This research investigates the European Mobile Telecommunications industry, looking at the biggest strategic challenges Mobile Operators are going to face in the next years. Mobile Services platforms represent the most important paradigm in the industry. Companies as Apple, Google and Facebook have successfully married new consumer devices and Internet platforms with a variety of online services and content undermining Operators ́ central role in the value network. This scenario highlights the importance to investigate how Operators can adopt successful strategies to keep on playing a meaningful role in the Mobile Services domain.These strategies are identifies and mapped adopting a value network model for the Mobile Services domain. This model is the main contribution of this research, tracking new ways of cooperating among them. Operators ́ strategies revolve around two main drivers: defeating networks congestion (investing in network upgrade, optimization & spectrum auctions, charging Service Providers for HQ delivery services and elaborating data price plans for mobile customers) and finding new revenue opportunities (working with Service Providers to offer Location-based services, offering charging services to interested parties and working on Mobile Services platforms).As first step, the investigation offers an overview over the industry, looking at static (actors, technologies, services, devices, end-users and value network configuration) as well as dynamic (trends as Open Mobile, MVNOs, Fixed-Mobile Convergence and Substitution and 4G adoption) aspects. Then the research continues analyzing Mobile Services platforms, proposing an interesting approach to classify scientific articles about this topic. Italy is analyzed as case study and subsequently the model is developed. To conclude the study deals with some reflections about the delicate topic of shaping strategies after a massive usage of end-users data to provide innovative and sophisticated mobile services.

Consumers of digital contents are empowered with numerous technologies allowing them to produce perfect copies of these contents and distribute them around the world with little or no cost. To prevent illegal copying and distribution, a technology called Digital Rights Management (DRM) is developed. With this technology, consumers are allowed to access digital contents only if they have purchased the corresponding licenses from license issuers. The problem, however, is that those consumers are not allowed to resell their own licenses- a restriction that goes against the first-sale doctrine. Enabling a consumer to buy a digital license directly from another consumer and allowing the two consumers to fairly exchange the license for a payment are still an open issue in DRM research area. This thesis investigates existing security solutions for achieving digital license reselling and analyses their strengths and weaknesses. The thesis then proposes a novel Reselling Deal Signing (RDS) protocol to achieve fairness in a license reselling. The idea of the protocol is to integrate the features of the concurrent signature scheme with functionalities of a License Issuer (LI). The security properties of this protocol is informally analysed and then formally verified using ATL logic and the model checker MOCHA. To assess its performance, a prototype of the RDS protocol has been developed and a comparison with related protocols has been conducted. The thesis also introduces two novel digital tokens a Reselling Permission (RP) token and a Multiple Reselling Permission (MRP) token. The RP and MRP tokens are used to show whether a given license is single and multiple resalable, respectively. Moreover, the thesis proposes two novel methods supporting fair and secure digital license reselling. The first method is the Reselling Deal (RD) method which allows a license to be resold once. This method makes use of the existing distribution infrastructure, RP, License Revocation List (LRL), and three protocols: RDS protocol RD Activation (RDA) protocol, and RD Completion (RDC) protocol. The second method is a Multiple License Reselling (MLR) method enabling one license to be resold N times by N consumers. The thesis presents two variants of the MLR method: RRP-MR (Repeated RP-based Multi-Reselling) and HC-MR (Hash Chain-based Multi-Reselling). The RRP-MR method is designed such that a buyer can choose to either continue or stop a multi-reselling of a license. Like the RD method, the RRP-MR method makes use of RP, LI, LRL, and the RDS, RDA, and RDC protocols to achieve fair and secure reselling. The HC-MR method allows multiple resellings while keeping the overhead on LI at a minimum level and enable a buyer to check how many times a license can be further resold. To do so, the HC-MR utilises MRP and the hash chain cryptographic primitive along with LRL, LI and the RDS, RDA and RDC protocols. The analysis and the evaluation of these three methods have been conducted. While supporting the license reselling, the two methods are designed to prevent a reseller from (1) continuing using a resold license, (2) reselling a non-resalable license, and (3) reselling one license a unauthorised number of times. In addition, they enable content owners of resold contents to trace a buyer who has violated any of the usage rights of a license bought from a reseller. Moreover, the methods enable a buyer to verify whether a license he is about to buy is legitimate for re-sale. Furthermore, the two methods support market power where a reseller can maximise his profit and a buyer can minimise his cost in a reselling process. In comparison with related works, our solution does not make use of any trusted hardware device, thus it is more cost-effective, while satisfying the interests of both resellers and buyers, and protecting the content owner's rights.