974 resultados para Software Security


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Elektroninen kaupankäynti ja pankkipalvelut ovat herättäneet toiminnan jatkuvuuden kannalta erittäin kriittisen kysymyksen siitä, kuinka näitä palveluja pystytään suojaamaan järjestäytynyttä rikollisuutta ja erilaisia hyväksikäyttöjä vastaan.

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Increase of computational power and emergence of new computer technologies led to popularity of local communications between personal trusted devices. By-turn, it led to emergence of security problems related to user data utilized in such communications. One of the main aspects of the data security assurance is security of software operating on mobile devices. The aim of this work was to analyze security threats to PeerHood, software intended for performing personal communications between mobile devices regardless of underlying network technologies. To reach this goal, risk-based software security testing was performed. The results of the testing showed that the project has several security vulnerabilities. So PeerHood cannot be considered as a secure software. The analysis made in the work is the first step towards the further implementation of PeerHood security mechanisms, as well as taking into account security in the development process of this project.

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The vast majority of our contemporary society owns a mobile phone, which has resulted in a dramatic rise in the amount of networked computers in recent years. Security issues in the computers have followed the same trend and nearly everyone is now affected by such issues. How could the situation be improved? For software engineers, an obvious answer is to build computer software with security in mind. A problem with building software with security is how to define secure software or how to measure security. This thesis divides the problem into three research questions. First, how can we measure the security of software? Second, what types of tools are available for measuring security? And finally, what do these tools reveal about the security of software? Measuring tools of these kind are commonly called metrics. This thesis is focused on the perspective of software engineers in the software design phase. Focus on the design phase means that code level semantics or programming language specifics are not discussed in this work. Organizational policy, management issues or software development process are also out of the scope. The first two research problems were studied using a literature review while the third was studied using a case study research. The target of the case study was a Java based email server called Apache James, which had details from its changelog and security issues available and the source code was accessible. The research revealed that there is a consensus in the terminology on software security. Security verification activities are commonly divided into evaluation and assurance. The focus of this work was in assurance, which means to verify one’s own work. There are 34 metrics available for security measurements, of which five are evaluation metrics and 29 are assurance metrics. We found, however, that the general quality of these metrics was not good. Only three metrics in the design category passed the inspection criteria and could be used in the case study. The metrics claim to give quantitative information on the security of the software, but in practice they were limited to evaluating different versions of the same software. Apart from being relative, the metrics were unable to detect security issues or point out problems in the design. Furthermore, interpreting the metrics’ results was difficult. In conclusion, the general state of the software security metrics leaves a lot to be desired. The metrics studied had both theoretical and practical issues, and are not suitable for daily engineering workflows. The metrics studied provided a basis for further research, since they pointed out areas where the security metrics were necessary to improve whether verification of security from the design was desired.

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Security defects are common in large software systems because of their size and complexity. Although efficient development processes, testing, and maintenance policies are applied to software systems, there are still a large number of vulnerabilities that can remain, despite these measures. Some vulnerabilities stay in a system from one release to the next one because they cannot be easily reproduced through testing. These vulnerabilities endanger the security of the systems. We propose vulnerability classification and prediction frameworks based on vulnerability reproducibility. The frameworks are effective to identify the types and locations of vulnerabilities in the earlier stage, and improve the security of software in the next versions (referred to as releases). We expand an existing concept of software bug classification to vulnerability classification (easily reproducible and hard to reproduce) to develop a classification framework for differentiating between these vulnerabilities based on code fixes and textual reports. We then investigate the potential correlations between the vulnerability categories and the classical software metrics and some other runtime environmental factors of reproducibility to develop a vulnerability prediction framework. The classification and prediction frameworks help developers adopt corresponding mitigation or elimination actions and develop appropriate test cases. Also, the vulnerability prediction framework is of great help for security experts focus their effort on the top-ranked vulnerability-prone files. As a result, the frameworks decrease the number of attacks that exploit security vulnerabilities in the next versions of the software. To build the classification and prediction frameworks, different machine learning techniques (C4.5 Decision Tree, Random Forest, Logistic Regression, and Naive Bayes) are employed. The effectiveness of the proposed frameworks is assessed based on collected software security defects of Mozilla Firefox.

