Abstract

The increasing demand for content-centric applications has motivated researchers to rethink and redesign the way information is stored and delivered on the Internet. Increasingly, network traffic consists of content dissemination to multiple recipients. However, the host-centric architecture of the Internet was designed for point-to-point communication between two fixed endpoints. As a result, there is a mismatch between the current Internet architecture and current data or content-centric applications, where users demand data, regardless of the source of the information, which in many cases is unknown to them. Content-based networking has been proposed to address such demands with the advantage of increased efficiency, network load reduction, low latency, and energy efficiency. The publish/subscribe (pub/sub) communication paradigm is the most complex and mature example of such a network. Another example is Information Centric Networking (ICN), a global-scale version of pub/sub systems that aims at evolving the Internet from its host-based packet delivery to directly retrieving information by name. Both approaches completely decouple senders (or publishers) and receivers (or subscribers) being very suitable for content-distribution applications or event-driven applications such as instant news delivery, stock quote dissemination, and pervasive computing. To enable this capability, at the core of pub/sub systems are distributed routers or brokers that forward information based on its content. The basic operation that brokers need to perform is to match incoming messages or publications against registered interests or subscriptions. Though a lot of research has focused on increasing the networking efficiency, security has been only marginally addressed. We believe there are several reasons for this. First of all, security solutions designed for point-to-point communication such as symmetric-key encryption do not scale up to pub/sub systems or ICN applications, mainly because publishers and subscribers are decoupled and it is infeasible for them to establish or to maintain contact and therefore to exchange keying material. In this thesis we analyse several such emerging applications like Smart Energy Systems, Smart Cities and eHealth applications that require greater decoupling of publishers and subscribers, and possible full decoupling. Second, in large applications that run over public networks and span several administrative domains, brokers cannot be trusted with the content of exchanged messages. Therefore, what pub/sub systems need are solutions that allow brokers to match the content of publications against subscriptions without learning anything about their content. This task is made even more difficult when subscriptions are complex, representing conjunctions and disjunctions of both numeric and non-numeric inequalities. The solutions we surveyed were unable to provide publication and subscription confidentiality, while at the same time supporting complex subscription filters and keeping key management scalable. Another challenge for publish/subscribe systems is enforcing fine-grained access control policies on the content of publications. Access control policies are usually enforced by a trusted third party or by the owner holding the data. However, such solutions are not possible for pub/sub systems. When brokers are not trusted, even the policies themselves should remain private as they can reveal sensitive information about the data. In this thesis we address these challenges and design a novel security solution for pub/sub systems when brokers are not trusted such that: (i) it provides confidentiality of publications and subscriptions, (ii) it does not require publishers and subscribers to share keys, (iii) it allows subscribers to express complex subscription filters in the form of general Boolean expressions of predicates, and (iv) it allows enforcing fine-grained access control policies on the data. We provide a security analysis of the scheme. %We further consider active attackers that corrupt messages or try to disrupt the network by replaying old legitimate messages, or that the publishers and subscribers themselves could misbehave, and provide solutions for data integrity, authentication and non-repudiation. Furthermore, to secure data caching and replication in the network, a key requirement for ICN systems and recently also of pub/sub systems that extended brokers with database functionality, we show how our solution can be transformed in an encrypted search solution able to index publications at the broker side and allow subscribers to make encrypted queries. This is the first full-fledged multi-user encrypted search scheme that allows complex queries. We analyse the inference exposure of our index using different threat models. To allow our encrypted routing solution to scale up to large applications or performance constrained applications that require real-time delivery of messages, we also discuss subscription indexing and the inference exposure of the index. Finally, we implement our solution as a set of middleware-agnostic libraries and deploy them on two popular content-based networking implementations: a pub/sub system called PADRES, and an ICN called CCNx. Performance analysis shows that our solution is scalable.