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A methodology for empirical analysis of permission-based security models and its application to android
TLDR
This work presents a methodology for the empirical analysis of permission-based security models which makes novel use of the Self-Organizing Map (SOM) algorithm of Kohonen (2001) and offers some discussion identifying potential points of improvement for the Android permission model.
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Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99
TLDR
To substantiate the performance of machine learning based detectors that are trained on KDD 99 training data, the relevance of each feature is investigated and information gain is employed to determine the most discriminating features for each class.
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Data Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors
TLDR
A lightweight, and temporally and spatially aware user behaviour modelling technique for sensor-based authentication that automatically switches from training mode to deployment mode when the user's behaviour is sufficiently learned and allows the device to automatically determine a suitable detection threshold.
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Intrusion Detection Systems
Along with its numerous benefits, the Internet also created numerous ways to compromise the security and stability of the systems connected to it. In 2003, 137529 incidents were reported to CERT/CC ©…
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A hierarchical SOM-based intrusion detection system
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On evolving buffer overflow attacks using genetic programming
TLDR
This work employed genetic programming to evolve a "white hat" attacker; that is to say, variants of an attack are evolved with the objective of providing better detectors and evading detection by signature-based methods.
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Why aren't Users Using Protection? Investigating the Usability of Smartphone Locking
TLDR
Designers of smartphone locking mechanisms should consider ceding a reasonable level of control over security settings to users to increase adoption and convenience, while keeping smartphones reasonably secure.
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Using self-organizing maps to build an attack map for forensic analysis
TLDR
Developing behavioral models of known attacks to help security experts to identify the similarities between attacks and these attack behavior models can be used to analyze zero-day attacks, which security experts have limited knowledge of.
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Automatically Evading IDS Using GP Authored Attacks
TLDR
This work provides a genetic programming based automated process for designing all components of a mimicry attack relative to the Stide detector under a vulnerable Traceroute application, and results indicate that the automatic process is able to generate mimicry attacks that reduce the alarm rate.
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Understanding Data Leak Prevention
TLDR
The idea that, while intrusion detection techniques may be appl icable to many aspects of the data leak prevention problem, the problem is distinct enough that it requires its own solutions is explored.
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