Methodologies for traffic profiling in communication networks

Internet Tra c, Internet Applications, Internet Attacks, Tra c Pro ling, Multi-Scale Analysis abstract Nowadays, the Internet can be seen as an ever-changing platform where new and di erent types of services and applications are constantly emerging. In fact, many of the existing dominant applications, such as social networks, have appeared recently, being rapidly adopted by the user community. All these new applications required the implementation of novel communication protocols that present di erent network requirements, according to the service they deploy. All this diversity and novelty has lead to an increasing need of accurately pro ling Internet users, by mapping their tra c to the originating application, in order to improve many network management tasks such as resources optimization, network performance, service personalization and security. However, accurately mapping tra c to its originating application is a di cult task due to the inherent complexity of existing network protocols and to several restrictions that prevent the analysis of the contents of the generated tra c. In fact, many technologies, such as tra c encryption, are widely deployed to assure and protect the con dentiality and integrity of communications over the Internet. On the other hand, many legal constraints also forbid the analysis of the clients' tra c in order to protect their con dentiality and privacy. Consequently, novel tra c discrimination methodologies are necessary for an accurate tra c classi cation and user pro ling. This thesis proposes several identi cation methodologies for an accurate Internet tra c pro ling while coping with the di erent mentioned restrictions and with the existing encryption techniques. By analyzing the several frequency components present in the captured tra c and inferring the presence of the di erent network and user related events, the proposed approaches are able to create a pro le for each one of the analyzed Internet applications. The use of several probabilistic models will allow the accurate association of the analyzed tra c to the corresponding application. Several enhancements will also be proposed in order to allow the identi cation of hidden illicit patterns and the real-time classi cation of captured tra c. In addition, a new network management paradigm for wired and wireless networks will be proposed. The analysis of the layer 2 tra c metrics and the di erent frequency components that are present in the captured tra c allows an e cient user pro ling in terms of the used web-application. Finally, some usage scenarios for these methodologies will be presented and discussed.

Narrative change in psychotherapy

This thesis focuses on the processes of narrative change in psychotherapy. Previous reviews of the processes of narrative change in psychotherapy concluded that a general theory that details narrative concepts appropriate to understand psychotherapy processes, explains the dynamic processes between narratives, and how they relate to positive outcomes is needed. This thesis addresses this issue by suggesting a multi-layered model that accounts for transformations in different layers of narrative organization. Accordingly, a model was specified that considers three layers of narrative organization: a micro-layer of narrative innovations that disrupt the clients’ usual way of construct meaning from life situations (innovative moments), a meso-layer of narrative scripts that integrate these narrative innovations in narrative scripts that consolidate its transformative potential (protonarratives), and, finally, a macro-layer of clients’ life story (self-narrative). Globally, the empirical studies provided support for the conceptual plausibility of this model and to the specific hypothesis that were formulated on its basis. Our observations complement previous research that had underlined the integrative processes either by emphasizing thematic coherence or integration, by emphasizing the role of dynamicity and differentiation of narrative contents and processes. Additionally, they also contribute to expand previous accounts of narrative innovation through insights on the processes that characterize narrative innovation development across psychotherapy. These studies also emphasize the role of quantitative procedures in the study of narrative processes of change as they allow us to accommodate the complexity and dynamic properties of narrative processes.