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Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 7th International Co Christian Kreibich,Marko Jahnke Conference proceedi

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Why Johnny Can’t Pentest: An Analysis of Black-Box Web Vulnerability ScannersThese tests are integrated in a realistic web application. The results of the evaluation show that crawling is a task that is as critical and challenging to the overall ability to detect vulnerabilities as the vulnerability detection techniques themselves, and that many classes of vulnerabilities ar
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Organizing Large Scale Hacking Competitionsbe these two new competition designs, the challenges overcome, and the lessons learned, with the goal of providing useful guidelines to other educators who want to pursue the organization of similar events.
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An Online Adaptive Approach to Alert Correlation-the-fly providing network administrator with the current network view and predicting the next potential steps of the attacker. Our approach is illustrated using both the well known DARPA 2000 data set and the live traffic data collected from a Honeynet network.
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HProxy: Client-Side Detection of SSL Stripping Attacks website and all future connections to that site are validated against it. We show that SSL stripping attacks can be prevented with acceptable overhead and without support from web servers or trusted third parties.
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Conqueror: Tamper-Proof Code Execution on Legacy Systemscheme. Our evaluation showed that, compared to competitors, Conqueror is resistant to static and dynamic attacks and that our scheme represents an important building block for realizing new security systems.
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KIDS – Keyed Intrusion Detection Systemerefore model of normal payload is secret although detection method is public. This prevents mimicry attacks. Payload is partitioned into words. Words are defined by delimiters. Set of delimiters plays a role of a key. Proposed design is implemented and tested. Testing with HTTP traffic confirmed the same detection capabilities for different keys.
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Checkliste: Das 3 x 4 der StresskompetenzWindows device drivers. .Anubis can automatically provide a high-level, human-readable report of a driver’s behavior on the system. We applied our system to a dataset of over 400 malware samples. The results of this analysis shed some light on the behavior of kernel-level malicious code that is in the wild today.
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