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Penetration testing (PenTest) is the cycle to distinguish security weak points in an application by assessing the system or network with different malignant strategies. The weak areas of a system are exploited in this cycle through an approved simulated attack. The objective of this test is to get significant information from hackers who have unapproved access to the system or network. When the weak spot is distinguished it is used to misuse the system to access critical data. A penetration test is otherwise called the pen test and an outside contractor is likewise known as an Ethical hacker. The pen testing cycle can be divided into five phases: 1. Planning and Reconnaissance The first stage includes: Characterizing the scope and objectives of a test, involving the systems to be dealt with and the testing strategies to be used. 2. Scanning The subsequent stage is to see how the target application will react to different interruption endeavors. This is normally done using, Static analysis: Estimating an application's code to assess how it acts while running. These devices can check the whole of the code in a single pass Dynamic analysis: Inspecting an application's code in a running state. This is a more functional method of examining, as it gives an actual view into an application's execution 3. Getting Access This stage uses web application attacks, for example, cross-site scripting, SQL injection and backdoors, to reveal a network's weaknesses. Testers at that point attempt and misuse these weaknesses, commonly by escalating privileges, stealing information, intercepting traffic, and so on, to comprehend the harm they can cause. 4. Maintaining and securing access The objective of this stage is to check whether the weakness can be used to get a constant presence in the exploited system. The intention is to copy advanced persistent threats, which usually stay in a system for a long time to take an organisation's most critical information. 5

Network Data Integration, Analysis, and Visualization in a Box Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of plugins are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.

"This paper describes the implementation of a quantitative cost effectiveness analyzer for Web-supported academic instruction that was developed in Tel Aviv University during a long term study. The paper presents the cost effectiveness analysis of Tel Aviv University campus. Cost and benefit of 3,453 courses were analyzed, exemplifying campus-wide analysis. These courses represent large-scale Web-supported academic instruction processes throughout the campus. The findings were described, referring to students, instructors and university from both the economical and educational perspectives. The cost effectiveness values resulting from the calculations were summarized in four "coins" (efficiency coins=$; quality coins; affective coins; and knowledge management coins) for each of the three actors (students, instructors and university). In order to examine the distribution of those values throughout the campus assessment scales were created on the basis of descriptive statistics. The described analyzer can be implemented in other institutions very easily and almost automatically. This enables us to quantify the costs and benefits of Web-supported instruction on both the single-course and the campus-wide levels. "

Statistics is a branch of mathematics. The subject focuses on collection, management, examination, interpretation and demonstration of the data. Statistical analysis consists of two types, descriptive and inferential statistics. The two concepts play a vital role during any statistical analysis.

The assignment provides an in-depth review of the company through a detailed Airbnb SWOT analysis.

Book Reviews Book title: Digitisation Perspectives Type: book Author: Ruth Rikowski Year: 2010 Edition: 1st ISBN: 9460912982 Publisher: Sense Publishers Publisher's Description: This book examines various views and perspectives on digitisation. As Simon Tanner, Director Digital Consultancy, King's College London says in the Foreword: "Digitisation has become a cultural, scholastic, economic and political imperative and raises many issues for our consideration." Furthermore, that the book: "...seeks to address and answer some of the big questions of digitisation... It succeeds on many levels..." There are 22 contributors in the book, all experts in their fields. The book is divided into six parts: Part 1: 'Background and Overview to Digitisation and Digital Libraries' Part 2: 'Digitisation and Higher Education' Part 3: 'Digitisation and Inequalities' Part 4: 'Digital Libraries, Reference Services and Citation Indexing' Part 5: 'Digitisation of Rare, Valued and Scholarly Works' Part 6: 'Futuristic Developments of Digitisation' Topics covered include electronic theses, search engine technology, digitisation in Africa, citation indexing, reference services, the Scholarly Publishing and Academic Resources Coalition, new media and scholarly publishing. The final chapter explores virtual libraries, and poses some interesting questions for possible futures. The book will be of particular interest to information professionals, educators, librarians, academics and I.T. and knowledge experts. Ruth Rikowski concludes by indicating that: "...hopefully, the book will provide a source of inspiration for further research, leading to some more effective ways to proceed with the digitisation process. Also, that it will be possible to do this within a framework that can be used for good rather than ill, and for the benefit of many." Reviewer: Eric Jukes (Formerly of College of Haringey, Enfield and North East London) Book Rating: 5/5 Buy this book from Amazon  Review Summary

Home > Data Science > How to learn Data Science in 2021? Data Science (DS) is a great, promising, and most demanding career. But are you confused about being a beginner and wanna know the Right Way to Learn DS? Technology is more into digitisation and due to this extensive transformation, huge data is expected to be produced in the coming future. To make use of such big data we need data scientists who can layout, design and filter the data in an organized way. All things considered, with a huge number of options available choosing the correct curriculum program and admission to the right institute is important. Besides all this, the course and institute to be suitable for your requirement are extremely difficult. While online courses are an incredible path for some to upskill, good opportunities from top colleges and universities are the platform for data scientists to test their knowledge in their field. Here are the five essential guidelines to turn into an expert in Data Science: Get a Data Science certificate or similar degree To get an opportunity as an entry-level data researcher, one would require a four-year certification in DS, math, insights and software engineering. Degrees can likewise give temporary job openings. All things considered if you have just secured a 4 yr certification in a different background through online e-courses or basic boot camps and workshops. The focus should be given to mastering the skills required for DS. Take a look at this course from AntWak on Data Engineering delivered by top global experts. Take comprehensive courses and devote time to learning You can become a top-class data researcher by taking a full course at a time. It will be the skill and instruments needed to turn into a data researcher, many critical projects and coaching help. A variety of such courses are available online that offer top to bottom analysis of subjects, for example, data scratching, AI, big data analysis and many more. To begin your learning

This great maths site has an amazing collection of maths self-marking problem solving questions. Search by age level or topic. This covers both Primary and Secondary levels. Topics include numbers, geometry, algebra, data analysis, probability and more. http://ictmagic.wikispaces.com/Maths

This site is an online grade book and course designer with advance analysis tools to keep your students moving forwards. http://ictmagic.wikispaces.com/Planning+%26+Assessment

The relationship between two accounting figures expressed mathematically is known as Financial Ratio or Accounting Ratio.

