Compositional analysis of contract signing protocols
We develop a general method for reasoning about contract-signing protocols using a specialized protocol logic. The method is applied to prove properties of the Asokan-Shoup-Waidner and the Garay-Jacobson-MacKenzie protocols. Our method offers certain advantages over previous analysis techniques. First, it is compositional: the security guarantees are proved by combining the independent proofs for the three sub-protocols of which each protocol is comprised. Second, the formal proofs are carried out in a "template" form, which gives us a reusable proof that may be instantiated for the ASW and GJM protocols, as well as for other protocols with the same arrangement of messages. Third, the proofs follow the design intuition. In particular, in proving game-theoretic properties like fairness, we demonstrate that the specific strategy that the protocol designer had in mind works, instead of showing that one exists. Finally, our results hold even when an unbounded number of sessions are executed in parallel.

title: Secure Protocol Composition
abstract: This paper continues the program initiated in , towards a derivation system for security protocols. The general idea is that complex protocols can be formally derived, starting from basic security components, using a sequence of refinements and transformations, just like logical proofs are derived starting from axioms, using proof rules and transformations. The claim is that in practice, many protocols are already derived in such a way, but informally. Capturing this practice in a suitable formalism turns out to be a considerable task. The present paper proposes rules for composing security protocols from given security components. In general, security protocols are, of course, not compositional: information revealed by one may interfere with the security of the other. However, annotating protocol steps by pre- and post-conditions, allows secure sequential composition. Establishing that protocol components satisfy each other's invariants allows more general forms of composition, ensuring that the individually secure sub-protocols will not interact insecurely in the composite protocol. The applicability of the method is demonstrated on modular derivations of two standard protocols, together with their simple security properties.

title: Buffer management in real-time active database systems
abstract: Real-time active database systems (RTADB) have attracted the attention of researchers in recent times. Such systems are envisioned as control systems for environments as diverse as process control, network management and automated financial trading. Sensors distributed throughout the system report the state of the system to the database. Unacceptable state reports typically results in corrective actions being triggered with deadlines. Thus RTADB's incorporate both real-time as well as active characteristics. We study buffer management in RTADB. Buffer management is recognized as not being a well studied area in real-time systems. As a result of our work, we postulate PAPER, a new buffer management scheme that relies on two strategies: prefetching and priority based buffer replacement. We report the result of studies of the performance of PAPER, as compared to that of existing buffer management algorithms. The insights derived from this paper impact both real-time database systems as well as real-time, active database systems.

title: Anonymous publish/subscribe in P2P networks
abstract: One of the most important issues to deal with in peer-to-peer networks is how to disseminate information. In this paper, we use a completely new approach to solving the information dissemination problem. Our approach uses the publish/subscribe paradigm. The publish/subscribe method is the most inclusive strategy to establish communication between the information providers (publishers) and the information consumers (subscribers). We give a formal definition of publish/subscribe systems. We then use the publish/subscribe communication paradigm to design deterministic protocols (topic and content-based) for peer-to-peer networks. Our protocols are designed on top of an innovative information dissemination scheme, and can cope with the anonymity and mobility of both publishers and subscribers, weak-connectivity, and polarization, which are some of the characteristics of peer-to-peer networks. Moreover, in our solutions, every node could play a role of both publisher and subscriber The algorithms are designed completely independent of the underlying routing substrates. The key advantage of our protocols is that they are scalable without additional re-organization cost. To the best of our knowledge, this is the first time the content-based subscription has been addressed in peer-to-peer networks.

title: Self-Stabilizing Wormhole Routing on Ring Networks
abstract: Wormhole routing is most commonly used in parallel architectures in which messages are sent in small fragments, called flits. It is a lightweight and efficient method of routing messages between parallel processors. Self-stabilization is a technique that guarantees tolerance to transient faults (e.g., memory corruption or communication hazards) for a given protocol. Self-stabilization guarantees that the network recovers to a correct behavior in a finite amount of time, without the need for human intervention. Self-stabilization also guarantees the safety property, meaning that once the network is in a legitimate state, it will remain there until another fault occurs.
This paper presents the first self-stabilizing network algorithm in the wormhole routing model, using the unidirectional ring topology. Our solution benefits from wormhole routing by providing high throughput and low latency, and from self-stabilization by ensuring automatic resilience to all possible transient failures.

title: Jigsaw Texture Synthesis
abstract: Texture synthesis aims to seamlessly extend a sample texture. This can be achieved by reproducing the texture's recognisable patterns along with minimising the occurrences of undesirable image characteristics such as disjoint image features. Presently, patch-based methods have consistently produced the most impressive results. These methods involve aligning and stitching texture patches together. However, image inconsistencies exist when image features are misaligned; they are either fused together or abruptly cut off. Our method minimises the occurrences of these anomalies by using image edges to align patches and redefine their boundaries to preserve texture features. This implementation requires little to no user-defined variables or iterations and can be practically scalable given some pre-computation.

title: Intervention in context-sensitive probabilistic Boolean networks
abstract: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied in the framework of a probabilistic Boolean network (PBN), which is essentially a finite collection of Boolean networks in which at any discrete time point the gene state vector transitions according to the rules of one of the constituent networks. For an instantaneously random PBN, the governing Boolean network is randomly chosen at each time point. For a context-sensitive PBN, the governing Boolean network remains fixed for an interval of time until a binary random variable determines a switch. The theory of automatic control has been previously applied to find optimal strategies for manipulating external (control) variables that affect the transition probabilities of an instantaneously random PBN to desirably affect its dynamic evolution over a finite time horizon. This paper extends the methods of external control to context-sensitive PBNs.



This paper treats intervention via external control variables in context-sensitive PBNs by extending the results for instantaneously random PBNs in several directions. First, and most importantly, whereas an instantaneously random PBN yields a Markov chain whose state space is composed of gene vectors, each state of the Markov chain corresponding to a context-sensitive PBN is composed of a pair, the current gene vector occupied by the network and the current constituent Boolean network. Second, the analysis is applied to PBNs with perturbation, meaning that random gene perturbation is permitted at each instant with some probability. Third, the (mathematical) influence of genes within the network is used to choose the particular gene with which to intervene. Lastly, PBNs are designed from data using a recently proposed inference procedure that takes steady-state considerations into account. The results are applied to a context-sensitive PBN derived from gene-expression data collected in a study of metastatic melanoma, the intent being to devise a control strategy that reduces the WNT5A gene's action in affecting biological regulation, since the available data suggest that disruption of this influence could reduce the chance of a melanoma metastasizing.