Network Terms to Learn by Kalai Selvi Arivalagan (top android ebook reader TXT) 📕

Virtual Machine Escape

Virtual machine escape is a security exploit that enables a hacker/cracker to gain access to the primary hypervisor and its created virtual machines. Virtual machine escape enables a user to escape from the guest OS boundary created and managed by the hypervisor and gain access to the top tier virtualization layer.

Decision Theory

Decision theory is a study of an agent's rational choices that supports all kinds of new progress in technology such as work on machine learning and artificial intelligence. Decision theory looks at how decisions are made, how multiple decisions influence one another, and how decision-making parties deal with uncertainty. Decision theory is also known as theory of choice.

Lemmatization

The process of lemmatization in natural language processing involves working with words according to their root lexical components. It is used in natural language processing and natural language understanding in computer programming and artificial intelligence.


Automatic Machine Learning

Automatic machine learning (AutoML) is a general discipline that involves automating any part of the entire process of machine learning application. By working with various stages of the machine learning process, engineers develop solutions to expedite, enhance and automate parts of the machine learning pipeline. Automatic machine learning is also known as automated machine learning.

Deep Reinforcement Learning

Deep reinforcement learning is reinforcement learning that is applied using deep neural networks.  This type of learning involves computers on acting on sophisticated models and looking at large amounts of input in order to determine an optimized path or action.

Snowshoe Spamming

Snowshoe spamming is a strategy in which spam is propagated over several domains and IP addresses to weaken reputation metrics and avoid filters. The increasing number of IP addresses makes recognizing and capturing spam difficult, which means that a certain amount of spam reaches their destination email inboxes. Specialized spam trapping organizations are often hard pressed to identify and trap snowshoe spamming via conventional spam filters.  The strategy of snowshoe spamming is similar to actual snowshoes that distribute the weight of an individual over a wide area to avoid sinking into the snow. Likewise, snowshoe spamming delivers its weight over a wide area to remain clear of filters.

Metadata

Metadata is data about data. In other words, it is data that is used to describe another item's content.  The term metadata is often used in the context of Web pages, where it describes page content for a search engine.

Cryptocurrency Exchange

A cryptocurrency exchange is any system that operates on the basis of trading cryptocurrencies with other assets. Like a traditional financial exchange, the cryptocurrency exchange's core operation is to allow for the buying and selling of these digital assets, as well as others.  A cryptocurrency exchange is also known as a digital currency exchange (DCE).

Dogecoin

Dogecoin is a dog-themed cryptocurrency pioneered in 2013, an alternative to more famous choices like bitcoin. Although the value of an individual Dogecoin is very small (often a portion of a cent) the massive number of Dogecoins in circulation correlates to a market capitalization of over $1 billion.

Password Salting

Password salting is a form of password encryption that involves appending a password to a given username and then hashing the new string of characters. This is usually done via an MD5 hashing algorithm. Password-salting is most commonly found within Linux operating systems, and it is generally considered a more secure password encryption model than any of the models used within the various Microsoft distributions.

FTP Server

The primary purpose of an FTP server is to allow users to upload and download files. An FTP server is a computer that has a file transfer protocol (FTP) address and is dedicated to receiving an FTP connection. FTP is a protocol used to transfer files via the internet between a server (sender) and a client (receiver). An FTP server is a computer that offers files available for download via an FTP protocol, and it is a common solution used to facilitate remote data sharing between computers.

An FTP server is an important component in FTP architecture and helps in exchanging files over the internet. The files are generally uploaded to the server from a personal computer or other removable hard drives (such as a USB flash drive) and then sent from the server to a remote client via the FTP protocol.

An FTP server needs a TCP/IP network to function and is dependent on the use of dedicated servers with one or more FTP clients. In order to ensure that connections can be established at all times from the clients, an FTP server is usually switched on; up and running 24/7.

An FTP server is also known as an FTP site or FTP host.

Kubernetes

The Kubernetes container system is an open-source system for container virtualization. It is a popular part of new enterprise plans to streamline IT services and architectures, for example, the creation of microservices or new application containment systems that help companies to enhance their processes and build a “DevOps” or agile development model. 

Rapid Mobile Application Development

Rapid mobile application development (RMAD) is a specific type of rapid application development (RAD) that affects mobile designs. It is based on the idea that application development can be expedited with various streamlining approaches.

Secure Real-Time Protocol

Secure Real-Time Protocol (Secure RTP or SRTP) is an extension of the RTP protocol with an enhanced security mechanism. It provides encryption, authentication and integrity verification of data and messages passed through the RTP-based communication protocol. Released in 2004, SRTP was developed by Cisco and Ericsson security experts.

