15,150 research outputs found

    Redocumentation through design pattern recovery:: an investigation and an implementation

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    In this thesis, two methods are developed in an aid to help users capture valuable design information and knowledge and reuse them. They are the design pattern recovery (DPR) method and pattern-based redocumentation (PBR) method. The DPR method is for matching up metrics of patterns with patterns themselves in order to capture valuable design information. Patterns are used as a container for storing the information. Two new metrics, i.e., p-value and s-value are introduced. They are obtained by analysing product metrics statistically. Once patterns have been detected from a system, the system can be redocumented using these patterns. Some existing XML (extensible Markup Language) technologies are utilised in order to realise the PRB method. Next, a case study is carried out to validate the soundness and usefulness of the DPR method. Finally, some conclusions drawn from this research are summarised, and further work is suggested for the researchers in software engineering

    Software Metrics for Package Remodularisation

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    There is a plethora of software metrics \cite{Lore94a, Fent96a, Hend96a, Han00a, Lanz06a} and a large amount of research articles. Still there is a lack for a serious and practically-oriented evaluation of metrics. Often metrics lack the property that the software reengineer or quality expert can easily understand the situation summarized by the metrics. In particular, since the exact notion of coupling and cohesion is complex, a particular focus on such point is important. In the first chapter of the present document, we present a list of software metrics, that are commonly used to measure object-oriented programs. In the second chapter we present our proposition for package metrics that capture package aspects such as information hiding and change impact limits

    Understanding and Identifying Vulnerabilities Related to Architectural Security Tactics

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    To engineer secure software systems, software architects elicit the system\u27s security requirements to adopt suitable architectural solutions. They often make use of architectural security tactics when designing the system\u27s security architecture. Security tactics are reusable solutions to detect, resist, recover from, and react to attacks. Since security tactics are the building blocks of a security architecture, flaws in the adoption of these tactics, their incorrect implementation, or their deterioration during software maintenance activities can lead to vulnerabilities, which we refer to as tactical vulnerabilities . Although security tactics and their correct adoption/implementation are crucial elements to achieve security, prior works have not investigated the architectural context of vulnerabilities. Therefore, this dissertation presents a research work whose major goals are: (i) to identify common types of tactical vulnerabilities, (ii) to investigate tactical vulnerabilities through in-depth empirical studies, and (iii) to develop a technique that detects tactical vulnerabilities caused by object deserialization. First, we introduce the Common Architectural Weakness Enumeration (CAWE), which is a catalog that enumerates 223 tactical vulnerability types. Second, we use this catalog to conduct an empirical study using vulnerability reports from large-scale open-source systems. Among our findings, we observe that Improper Input Validation was the most reoccurring vulnerability type. This tactical vulnerability type is caused by not properly implementing the Validate Inputs tactic. Although prior research focused on devising automated (or semi-automated) techniques for detecting multiple instances of improper input validation (e.g., SQL Injection and Cross-Site Scripting) one of them got neglected, which is the untrusted deserialization of objects. Unlike other input validation problems, object deserialization vulnerabilities exhibit a set of characteristics that are hard to handle for effective vulnerability detection. We currently lack a robust approach that can detect untrusted deserialization problems. Hence, this dissertation introduces DODO untrusteD ObjectDeserialization detectOr), a novel program analysis technique to detect deserialization vulnerabilities. DODO encompasses a sound static analysis of the program to extract potentially vulnerable paths, an exploit generation engine, and a dynamic analysis engine to verify the existence of untrusted object deserialization. Our experiments showed that DODO can successfully infer possible vulnerabilities that could arise at runtime during object deserialization

    An accurate prefetching policy for object oriented systems

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    PhD ThesisIn the latest high-performance computers, there is a growing requirement for accurate prefetching(AP) methodologies for advanced object management schemes in virtual memory and migration systems. The major issue for achieving this goal is that of finding a simple way of accurately predicting the objects that will be referenced in the near future and to group them so as to allow them to be fetched same time. The basic notion of AP involves building a relationship for logically grouping related objects and prefetching them, rather than using their physical grouping and it relies on demand fetching such as is done in existing restructuring or grouping schemes. By this, AP tries to overcome some of the shortcomings posed by physical grouping methods. Prefetching also makes use of the properties of object oriented languages to build inter and intra object relationships as a means of logical grouping. This thesis describes how this relationship can be established at compile time and how it can be used for accurate object prefetching in virtual memory systems. In addition, AP performs control flow and data dependency analysis to reinforce the relationships and to find the dependencies of a program. The user program is decomposed into prefetching blocks which contain all the information needed for block prefetching such as long branches and function calls at major branch points. The proposed prefetching scheme is implemented by extending a C++ compiler and evaluated on a virtual memory simulator. The results show a significant reduction both in the number of page fault and memory pollution. In particular, AP can suppress many page faults that occur during transition phases which are unmanageable by other ways of fetching. AP can be applied to a local and distributed virtual memory system so as to reduce the fault rate by fetching groups of objects at the same time and consequently lessening operating system overheads.British Counci

