IPTV is regarded as one of the key technologies of triple play services by telecommunication incumbents. It is seen as the differentiator to reduce customer churn. However, as more operators deploy this service, the factors for differentiation are dissolving rapidly. In this paper we present how identity management can enrich IPTV and thus provide a variety of new business opportunities that will foster an operator's position and the contractual bindings with its customers. We present novel business models that are made possible by integrated identity management and describe their importance to the user. Furthermore, we address privacy aspects for IPTV service portfolios - a topic which is crucial to gain user acceptance for new services.

User privacy is a growing requirement in the evolution of communication networks. In this sense, the concept of virtual personae, which corresponds to different identities of the same user, starts getting much attention. However, to provide privacy and non-linkage between these virtual users, a cross-layer approach to identity needs to be supported. This paper proposes a solution to preserve the application layer privacy models by applying the virtual personae concept throughout the network stack. It also proposes mechanisms for non-correlation between identities in 4G mobile environments, and addresses the benefits of the evolving multi-homing characteristics of 4G networks to enrich the non-linkage between identities support of our privacy solution.

This paper details a novel architecture, MobiSplit [17], for managing mobility in future IP based networks. The architecture separates mobility management in two levels, local and global, that are managed in completely independent ways. We describe how such a mobility architecture can be used to support a new paradigm in mobility. By combining the user's identity with a multi physical virtual terminal we treat the movement of people rather than their physical manifestations in one device. We conclude by analyzing the concrete system, built from this new architecture and existing protocols, in terms of scalability, flexibility and security.

Wireless LAN and other radio broadcast technologies are now in full swing. However, the widespread usage of these technologies comes at the price of location privacy, be it by observing the communication patterns or the interface identifiers. Although a number of network level solutions have been proposed , this paper describes a novel approach to location privacy at the link layer level. We present a generic mechanism and then map it to a real protocol, IEEE 802.11. The work also provides an analysis of the protocol in terms of privacy and performance considerations.

Privacy and security are important features for the future mobile wireless Internet since users expect a privacy level comparable to that of today's cellular networks. Separating identifiers from locators is a current practice in today's new network protocols and is a small step on the right direction. However, the separation must be maintained in the presence of an intruder who eavesdrops or manipulates the traffic. In this paper we present a generic framework that targets these problems at the network layer. We further instantiate this framework with an example architecture using well-known protocols which support mobility.

In-network data aggregation is a popular technique for reducing the energy consumption tied to data transmission in a multi-hop wireless sensor network. However, data aggregation in untrusted or even hostile environments becomes problematic when end-to-end privacy between sensors and the sink is desired. In this paper we revisit and investigate the applicability of additively homomorphic public-key encryption algorithms for certain classes of wireless sensor networks. Finally, we provide recommendations for selecting the most suitable public key schemes for different topologies and wireless sensor network scenarios.

Routing in wireless sensor networks is different from that in commonsense mobile ad-hoc networks. It mainly needs to support reverse multicast traffic to one particular destination in a multihop manner. For such a communication pattern, end-to-end encryption is a challenging problem. To save the overall energy resources of the network, sensed data needs to be consolidated and aggregated on its way to the final destination. We present an approach that 1) conceals sensed data end-to-end by 2) still providing efficient and flexible in-network data aggregation. The aggregating intermediate nodes are not required to operate on the sensed plaintext data. We apply a particular class of encryption transformations and discuss techniques for computing the aggregation functions "average" and "movement detection." We show that the approach is feasible for the class of "going down" routing protocols. We consider the risk of corrupted sensor nodes by proposing a key predistribution algorithm that limits an attacker's gain and show how key predistribution and a key-ID sensitive "going down" routing protocol help increase the robustness and reliability of the connected backbone

End-to-end encryption for wireless sensor networks is a challenging problem. To save the overall energy resources of the network, it is agreed that sensed data need to be consolidated and aggregated on their way to the final destination. We present an approach that (1) conceals sensed data end-to-end, by (2) still providing efficient in-network data aggregation. The aggregating intermediate nodes are not required to operate on the sensed plaintext data. We apply a particular class of encryption transformation and exemplarily discuss the approach on the basis of two aggregation functions. We use actual implementation to show that the approach is feasible and flexible and frequently even more energy efficient than hop-by-hop encryption.

End-to-end encryption schemes that support operations over ciphertext are of utmost importance for commercial private party wireless sensor network implementations to become meaningful and profitable. For wireless sensor networks, we demonstrated in our previous work that privacy homomorphisms, when used for this purpose, offer two striking advantages apart from end-to-end concealment of data and ability to operate on ciphertexts: flexibility by keyless aggregation and conservation and balancing of aggregator backbone energy. We offered proof of concept by applying a certain privacy homomorphism for sensor network applications that rely on the addition operation. But a large class of aggregator functions like median computation or finding maximum/minimum rely exclusively on comparison operations. Unfortunately, as shown by Rivest, et al., any privacy homomorphism is insecure even against ciphertext that only attacks if they support comparison operations. In this paper we show that a particular order preserving encryption scheme achieves the above mentioned energy benefits and flexibility when used to support comparison operations over encrypted texts for wireless sensor networks, while also managing to hide the plaintext distribution and being secure against ciphertext only attacks. The scheme is shown to have reasonable memory and computation overhead when applied for wireless sensor networks.

This paper describes the architecture and current capabilities of Carl, a prototype of an intelligent service robot, designed having in mind such tasks as serving food in a reception or acting as a host in an organization. The approach that has been followed in the design of Carl is based on an explicit concern with the integration of the major dimensions of intelligence, namely communication, action, reasoning and learning. The paper focuses on the multi-modal human-robot communication capabilities of Carl, since these have been significantly improved during the last year.

The development of robots capable of accepting instructions in terms of familiar concepts to the user is still a challenge. For these robots to emerge it’s essential the development of natural language interfaces, since this is regarded as the only interface acceptable for a machine which expected to have a high level of interactivity with Man. Our group has been involved for several years in the development of a mobile intelligent robot, named Carl, designed having in mind such tasks as serving food in a reception or acting as a host in an organization. The approach that has been followed in the design of Carl is based on an ex-plicit concern with the integration of the major dimensions of intelligence, namely Communication, Action, Reasoning and Learning. This paper focuses on the multi-modal human-robot language communication capabilities of Carl, since these have been significantly improved during the last year. 1.