The operations management assignment examines the symbolic operational excellence of Walmart and discusses the role of ICT applications and artificial intelligence to extensively improve operation management within Kuwait.

There is something about human nature that draws us towards dichotomous patterns of thought; an all or nothing, us or them style of thinking in which an option is either good or it is bad. In such a model complexity and subtle nuance with multiple possible outcomes and routes towards a goal are ignored. The field of educational technology is one where such a pattern is evident and recent ban on technology by a Sydney school shows how this style of analysis can have a significant impact on student learning.

This site helps students practise basic maths skills through short online exercises that are intended to be used each day. Teacher can get analysis of progress and more. Signing up a class is quick and easy. http://ictmagic.wikispaces.com/Maths

This is a useful QR code creator that allows you to add a password to your codes. You can use this to protect private information or make the passwords the answer to a question to access a new question to create a chain of questions for a QR code quiz. Encode for a web link, message, contact details or maps. All without needing to sign up! Sign in to get analysis of your codes. http://ictmagic.wikispaces.com/ICT+%26+Web+Tools

What is LingleOnline? Create Lesson Plans, Exercises and Class Materials from today's real news. Find articles you or your students like using keywords, level and grammar search. LingleOnline will take care of the analysis for you. See vocabulary and grammar automatically in context. Create and manage your own lessons, articles, resources and exercises automatically. Subscribe for Only €40 for 1yr

emystifying the Economics of Virtualization and Cloud Computing Posted by Michael Vizard Mar 15, 2011 11:51:15 AM Make the Financial Case for Virtualization and Cloud Computing With the advent of virtualization and cloud computing, figuring out the actual cost of enterprise computing has never been more important or complicated. Now that every application to one degree or another is eventually going to wind up sharing IT infrastructure with some other set of applications, ascribing costs to each application gets significantly more difficult. In the past, when every application pretty much had its own servers, the costs were clear, except for mainframe and minicomputer environments that were designed from the ground up to run a symmetric multiprocessing environment that supported multiple applications. But now that virtualization and cloud computing are pushing the concept of shared IT infrastructure across the entire spectrum of IT, application owners want to know what their true costs for running these environments actually will be. In addition, the chief financial officer - along with the rest of the board of directors - is demanding a more line-by-line accounting of the allocation of IT resources. Conceptually, most IT leaders should welcome this increased level of scrutiny. It gives them a chance to show how efficient they can be, which represents a significant change of pace after decades of meetings with senior managers that only really wanted to know what the availability of IT services was without much regard to the actual budget. The challenge facing many IT organizations today, says Chris Pick, chief marketing officer for Apptio, a provider of IT financial management tools that are available as a service, is they just don't have the tools needed to delve into all the financial elements of the overall IT equation. For example, a new survey of 100 CIOs in the U.S. that was conducted by the market research firm Worldwide Executive Council on behal

Martin Ingram Virtually Everything More posts | Read bio December 28, 2010 - 3:09 P.M. The economics of desktop virtualization 4 Comments TAGS:desktop virtualization, enterprise, finance, government, healthcare, hosted desktop virtualization, PC IT TOPICS:Cloud Computing, Cybercrime & Hacking, Desktop Apps, Emerging Technology, Healthcare IT, Laptops & Netbooks, Virtualization, Windows With Thanksgiving and Christmas behind us and the New Year upon us, it is time to take stock and see what changed for desktop virtualization in 2010.  One thing is very clear: We have moved from desktop virtualization being 'about to take off' to 'has taken off' -- the evidence for this is pretty clear in the number of licenses sold. With volumes sold in the low millions, desktop virtualization is way beyond the tryout and pilot stage. However, desktop virtualization is not yet for every user. There are a number of areas where it's still not a good fit. For example, a user who does not always have access to the Internet from his or her laptop may not be able to use a hosted virtual desktop. This is a problem that will be addressed by client hypervisors in coming years. These provide the management benefits of desktop virtualization to the intermittently connected user. For now, they are very new but will become critical for mobile workers and may also have a major role to play in bringing down the costs of desktop virtualization for non-mobile users as well. Of perhaps more concern is the question of the economic basis for hosted virtual desktops. This has recently become more visible thanks to Microsoft's paper 'VDI TCO Analysis for Office Worker Environments,'  which compares the total cost of ownership of traditional PCs and their virtual desktop alternatives. Their conclusion is that hosted virtual desktops are more expensive to deliver than a traditional, well-managed PC. There are a number of interesting points and conclusions to draw from this document. Firstly, Micros

E-Learning industry is witnessing tremendous growth in terms of revenue and application. It has become a synonym for many of the learning requirements in corporates, academics and government institutions. To provide most suitable learning solutions, industry experts exploring and inventing creative methods and approaches such as Custom Learning Solutions, Rapid Learning Solutions, Gamifications, Instructor Led Training programs and blend of these methods and approaches.

Master HTML5 with JavaScript and CSS3 with proficient HTML5 training from experienced trainers at Multisoft Systems. Complete assistance through mock tests, progress reports and in-depth analysis.