774 research outputs found
A B model for ensuring soundness of a large subset of the Java Card virtual machine
AbstractJava Cards are a new generation of smart cards that use the Java programming language. As smart cards are usually used to supply security to an information system, security requirements are very strong. The byte code interpreter and verifier are crucial components of such cards, and proving their safety can become a competitive advantage. Previous works have been done on methodology for proving the soundness of the byte code interpreter and verifier using the B method. It refines an abstract defensive interpreter into a byte code verifier and a byte code interpreter. However, this work had only been tested on a very small subset of the Java Card instruction set. This paper presents a work aiming at verifying the scalability of this previous work. The original instruction subset of about 10 instructions has been extended to a larger subset of more than one hundred instructions, and the additional cost of the proof has been managed by modifying the specification in order to group opcodes by properties
Formal Verification of Security Protocol Implementations: A Survey
Automated formal verification of security protocols has been mostly focused on analyzing high-level abstract models which, however, are significantly different from real protocol implementations written in programming languages. Recently, some researchers have started investigating techniques that bring automated formal proofs closer to real implementations. This paper surveys these attempts, focusing on approaches that target the application code that implements protocol logic, rather than the libraries that implement cryptography. According to these approaches, libraries are assumed to correctly implement some models. The aim is to derive formal proofs that, under this assumption, give assurance about the application code that implements the protocol logic. The two main approaches of model extraction and code generation are presented, along with the main techniques adopted for each approac
Conceptual evidence collection and analysis methodology for Android devices
Android devices continue to grow in popularity and capability meaning the
need for a forensically sound evidence collection methodology for these devices
also increases. This chapter proposes a methodology for evidence collection and
analysis for Android devices that is, as far as practical, device agnostic.
Android devices may contain a significant amount of evidential data that could
be essential to a forensic practitioner in their investigations. However, the
retrieval of this data requires that the practitioner understand and utilize
techniques to analyze information collected from the device. The major
contribution of this research is an in-depth evidence collection and analysis
methodology for forensic practitioners.Comment: in Cloud Security Ecosystem (Syngress, an Imprint of Elsevier), 201
Mechanized semantics
The goal of this lecture is to show how modern theorem provers---in this
case, the Coq proof assistant---can be used to mechanize the specification of
programming languages and their semantics, and to reason over individual
programs and over generic program transformations, as typically found in
compilers. The topics covered include: operational semantics (small-step,
big-step, definitional interpreters); a simple form of denotational semantics;
axiomatic semantics and Hoare logic; generation of verification conditions,
with application to program proof; compilation to virtual machine code and its
proof of correctness; an example of an optimizing program transformation (dead
code elimination) and its proof of correctness
A formally verified compiler back-end
This article describes the development and formal verification (proof of
semantic preservation) of a compiler back-end from Cminor (a simple imperative
intermediate language) to PowerPC assembly code, using the Coq proof assistant
both for programming the compiler and for proving its correctness. Such a
verified compiler is useful in the context of formal methods applied to the
certification of critical software: the verification of the compiler guarantees
that the safety properties proved on the source code hold for the executable
compiled code as well
Mobile Resource Guarantees for Smart Devices
Abstract. We present the Mobile Resource Guarantees framework: a system for ensuring that downloaded programs are free from run-time violations of resource bounds. Certificates are attached to code in the form of efficiently checkable proofs of resource bounds; in contrast to cryptographic certificates of code origin, these are independent of trust networks. A novel programming language with resource constraints encoded in function types is used to streamline the generation of proofs of resource usage.
IMPLEMENTING ELLIPTIC CURVE CRYPTOGRAPHY ON PC AND SMART CARD
Elliptic Curve Cryptography (ECC) is a relatively new branch of public key
cryptography. Its main advantage is that it can provide the same level of
security as RSA with significantly shorter keys, which is beneficial for a
smart card based implementation. It is also important as a possible alternative
of RSA. This paper presents the author´s research concerning ECC and smart
cards.
The authors introduce their ECC prototype implementation that relies on Java
Card technology and is capable of running on smart cards. Test results with
various cards are attached. It is also analyzed in what extent algorithms with
the complexity of ECC can be executed in smart card environment with limited
resources
Doctor of Philosophy
dissertationToday's smartphones house private and confidential data ubiquitously. Mobile apps running on the devices can leak sensitive information by accident or intentionally. To understand application behaviors before running a program, we need to statically analyze it, tracking what data are accessed, where sensitive data ow, and what operations are performed with the data. However, automated identification of malicious behaviors in Android apps is challenging: First, there is a primary challenge in analyzing object-oriented programs precisely, soundly and efficiently, especially in the presence of exceptions. Second, there is an Android-specific challenge|asynchronous execution of multiple entry points. Third, the maliciousness of any given behavior is application-dependent and subject to human judgment. In this work, I develop a generic, highly precise static analysis of object-oriented code with multiple entry points, on which I construct an eective malware identification system with a human in the loop. Specically, I develop a new analysis-pushdown exception-ow analysis, to generalize the analysis of normal control flows and exceptional flows in object-oriented programs. To rene points-to information, I generalize abstract garbage collection to object-oriented programs and enhance it with liveness analysis for even better precision. To tackle Android-specic challenges, I develop multientry point saturation to approximate the eect of arbitrary asynchronous events. To apply the analysis techniques to security, I develop a static taint- ow analysis to track and propagate tainted sensitive data in the push-down exception-flow framework. To accelerate the speed of static analysis, I develop a compact and ecient encoding scheme, called G odel hashes, and integrate it into the analysis framework. All the techniques are realized and evaluated in a system, named AnaDroid. AnaDroid is designed with a human in the loop to specify analysis conguration, properties of interest and then to make the nal judgment and identify where the maliciousness is, based on analysis results. The analysis results include control- ow graphs highlighting suspiciousness, permission and risk-ranking reports. The experiments show that AnaDroid can lead to precise and fast identication of common classes of Android malware
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