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Textual information has become for sale in abundance on the net, arising the necessity of techniques and tools to extract the meaningful information. Among such an important info extraction task is Named Entity Recognition and Classification. It's the situation of locating the members of numerous predetermined classes, such as for example person, organization, location, date/time, quantities, numbers etc. The concept of named entity extraction was first proposed in Sixth Message Understanding Conference in 1996. Since that time, several techniques have already been manufactured by many researchers for extracting diversity of entities from different languages and genres of text. Still, there's a growing interest among research community to produce more new approaches to extract diverse named entities which are helpful in several natural language applications. Here we present a survey of developments and progresses manufactured in Named Entity Recognition and Classification research. PC Reviewer

In the era of electronic and mobile commerce, massive numbers of financial transactions are conducted online on daily basis, which created potential fraudulent opportunities. A typical fraudulent activity that involves developing a replica of a trustful website to deceive users and illegally obtain their credentials is website phishing. Website phishing is a serious online fraud, costing banks, online users, governments, and other organisations severe financial damages. One conventional approach to combat phishing is to raise awareness and educate novice users on the various tactics utilised by phishers by conducting periodic training or workshops. However, this process has been criticised to be not affordable as phishing tactics are constantly changing besides it could require high operational cost. Another anti-phishing approach would be to legislate or amend existing cyber security laws that persecute online fraudsters without minimising its severity. A more promising anti-phishing approach is to avoid phishing attacks using intelligent machine learning (ML) technology. Using this technology, a classification system is integrated in the browser in which it will detect phishing activities and communicate these with the conclusion user. This paper reviews and critically analyses legal, training, educational and intelligent anti-phishing approaches. Most importantly, ways to combat phishing by intelligent and conventional are highlighted, besides revealing these approaches differences, similarities and positive and negative aspects from the user and performance prospective. Different stakeholders such as for example computer security experts, researchers in web security as well as business owners may likely take advantage of this review on website phishing.

Virtualization technology allows multiple os's to talk about hardware resources of a computer system in an isolated manner. Traditionally, memory is shared by an os using segmentation and paging techniques. With virtualization, memory partitioning and management has several new challenges. For isolated and safe execution, hypervisors do not provide direct use of hardware resources. Not enough direct use of the memory management hardware like page tables disqualifies direct usage of virtual memory solutions applied to native (non-virtualized) setups. Further, aspects of dual control of the memory resource (by the guest OS and the hypervisor) and not enough semantics regarding memory usage in virtual machines present additional challenges for memory management. This paper surveys different techniques of memory partitioning and management across multiple guest OSs in a virtualized environment.

A significant goal of virtualization is to improve the physical machine utilization to be able to save costs. With varying application demand for memory and diverse memory management policies of the guest OSs, ensuring optimal usage of memory is non-trivial. In this survey, challenges of memory management in virtualized systems, different memory management techniques making use of their implications, and optimizations to improve memory utilization are discussed in detail. https://pcreviewer.org