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This work aims to give greater visibility to the issue of software security, due to people talk a lot in security conferences, that much of both IT (Information Technology) staff and, more specifically, IS (Information Security) staff does not know this, and, thanks to the spread of the mobile computing and of the cloud computing, this lack of deeper knowledge on this subject is increasingly becoming worrisome. It aims too, make applications to be developed in a security manner, priorizing the security of the information processed. It attempts to demonstrate the secure coding techniques, the principles of software security, the means to identify software vulnerabilities, the cutting-edge software exploitation techniques and the mechanisms of mitigation. Nowadays, the security guys are in charge of the most of the security tests in applications, audits and pentests, and it is undeniable that the so-called security experts, most often come from computer network field, having few experience in software development and programming. Therefore, the development process does not consider the security issue, thanks to the lack of knowledge on the subject by the developer, and the security tests could be improved whether security experts had a greater know-how on application development. Given this problem, the goal here is to integrate information security with software development, spreading out the process of secure software development. To achieve this, a Linux distribution with proof of concept applicati... (Complete abstract click electronic access below)

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El presente Trabajo de Fin de Grado (TFG) es el resultado de la necesidad de la seguridad en la construcción del software ya que es uno de los mayores problemas con que se enfrenta hoy la industria debido a la baja calidad de la misma tanto en software de Sistema Operativo, como empotrado y de aplicaciones. La creciente dependencia de software para que se hagan trabajos críticos significa que el valor del software ya no reside únicamente en su capacidad para mejorar o mantener la productividad y la eficiencia. En lugar de ello, su valor también se deriva de su capacidad para continuar operando de forma fiable incluso de cara de los eventos que la amenazan. La capacidad de confiar en que el software seguirá siendo fiable en cualquier circunstancia, con un nivel de confianza justificada, es el objetivo de la seguridad del software. Seguridad del software es importante porque muchas funciones críticas son completamente dependientes del software. Esto hace que el software sea un objetivo de valor muy alto para los atacantes, cuyos motivos pueden ser maliciosos, penales, contenciosos, competitivos, o de naturaleza terrorista. Existen fuentes muy importantes de mejores prácticas, métodos y herramientas para mejorar desde los requisitos en sus aspectos no funcionales, ciclo de vida del software seguro, pasando por la dirección de proyectos hasta su desarrollo, pruebas y despliegue que debe ser tenido en cuenta por los desarrolladores. Este trabajo se centra fundamentalmente en elaborar una guía de mejores prácticas con la información existente CERT, CMMI, Mitre, Cigital, HP, y otras fuentes. También se plantea desarrollar un caso práctico sobre una aplicación dinámica o estática con el fin de explotar sus vulnerabilidades.---ABSTRACT---This Final Project Grade (TFG) is the result of the need for security in software construction as it is one of the biggest problems facing the industry today due to the low quality of it both OS software, embedded software and applications software. The increasing reliance on software for critical jobs means that the value of the software no longer resides solely in its capacity to improve or maintain productivity and efficiency. Instead, its value also stems from its ability to continue to operate reliably even when facing events that threaten it. The ability to trust that the software will remain reliable in all circumstances, with justified confidence level is the goal of software security. The security in software is important because many critical functions are completely dependent of the software. This makes the software to be a very high value target for attackers, whose motives may be by a malicious, by crime, for litigating, by competitiveness or by a terrorist nature. There are very important sources of best practices, methods and tools to improve the requirements in their non-functional aspects, the software life cycle with security in mind, from project management to its phases (development, testing and deployment) which should be taken into account by the developers. This paper focuses primarily on developing a best practice guide with existing information from CERT, CMMI, Mitre, Cigital, HP, and other organizations. It also aims to develop a case study on a dynamic or static application in order to exploit their vulnerabilities.

