Michele Bugliesi

Bio: Michele Bugliesi is an academic researcher from Ca' Foscari University of Venice. The author has contributed to research in topics: Cryptographic protocol & Logic programming. The author has an hindex of 23, co-authored 116 publications receiving 1837 citations. Previous affiliations of Michele Bugliesi include University of Padua.

Boxed Ambients

Abstract: Boxed Ambients are a variant of Mobile Ambients that result from (i) dropping the open capability and (ii) providing new primitives for ambient communication while retaining the constructs in and out for mobility. The new model of communication is faithful to the principles of distribution and location-awareness of Mobile Ambients, and complements the constructs for Mobile Ambient mobility with finer-grained mechanisms for ambient interaction.

Modularity in Logic Programming

Abstract: The research on modular logic programming has evolved along two different directions during the past decade. Various papers have focused primarily on the problems of programming-in-the-large. They have proposed module systems equipped with compositional operators for building programs as combinations of separate and independent components. Other proposals have instead concentrated on the problem of programming-in-the-small in an attempt to enrich logic programming with abstraction and scoping mechanisms available in other programming paradigms. The issues that arise in the two approaches are substantially different. The compositional operators of the former allow one to structure programs without any need to extend the theory of Horn clauses. The scoping and abstraction mechanisms of the latter are modeled in terms of the logical connectives of extended logic languages. In this paper we provide a uniform reconstruction of the above approaches and we show, wherever this is possible, how the object-level logical connectives of the latter can be mapped onto the compositional operators of the former.

Access control for mobile agents: The calculus of boxed ambients

Abstract: Boxed Ambients are a variant of Mobile Ambients that result from dropping the open capability and introducing new primitives for ambient communication. The new model of communication is faithful to the principles of distribution and location-awareness of Mobile Ambients, and complements the constructs in and out for mobility with finer-grained mechanisms for ambient interaction. We introduce the new calculus, study the impact of the new mechanisms for communication of typing and mobility, and show that they yield an effective framework for resource protection and access control in distributed systems.

Secure safe ambients

Abstract: Secure Safe Ambients (SSA) are a typed variant of Safe Ambients [9], whose type system allows behavioral invariants of ambients to be expressed and verified. The most significant aspect of the type system is its ability to capture both explicit and implicit process and ambient behavior: process types account not only for immediate behavior, but also for the behavior resulting from capabilities a process acquires during its evolution in a given context. Based on that, the type system provides for static detection of security attacks such as Trojan Horses and other combinations of malicious agents.We study the type system of SSA, define algorithms for type checking and type reconstruction, define powerful languages for expressing security properties, and study a distributed version of SSA and its type system. For the latter, we show that distributed type checking ensures security even in ill-typed contexts, and discuss how it relates to the security architecture of the Java Virtual Machine.

Communication Interference in Mobile Boxed Ambients

Abstract: Boxed Ambients (BA) replace Mobile Ambients'open capability with communication primitives acting across ambient boundaries. Expressiveness is achieved at the price of communication interferences on message reception whose resolution requires synchronisation of activities at multiple, distributed locations. We study a variant of BA aimed at controlling communication interferences as well as mobility ones. Our calculus draws inspiration from Safe Ambients (SA) (with passwords) and modifies the communication mechanism of BA. Expressiveness is maintained through a new form of co-capability that at the same time registers incoming agents with the receiver ambient and performs access control.

Machine learning

Abstract: Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

The C programming language

Abstract: This ebook is the first authorized digital version of Kernighan and Ritchie's 1988 classic, The C Programming Language (2nd Ed.). One of the best-selling programming books published in the last fifty years, "K&R" has been called everything from the "bible" to "a landmark in computer science" and it has influenced generations of programmers. Available now for all leading ebook platforms, this concise and beautifully written text is a "must-have" reference for every serious programmers digital library. As modestly described by the authors in the Preface to the First Edition, this "is not an introductory programming manual; it assumes some familiarity with basic programming concepts like variables, assignment statements, loops, and functions. Nonetheless, a novice programmer should be able to read along and pick up the language, although access to a more knowledgeable colleague will help."

Tools and Algorithms for the Construction and Analysis of Systems. Proc. TACAS 2009

Abstract: ing WS1S Systems to Verify Parameterized Networks . . . . . . . . . . . . 188 Kai Baukus, Saddek Bensalem, Yassine Lakhnech and Karsten Stahl FMona: A Tool for Expressing Validation Techniques over Infinite State Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 J.-P. Bodeveix and M. Filali Transitive Closures of Regular Relations for Verifying Infinite-State Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 Bengt Jonsson and Marcus Nilsson Diagnostic and Test Generation Using Static Analysis to Improve Automatic Test Generation . . . . . . . . . . . . . 235 Marius Bozga, Jean-Claude Fernandez and Lucian Ghirvu Efficient Diagnostic Generation for Boolean Equation Systems . . . . . . . . . . . . 251 Radu Mateescu Efficient Model-Checking Compositional State Space Generation with Partial Order Reductions for Asynchronous Communicating Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266 Jean-Pierre Krimm and Laurent Mounier Checking for CFFD-Preorder with Tester Processes . . . . . . . . . . . . . . . . . . . . . . . 283 Juhana Helovuo and Antti Valmari Fair Bisimulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 Thomas A. Henzinger and Sriram K. Rajamani Integrating Low Level Symmetries into Reachability Analysis . . . . . . . . . . . . . 315 Karsten Schmidt Model-Checking Tools Model Checking Support for the ASM High-Level Language . . . . . . . . . . . . . . 331 Giuseppe Del Castillo and Kirsten Winter Table of

Logical foundations of object-oriented and frame-based languages

Abstract: We propose a novel formalism, called Frame Logic (abbr., F-logic), that accounts in a clean and declarative fashion for most of the structural aspects of object-oriented and frame-based languages. These features include object identity, complex objects, inheritance, polymorphic types, query methods, encapsulation, and others. In a sense, F-logic stands in the same relationship to the object-oriented paradigm as classical predicate calculus stands to relational programming. F-logic has a model-theoretic semantics and a sound and complete resolution-based proof theory. A small number of fundamental concepts that come from object-oriented programming have direct representation in F-logic; other, secondary aspects of this paradigm are easily modeled as well. The paper also discusses semantic issues pertaining to programming with a deductive object-oriented language based on a subset of F-logic.

Partial evaluation and automatic program generation

Abstract: Functions, types and expressions programming languages and their operational semantics compilation partial evaluation of a flow chart languages partial evaluation of a first-order functional languages the view from Olympus partial evaluation of the Lambda calculus partial evaluation of prolog aspects of Similix - a partial evaluator for a subset of scheme partial evaluation of C applications of partial evaluation termination of partial evaluation program analysis more general program transformation guide to the literature the self-applicable scheme specializer.