VoIP, often known as voice over internet protocol, is quickly gaining acceptance as a less expensive calling option. Session Initiation Protocol or SIP, and Inter-Asterisk eXchange, also known as IAX, are two additional protocols that can be used with VoIP. The primary distinction between SIP and IAX is that IAX uses bandwidth far more effectively than SIP does. IAX was developed primarily for this reason. Compared to SIP, adopting IAX enables you to carry more concurrent phone conversations over a given bandwidth. For those in the telecommunications industry, understanding the differences between Session Initiation Protocol (SIP) and Inter-Asterisk eXchange (IAX) ... Read More

With the ever-growing demand for data centers and increased traffic, network administrators are looking for ways to help their operations run more smoothly. One of the most important pieces of equipment when it comes to this is transceivers. Understanding the difference between GBIC and SFP transceivers is essential in order to make sure you have the right device for your system. GBIC modules and SFP modules are both types of optical transceivers used for fiber optic communications. They are both small form factor pluggable (SFP) devices that transmit and receive data over optical fibers. GBIC modules are older and larger ... Read More

End-to-end encryption (E2EE) is a form of secure communication to prevent snooping or unauthorized access of third parties during data transfer from one end system to another. In E2EE, the data going through the sender's system is encrypted and can only be decrypted by the recipient. During the transfer phase, no one can access or tamper with the data, including the Internet service provider (ISP), application service provider, third parties, or hackers. The E2EE method is seen in various messaging services, including WhatsApp, Facebook Messenger, and zoom.Basics about Encryption Before we learn about end-to-end encryption, let's know about the basics. ... Read More

Cyberwarfare isn't a threat of the future; it is a visible and present menace. Although the cyberwarfare theme may sound like some CGI-integrated modern game or a sci-fi film, the reality is that our linked world is filled with multiple security gaps, which is very unfortunate. Mobile applications and e-commerce have greatly facilitated consumer convenience due to the digital revolution. Furthermore, expanding the cloud and transitioning to remote work settings benefit productivity and performance. Nevertheless, the contemporary internet gives criminals and political activists a chance to further their goals, whether monetary gain, political influence, or societal unrest. There have been ... Read More

Introduction A blockchain is a disseminated information base or record that is divided between the hubs of a PC organization. As a data set, a blockchain stores data electronically in a computerized design. Blockchains are most popular for their pivotal job in digital money frameworks, like Bitcoin, for keeping a safe and decentralized record of exchanges. The development of a blockchain is that it ensures the devotion and security of a record of information and produces trust without the requirement for a confided-in outsider. One critical distinction between a normal information base and a blockchain is how the information is ... Read More

Blockchain is a perfect fit for the banking industry. Banks currently face several pain points: they rely on highly-specific banking experts and bankers, constantly battling cybersecurity risks and breaches, and their operations are overly complex. However, with blockchain, banks can operate more efficiently by connecting to smart contracts instead of relying on people. Blockchain also solves the issue of cybersecurity by making it impossible to hack. Finally, individual components can be isolated from one another so that if one fails, everything remains operational. Complexity is the enemy of efficiency, and complexity costs money. Although blockchain technology is complex, it removes ... Read More

Introduction As with most new technologies, the boundaries of what was previously possible are continually pushed forward. Your phone might be able to do more than mine, but that doesn't necessarily mean it's a fad. Blockchain is the invention of the century and will revolutionize how we interact with money and information in years to come. As you'll see from this article, blockchain has already started to draw practical applications in all sectors - banking, healthcare, and energy - beyond cryptocurrency alone. Blockchain: World-Changing Innovation All transactions are permanently recorded and stored as "blocks" into an immutable chain of records ... Read More

Blockchain technology could be used in business using a distributed, unchangeable ledger that only authorized parties can see. The network members decide which companies or people can see data and alter it. People often call Blockchain a "trustless" network, but this doesn't mean that users don't trust each other. Instead, it suggests they don't have to. This confidence depends on Blockchain being more secure, open, and easy to track. Blockchain not only solves the problem of trust, but it also saves money for organizations by making them faster, cheaper, and more automated. Blockchain reduces overhead and transaction costs by reducing ... Read More

Introduction GrowNet is a novel gradient-boosting framework that uses gradient-boosting techniques to build complex neural networks from shallow deep neural networks. The shallow deep neural networks are used as weak learners. GrowNets today are finding applications in diverse domains and fields. A Brief Refresher of Gradient Boosting Algorithms. Gradient Boosting is the technique to build models sequentially and these models try to reduce the error produced by the previous models. This is done by building a model on the residuals or errors produced by the previous model. It can estimate a function using optimization using numerical methods. The most common ... Read More

Neural networks and deep learning systems are useful for a number of tasks, including pattern recognition and classification. These methods can be used to analyze large and complex datasets, and can often achieve high levels of accuracy in tasks that are difficult for traditional algorithms to solve. Additionally, neural networks and deep learning systems are able to learn and improve over time, which makes them particularly well−suited for tasks that involve unstructured or unlabeled data. In this article, we'll examine neural networks and deep learning systems in-depth and discuss how they vary from one another. What is Neural Network? A ... Read More