388,421 research outputs found

    Web development evolution: the assimilation of web engineering security

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    In today’s e-commerce environment, information is an incredibly valuable asset. Surveys indicate that companies are suffering staggering financial losses due to web security issues. Analyzing the underlying causes of these security breaches shows that a significant proportion of them are caused by straightforward design errors in systems and not by failures in security mechanisms. There is significant research into security mechanisms but there is little research into the integration of these into software design processes, even those processes specifically designed for Web Engineering. Security should be designed into the application development process upfront through an independent flexible methodology that contains customizable components

    Web development evolution: the assimilation of web engineering security

    Get PDF
    In today’s e-commerce environment, information is an incredibly valuable asset. Surveys indicate that companies are suffering staggering financial losses due to web security issues. Analyzing the underlying causes of these security breaches shows that a significant proportion of them are caused by straightforward design errors in systems and not by failures in security mechanisms. There is significant research into security mechanisms but there is little research into the integration of these into software design processes, even those processes specifically designed for Web Engineering. Security should be designed into the application development process upfront through an independent flexible methodology that contains customizable components

    Secure software engineering: A new teaching perspective based on the SWEBOK

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    Lack of a suitable set of controls during the development life cycle of software will lead to mistakes in the requirements, design, or code of software and, therefore, result in significant security vulnerabilities. This paper proposes a software engineering course from the security perspective, which can be taught at both the undergraduate and graduate levels. It will prepare students to successfully cope with the technical challenges as well as the non technical issues associated with the software development process, while integrating security into each phase of the process. The course materials are derived from the Guide to the Software Engineering Body of Knowledge (SWEBOK) published by the IEEE Computer Society with the support of a consortium of industrial sponsors

    An overview to Software Architecture in Intrusion Detection System

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    Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network. The IDS could detect and block attack-related network traffic. The network control is a complex model. Implementation of an IDS could make delay in the network. Several software-based network intrusion detection systems are developed. However, the model has a problem with high speed traffic. This paper reviews of many type of software architecture in intrusion detection systems and describes the design and implementation of a high-performance network intrusion detection system that combines the use of software-based network intrusion detection sensors and a network processor board. The network processor which is a hardware-based model could acts as a customized load balancing splitter. This model cooperates with a set of modified content-based network intrusion detection sensors rather than IDS in processing network traffic and controls the high-speed.Comment: 8 Pages, International Journal of Soft Computing and Software Engineering [JSCSE]. arXiv admin note: text overlap with arXiv:1101.0241 by other author

    ConfIs: a tool for privacy and security analysis and conflict resolution for supporting GDPR compliance through privacy-by-design.

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    Privacy and security requirements, and their potential conflicts, are increasingly having more and more importance. It is becoming a necessary part to be considered, starting from the very early stages of requirements engineering, and in the entire software engineering cycle, for the design of any software system. In the last few years, this has been even more emphasized and required by the law. A relevant example is the case of the General Data Protection Regulation (GDPR), which requires organizations, and their software engineers, to enforce and guarantee privacy-by-design to make their platforms compliant with the regulation. In this context, complex activities related to privacy and security requirements elicitation, analysis, mapping and identification of potential conflicts, and the individuation of their resolution, become crucial. In the literature, there is not available a comprehensive requirement engineering oriented tool for supporting the requirements analyst. In this paper, we propose ConfIs, a tool for supporting the analyst in performing a process covering these phases in a systematic and interactive way. We present ConfIs and its process with a realistic example from DEFeND, an EU project aiming at supporting organizations in achieving GDPR compliance. In this context, we evaluated ConfIs by involving privacy/security requirements experts, which recognized our tool and method as supportive, concerning these complex activities

    Data Mining and Machine Learning for Software Engineering

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    Software engineering is one of the most utilizable research areas for data mining. Developers have attempted to improve software quality by mining and analyzing software data. In any phase of software development life cycle (SDLC), while huge amount of data is produced, some design, security, or software problems may occur. In the early phases of software development, analyzing software data helps to handle these problems and lead to more accurate and timely delivery of software projects. Various data mining and machine learning studies have been conducted to deal with software engineering tasks such as defect prediction, effort estimation, etc. This study shows the open issues and presents related solutions and recommendations in software engineering, applying data mining and machine learning techniques

    Modularity for Security-Sensitive Workflows

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    An established trend in software engineering insists on using components (sometimes also called services or packages) to encapsulate a set of related functionalities or data. By defining interfaces specifying what functionalities they provide or use, components can be combined with others to form more complex components. In this way, IT systems can be designed by mostly re-using existing components and developing new ones to provide new functionalities. In this paper, we introduce a notion of component and a combination mechanism for an important class of software artifacts, called security-sensitive workflows. These are business processes in which execution constraints on the tasks are complemented with authorization constraints (e.g., Separation of Duty) and authorization policies (constraining which users can execute which tasks). We show how well-known workflow execution patterns can be simulated by our combination mechanism and how authorization constraints can also be imposed across components. Then, we demonstrate the usefulness of our notion of component by showing (i) the scalability of a technique for the synthesis of run-time monitors for security-sensitive workflows and (ii) the design of a plug-in for the re-use of workflows and related run-time monitors inside an editor for security-sensitive workflows
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