-In the last years, governmental bodies have been futilely trying to fight against dark web marketplaces. Shortly after the closing of "The Silk Road" by the FBI and Europol in 2013, new successors have been established. Through the combination of cryptocurrencies and nonstandard communication protocols and tools, agents can anonymously trade in a marketplace for illegal items without leaving any record. This paper presents a research carried out to gain insights on the products and services sold within one of the larger marketplaces for drugs, fake ids and weapons on the Internet, Agora. Our work sheds a light on the nature of the market; there is a clear preponderance of drugs, which accounts for nearly 80% of the total items on sale. The ready availability of counterfeit documents, while they make up for a much smaller percentage of the market, raises worries. Finally, the role of organized crime within Agora is discussed and presented.
Abstract-When considering the jobs market, changes or recurring trends for skilled employees expressed by employers' needs have a tremendous impact on the evolution of website content. On-line jobs sites adverts, academic institutions and professional development "standard bodies" all share those needs as their common driver for contents evolution. This paper aims, on one hand, to discuss and to analyse how current needs and requirements ("demand") of IT skills in the UK job market drive the contents of different types of websites, in turn analysing whether this demand changes and how. On the other hand, it is studied what the UK higher education institutions have to offer to fulfill this demand.The results found analysing the evolution of the largest on-line job centre (www.monster.com), and the websites of selected UK academic institutions, demonstrate that often what is requested by UK industries is not clearly offered by UK institutions. Given the prominence of monster.com in the global economy, these results could provide a meaningful starting point to support curricula development in UK, as much as worldwide.
Smart cities rely on large-scale heterogeneous distributed systems known as Cyber-Physical Systems (CPS).Information systems based on CPS typically analyse a massive amount of data collected from various data sources that operate under noisy and dynamic conditions. How to determine the quality and reliability of such data is an open research problem that concerns the overall system safety, reliability and security. Our research goal is to tackle the challenge of real-time data quality assessment for large-scale CPS applications with a hybrid anomaly detection system. In this paper we describe the architecture of HADES, our Hybrid Anomaly DEtection System for sensors data monitoring, storage, processing, analysis, and management. Such data will be filtered with correlation-based outlier detection techniques, and then processed by predictive analytics for anomaly detection.
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