A single statistical framework, comprising power law distributions and scale-free networks, seems to fit a wide variety of phenomena. There is evidence that power laws appear in software at the class and function level. We show that distributions with long, fat tails in software are much more pervasive than previously established, appearing at various levels of abstraction, in diverse systems and languages. The implications of this phenomenon cover various aspects of software engineering research and practice.
Purpose -Cybercrime is a serious threat for most modern societies as it hinders the necessary adoption of information and communication technologies (ICT). This paper seeks to analyze a large number of real cases related to the cybercrime in Greece. Design/methodology/approach -All cases were voluntarily submitted from Greek users, who asked for assistance to a special task force, composed of public sector employees and servants. By analyzing more than 1,000 similar cases, the paper derives a taxonomy of security-related incidents that the Greek users encountered during the past years. Greece only recently embraced broadband technologies and, therefore, this paper is able to observe the corresponding increase of cybercriminal activities.Findings -An analysis of the reports received by the task force indicate a clear shift in the type of reported content. A large number of recent reports from Greek users concern financial fraud schemes and phenomena of cyberbullying and cyber-extortions, activities related primarily to the newly emerged social networking sites. Originality/value -The paper offers insights into cybercrime in Greece via real case studies.
MoR-Trust is a purely decentralized peer-to-peer trust management system, targeted towards networks and applications supporting transactions or collaborations of a quantitative nature. MoR-Trust is based on the notion of expressing trust in terms of monetary units, thus directly coupling the trust estimates circulated in the network with the values of the transactions taking place and their outcomes. We have validated our design decisions and algorithms through simulation. The results indicate that our system converges towards a small error in the trust estimates distributed throughout the network.
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