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In today's internet world, web browsers are an integral part of our day-to-day activities. Therefore, web browser security is a serious concern for all of us. Browsers can be breached in different ways. Because of the over privileged access, extensions are responsible for many security issues. Browser vendors try to keep safe extensions in their official extension galleries. However, their security control measures are not always effective and adequate. The distribution of unsafe extensions through different social engineering techniques is also a very common practice. Therefore, before installation, users should thoroughly analyze the security of browser extensions. Extensions are not only available for desktop browsers, but many mobile browsers, for example, Firefox for Android and UC browser for Android, are also furnished with extension features. Mobile devices have various resource constraints in terms of computational capabilities, power, network bandwidth, etc. Hence, conventional extension security analysis techniques cannot be efficiently used by end users to examine mobile browser extension security issues. To overcome the inadequacies of the existing approaches, we propose CLOUBEX, a CLOUd-based security analysis framework for both desktop and mobile Browser EXtensions. This framework uses a client-server architecture model. In this framework, compute-intensive security analysis tasks are generally executed in a high-speed computing server hosted in a cloud environment. CLOUBEX is also enriched with a number of essential features, such as client-side analysis, requirements-driven analysis, high performance, and dynamic decision making. At present, the Firefox extension ecosystem is most susceptible to different security attacks. Hence, the framework is implemented for the security analysis of the Firefox desktop and Firefox for Android mobile browser extensions. A static taint analysis is used to identify malicious information flows in the Firefox extensions. In CLOUBEX, there are three analysis modes. A dynamic decision making algorithm assists us to select the best option based on some important parameters, such as the processing speed of a client device and network connection speed. Using the best analysis mode, performance and power consumption are improved significantly. In the future, this framework can be leveraged for the security analysis of other desktop and mobile browser extensions, too.

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This paper investigates the link between brand performance and cultural primes in high-risk,innovation-based sectors. In theory section, we propose that the level of cultural uncertaintyavoidance embedded in a firm determine its marketing creativity by increasing the complexityand the broadness of a brand. It determines also the rate of firm product innovations.Marketing creativity and product innovation influence finally the firm marketingperformance. Empirically, we study trademarked promotion in the Software Security Industry(SSI). Our sample consists of 87 firms that are active in SSI from 11 countries in the period1993-2000. We use the data coming from SSI-related trademarks registered by these firms,ending up with 2,911 SSI-related trademarks and a panel of 18,213 observations. We estimatea two stage model in which first we predict the complexity and the broadness of a trademarkas a measure of marketing creativity and the rate of product innovations. Among severalcontrol variables, our variable of theoretical interest is the Hofstede s uncertainty avoidancecultural index. Then, we estimate the trademark duration with a hazard model using thepredicted complexity and broadness as well as the rate of product innovations, along with thesame control variables. Our evidence confirms that the cultural avoidance affects the durationof the trademarks through the firm marketing creativity and product innovation.

