. Since mid-2019, the official NDN website [1] has started using our service to deliver its videos to Internet users over the global NDN testbed, showcasing the feasibility of NDN. We conduct real-world experiments on the NDN testbed to validate the proper implementation of the client, network, and server sides of the proposed system and also evaluate the performance of our video streaming service.

Developing secure web applications is a difficult task because the original purpose of the World Wide Web (WWW) was to freely share information. This paper presents a prototype for a platform-independent secure geospatial visualization and collaboration web application. This system is developed using object-oriented system design methodology. It integrates software engineering, web security, visualization and Java technologies with the WWW to enable production, dissemination, and use of imagery and geospatial information on a hierarchical level through the WWW. Several visualization modules on the client side are developed using the Model-View-Controller design pattern technology. These modules are plug-in and reusable components for other similar applications. A Visualization Web Bridge and Data Providers on the server side are designed and implemented to bridge the gap between the Internet users and the remote geospatial databases. Several Internet security mechanisms are implemented to secure system configuration, to authenticate and authorize data access, and to secure information sharing. The system is an open and extensible source. The application results demonstrate that this system provides a certain level of security, and that users have flexibility to query, visualize, manipulate, and analyze real-time remote geospatial data. It exhibits that multiple users in geographically dispersed organizations can conveniently collaborate and share information as well as 3D images through this system. It also demonstrates that using object-oriented system design and design pattern provides a great chance for software reuse and increases the system flexibility.

Developing secure web applications is a difficult task because the original purpose of the World Wide Web (WWW) was to freely share information. This paper presents a prototype for a platform-independent secure geospatial visualization and collaboration web application. This system is developed using object-oriented system design methodology. It integrates software engineering, web security, visualization and Java technologies with the WWW to enable production, dissemination, and use of imagery and geospatial information on a hierarchical level through the WWW. Several visualization modules on the client side are developed using the Model-View-Controller design pattern technology. These modules are plug-in and reusable components for other similar applications. A Visualization Web Bridge and Data Providers on the server side are designed and implemented to bridge the gap between the Internet users and the remote geospatial databases. Several Internet security mechanisms are implemented to secure system configuration, to authenticate and authorize data access, and to secure information sharing. The system is an open and extensible source. The application results demonstrate that this system provides a certain level of security, and that users have flexibility to query, visualize, manipulate, and analyze real-time remote geospatial data. It exhibits that multiple users in geographically dispersed organizations can conveniently collaborate and share information as well as 3D images through this system. It also demonstrates that using object-oriented system design and design pattern provides a great chance for software reuse and increases the system flexibility.