Bloodhound: Searching Out Malicious Input in Network Flows for Automatic Repair Validation

Many current systems security research efforts focus on mechanisms for Intrusion Prevention and Self-Healing Software. Unfortunately, such systems find it difficult to gain traction in many deployment scenarios. For self-healing techniques to be realistically employed, system owners and administrators must have enough confidence in the quality of a generated fix that they are willing to allow its automatic deployment. In order to increase the level of confidence in these systems, the efficacy of a 'fix' must be tested and validated after it has been automatically developed, but before it is actually deployed. Due to the nature of attacks, such verification must proceed automatically. We call this problem Automatic Repair Validation (ARV). As a way to illustrate the difficulties faced by ARV, we propose the design of a system, Bloodhound, that tracks and stores malicious network flows for later replay in the validation phase for self-healing softwar

Bloodhound: Searching Out Malicious Input in Network Flows for Automatic Repair Validation

Many current systems security research efforts focus on mechanisms for Intrusion Prevention and Self-Healing Software. Unfortunately, such systems find it difficult to gain traction in many deployment scenarios. For self-healing techniques to be realistically employed, system owners and administrators must have enough confidence in the quality of a generated fix that they are willing to allow its automatic deployment. In order to increase the level of confidence in these systems, the efficacy of a 'fix' must be tested and validated after it has been automatically developed, but before it is actually deployed. Due to the nature of attacks, such verification must proceed automatically. We call this problem Automatic Repair Validation (ARV). As a way to illustrate the difficulties faced by ARV, we propose the design of a system, Bloodhound, that tracks and stores malicious network flows for later replay in the validation phase for self-healing softwar

A Systematic Literature Review in Cross-browser Testing

Many users access web pages from different browsers looking for the same user experience in all of them. However, there are several causes that produce compatibility issues. Those defects affect functionalities and user interface components. In this paper we present a systematic literature review which aims to find and summarize existing techniques, tools and challenges related to crossbrowser testing. According to the results, the most used technique is the visual analysis. However, there are still challenges to face. The most important challenge is the identification of dynamic components in the user interface. Cross-browser compatibility topics are getting importance according to an increment in published articles. Nevertheless, there are techniques that are not completely developed yet and do not fully support test automation practices.Facultad de Informátic

A Systematic Literature Review in Cross-browser Testing

Many users access web pages from different browsers looking for the same user experience in all of them. However, there are several causes that produce compatibility issues. Those defects affect functionalities and user interface components. In this paper we present a systematic literature review which aims to find and summarize existing techniques, tools and challenges related to crossbrowser testing. According to the results, the most used technique is the visual analysis. However, there are still challenges to face. The most important challenge is the identification of dynamic components in the user interface. Cross-browser compatibility topics are getting importance according to an increment in published articles. Nevertheless, there are techniques that are not completely developed yet and do not fully support test automation practices.Facultad de Informátic

A Systematic Literature Review in Cross-browser Testing

Many users access web pages from different browsers looking for the same user experience in all of them. However, there are several causes that produce compatibility issues. Those defects affect functionalities and user interface components. In this paper we present a systematic literature review which aims to find and summarize existing techniques, tools and challenges related to crossbrowser testing. According to the results, the most used technique is the visual analysis. However, there are still challenges to face. The most important challenge is the identification of dynamic components in the user interface. Cross-browser compatibility topics are getting importance according to an increment in published articles. Nevertheless, there are techniques that are not completely developed yet and do not fully support test automation practices.Facultad de Informátic