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Tietoturva on yksi yrityksen tärkeimpiä turvallisuuteen liittyviä asioita. Tietoturva voidaan jakaa kahdeksaan eri osa-alueeseen: hallinnolliseen turvallisuuteen, henkilöstöturvallisuuteen, tietoaineistoturvallisuuteen, käyttöturvallisuuteen, fyysiseen turvallisuuteen, laitteistoturvallisuuteen, ohjelmistoturvallisuuteen ja tietoliikenneturvallisuuteen. Yrityksen tulisi huomioida jokainen osa-alue, jotta sen tietoturva olisi mahdollisimman hyvä. Jos jokin osa-alue on jätetty vähemmälle huomiolle, se heijastuu heti yrityksen kokonaisturvallisuuteen. Tämä työ selvittää, mitä asioita yrityksen tulisi ottaa huomioon, jotta sen tietoturva olisi kunnossa. Työn tarkoituksena on kartoittaa, millaista osaamista työelämä kaipaa tietoturvan varalle Pohjois-Karjalan alueella. Työ keskittyy yritysten tietoturva-asioihin johdon ja organisoinnin näkökulmasta. Tutkimusosuudessa esitellään selvitys, millainen on tietoturvan tila pohjoiskarjalaisissa yrityksissä. Tutkimus toteutettiin kvantitatiivisena kyselytutkimuksena. Tutkimukseen vastasi 32 yritystä Pohjois-Karjalan alueelta. Tutkimus osoittaa, että yritykset ovat huomioineet parhaiten ohjelmistoturvallisuuden ja laitteistoturvallisuuden, mutta parannusta kaipaisivat etenkin hallinnollinen turvallisuus ja henkilöstöturvallisuus. Yritysten tietoturva on tasoltaan yhtä hyvä kuin on sen heikoin lenkki. Tästä syystä voidaan sanoa, että yritysten tieto-turvan tila ei ole Pohjois-Karjalassa kovinkaan hyvä.

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Authentication plays an important role in how we interact with computers, mobile devices, the web, etc. The idea of authentication is to uniquely identify a user before granting access to system privileges. For example, in recent years more corporate information and applications have been accessible via the Internet and Intranet. Many employees are working from remote locations and need access to secure corporate files. During this time, it is possible for malicious or unauthorized users to gain access to the system. For this reason, it is logical to have some mechanism in place to detect whether the logged-in user is the same user in control of the user's session. Therefore, highly secure authentication methods must be used. We posit that each of us is unique in our use of computer systems. It is this uniqueness that is leveraged to "continuously authenticate users" while they use web software. To monitor user behavior, n-gram models are used to capture user interactions with web-based software. This statistical language model essentially captures sequences and sub-sequences of user actions, their orderings, and temporal relationships that make them unique by providing a model of how each user typically behaves. Users are then continuously monitored during software operations. Large deviations from "normal behavior" can possibly indicate malicious or unintended behavior. This approach is implemented in a system called Intruder Detector (ID) that models user actions as embodied in web logs generated in response to a user's actions. User identification through web logs is cost-effective and non-intrusive. We perform experiments on a large fielded system with web logs of approximately 4000 users. For these experiments, we use two classification techniques; binary and multi-class classification. We evaluate model-specific differences of user behavior based on coarse-grain (i.e., role) and fine-grain (i.e., individual) analysis. A specific set of metrics are used to provide valuable insight into how each model performs. Intruder Detector achieves accurate results when identifying legitimate users and user types. This tool is also able to detect outliers in role-based user behavior with optimal performance. In addition to web applications, this continuous monitoring technique can be used with other user-based systems such as mobile devices and the analysis of network traffic.

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The use of open source software continues to grow on a daily basis. Today, enterprise applications contain 40% to 70% open source code and this fact has legal, development, IT security, risk management and compliance organizations focusing their attention on its use, as never before. They increasingly understand that the open source content within an application must be detected. Once uncovered, decisions regarding compliance with intellectual property licensing obligations must be made and known security vulnerabilities must be remediated. It is no longer sufficient from a risk perspective to not address both open source issues.

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The main requirements to DRM platforms implementing effective user experience and strong security measures to prevent unauthorized use of content are discussed. Comparison of hardware-based and software- based platforms is made showing the general inherent advantages of hardware DRM solutions. Analysis and evaluation of the main flaws of hardware platforms are conducted, pointing out the possibilities to overcome them. The overview of the existing concepts for practical realization of hardware DRM protection reveals their advantages and disadvantages and the increasing demand for creation of multi-core architecture, which could assure an effective DRM protection without decreasing the user’s freedom and importing risks for end system security.