Business growth, the internet and risk management in the computer games industry

According to Wasserman (2011) the growth of the Internet has transformed the software industry in a wide variety of ways. These include the creation of new business opportunities as well as significant impacts across software business processes such as software development, distribution and product support. This chapter examines one significant sub-sector of the software industry, the computer (or video) games industry, and focuses on the impact on games development companies of the opportunities created by developments in Internet and mobile technologies

A survey of current social network and online communication provision policies to support law enforcement identify offenders

Online forms of harassment, stalking and bullying on social network and communication platforms are now arguably wide-spread and subject to regular media coverage. As these provision continue to attract millions of users, generating significant volumes of traffic, regulating abuse and effectively reprimanding those who are involved in it, is a difficult and sometimes impossible task. This article collates information acquired from 22 popular social network and communication platforms in order to identify current regulatory gaps. Terms of service and privacy policies are reviewed to assess existing practices of data retention to evaluate the feasibility of law enforcement officials tracking those whose actions breach the law. For each provision, account sign-up processes are evaluated and policies for retaining Internet Protocol logs and user account information are assessed along with the availability of account preservation orders. Finally, recommendations are offered for improving current approaches to regulating social network crime and online offender tracking.</p

Big Data Analytics for Wireless and Wired Network Design: A Survey

Currently, the world is witnessing a mounting avalanche of data due to the increasing number of mobile network subscribers, Internet websites, and online services. This trend is continuing to develop in a quick and diverse manner in the form of big data. Big data analytics can process large amounts of raw data and extract useful, smaller-sized information, which can be used by different parties to make reliable decisions. In this paper, we conduct a survey on the role that big data analytics can play in the design of data communication networks. Integrating the latest advances that employ big data analytics with the networks’ control/traffic layers might be the best way to build robust data communication networks with refined performance and intelligent features. First, the survey starts with the introduction of the big data basic concepts, framework, and characteristics. Second, we illustrate the main network design cycle employing big data analytics. This cycle represents the umbrella concept that unifies the surveyed topics. Third, there is a detailed review of the current academic and industrial efforts toward network design using big data analytics. Forth, we identify the challenges confronting the utilization of big data analytics in network design. Finally, we highlight several future research directions. To the best of our knowledge, this is the first survey that addresses the use of big data analytics techniques for the design of a broad range of networks