Dark Data

Dark data is a type of unstructured, untagged and untapped data that is found in data repositories and has not been analyzed or processed. It is similar to big data but differs in how it is mostly neglected by business and IT administrators in terms of its value.  Dark data is also known as dusty data.

Predictive Maintenance

Predictive maintenance is a maintenance strategy driven by predictive analytics. The solutions are used for detecting failure patterns or anomalies, but are only deployed when there is high probability of imminent failure. This helps in deploying limited resources, maximizing device or equipment uptime, enhancing quality and supply chain processes, and thus improving the overall satisfaction for all the stakeholders involved.

 Multi-Cloud Strategy

A multi-cloud strategy, often spoken of in the context of enterprise, is when a client or stakeholder uses more than one cloud computing service. It has been a time-tested method of optimizing business operations for companies of significant sizes that have different needs for different data sets or services.

 Quantum Computer

A quantum computer is a computer that operates on and/or incorporates aspects of quantum theory. Quantum computers are largely theoretical because of the massive amount of data needed to make them perform significantly, although some practical models have been developed, and current research is attempting to realize some of the theory of quantum computing.  Quantum computers may also be called probabilistic or nondeterministic computers.

 Big Data Streaming

Big data streaming is a process in which big data is quickly processed in order to extract real-time insights from it. The data on which processing is done is the data in motion. Big data streaming is ideally a speed-focused approach wherein a continuous stream of data is processed.

 IoT Solutions Architect

An IoT solutions architect is a professional role involved in developing practical uses and applications of internet of things technology. The IoT solutions architect typically works with engineers and salespeople to facilitate process development.

Delegated Byzantine Fault Tolerance (dBFT)

Delegated Byzantine Fault Tolerance (dBFT) is a sophisticated algorithm meant to facilitate consensus on a blockchain. Although it is not in common use as of yet, it represents an alternative to simpler proof of stake, proof of importance and proof of work methods.

Delegated Proof of Stake (DPoS)

Delegated proof of stake (DPoS) is a verification and consensus mechanism in the blockchain. It competes with other proof of work and proof of stake models as a way to verify transactions and promote blockchain organization.

Clustering

Clustering, in the context of databases, refers to the ability of several servers or instances to connect to a single database. An instance is the collection of memory and processes that interacts with a database, which is the set of physical files that actually store data. Clustering offers two major advantages, especially in high-volume database environments:

Fault tolerance: Because there is more than one server or instance for users to connect to, clustering offers an alternative, in the event of individual server failure.

Load balancing: The clustering feature is usually set up to allow users to be automatically allocated to the server with the least load.

Soft Robotics

Soft robotics is the subset of robotics that focuses on technologies that more closely resemble the physical characteristics of living organisms. Experts describe the soft robotics approach as a form of biomimicry in which the traditionally linear and somewhat stilted aspects of robotics are replaced by much more sophisticated models that imitate human, animal and plant life.

Brooks' Law

Brooks’ Law refers to a well-known software development principle coined by Fred Brooks in The Mythical Man-Month.  The law, "Adding manpower to a late software project makes it later," states that when a person is added to a project team, and the project is already late, the project time is longer, rather than shorter.

Cluster Analysis

Cluster analysis is a statistical classification technique in which a set of objects or points with similar characteristics are grouped together in clusters. It encompasses a number of different algorithms and methods that are all used for grouping objects of similar kinds into respective categories. The aim of cluster analysis is to organize observed data into meaningful structures in order to gain further insight from them.

Big Data Visualization

Big data visualization refers to the implementation of more contemporary visualization techniques to illustrate the relationships within data. Visualization tactics include applications that can display real-time changes and more illustrative graphics, thus going beyond pie, bar and other charts. These illustrations veer away from the use of hundreds of rows, columns and attributes toward a more artistic visual representation of the data.

Distributed System

A distributed system is any network structure that consists of autonomous computers that are connected using a distribution middleware. Distributed systems facilitate sharing different resources and capabilities, to provide users with a single and integrated coherent network.  The opposite of a distributed system is a centralized system. If all of the components of a computing system reside in one machine, as was the case with early mainframes such as Von Neumann machines, it is not a distributed system.

Hashing

Hashing is the process of translating a given key into a code. A hash function is used to substitute the information with a newly generated hash code. More specifically, hashing is the practice of taking a string or input key, a variable created for storing narrative data, and representing it with a hash value, which is typically determined by an algorithm and constitutes a much shorter string than the original. The hash table will create a list where all value pairs are stored and easily accessed through its index. The result is a technique for accessing key values in a database table in a very efficient manner as well as a method to improve the security of a database through encryption.

Hashing makes use of algorithms that transform blocks of data from a file in a much shorter value or key of a fixed length that represent those strings. The resulting