    Improved Architectures for Secure Intra-process Isolation

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    Intra-process memory isolation can improve security by enforcing least-privilege at a finer granularity than traditional operating system controls without the context-switch overhead associated with inter-process communication. Because the process has traditionally been a fundamental security boundary, assigning different levels of trust to components within a process is a fundamental change in secure systems design. However, so far there has been little research on the challenges of securely implementing intra-process isolation on top of existing operating system abstractions. We find that frequently-used assumptions in secure system design do not precisely hold under realistic conditions, and that these discrepancies lead to exploitable vulnerabilities. We evaluate two recently-proposed memory isolation systems and show that both are vulnerable to the same generic attacks that break their security model. We then extend a subset of these attacks by applying them to a fully-precise model of control-flow integrity, demonstrating a data-only attack that bypasses both static and dynamic control-flow integrity enforcement by overwriting executable code in-memory even under typical w^x assumptions. From these two results, we propose a set of kernel modifications called Xlock that systemically addresses weaknesses in memory permissions enforcement on Linux, bringing them into line with w^x assumptions. Finally, we present modifications to intra-process isolation systems that preserve efficient userspace component transitions while drastically reducing risk of accidental kernel mismanagement by modeling intra-process components as separate processes from the kernel\u27s perspective. Taken together, these mitigations represent a more robust architecture for efficient and secure intra-process isolation

    Static analysis for facilitating secure and reliable software

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    Software security and reliability are aspects of major concern for software development enterprises that wish to deliver dependable software to their customers. Several static analysis-based approaches for facilitating the development of secure and reliable software have been proposed over the years. The purpose of the present thesis is to investigate these approaches and to extend their state of the art by addressing existing open issues that have not been sufficiently addressed yet. To this end, an empirical study was initially conducted with the purpose to investigate the ability of software metrics (e.g., complexity metrics) to discriminate between different types of vulnerabilities, and to examine whether potential interdependencies exist between different vulnerability types. The results of the analysis revealed that software metrics can be used only as weak indicators of specific security issues, while important interdependencies may exist between different types of vulnerabilities. The study also verified the capacity of software metrics (including previously uninvestigated metrics) to indicate the existence of vulnerabilities in general. Subsequently, a hierarchical security assessment model able to quantify the internal security level of software products, based on static analysis alerts and software metrics is proposed. The model is practical, since it is fully-automated and operationalized in the form of individual tools, while it is also sufficiently reliable since it was built based on data and well-accepted sources of information. An extensive evaluation of the model on a large volume of empirical data revealed that it is able to reliably assess software security both at product- and at class-level of granularity, with sufficient discretion power, while it may be also used for vulnerability prediction. The experimental results also provide further support regarding the ability of static analysis alerts and software metrics to indicate the existence of software vulnerabilities. Finally, a mathematical model for calculating the optimum checkpoint interval, i.e., the checkpoint interval that minimizes the execution time of software programs that adopt the application-level checkpoint and restart (ALCR) mechanism was proposed. The optimum checkpoint interval was found to depend on the failure rate of the application, the execution cost for establishing a checkpoint, and the execution cost for restarting a program after failure. Emphasis was given on programs with loops, while the results were illustrated through several numerical examples.Open Acces

    Static Analysis for Extracting Permission Checks of a Large Scale Framework: The Challenges And Solutions for Analyzing Android

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    A common security architecture is based on the protection of certain resources by permission checks (used e.g., in Android and Blackberry). It has some limitations, for instance, when applications are granted more permissions than they actually need, which facilitates all kinds of malicious usage (e.g., through code injection). The analysis of permission-based framework requires a precise mapping between API methods of the framework and the permissions they require. In this paper, we show that naive static analysis fails miserably when applied with off-the-shelf components on the Android framework. We then present an advanced class-hierarchy and field-sensitive set of analyses to extract this mapping. Those static analyses are capable of analyzing the Android framework. They use novel domain specific optimizations dedicated to Android.Comment: IEEE Transactions on Software Engineering (2014). arXiv admin note: substantial text overlap with arXiv:1206.582
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