Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"signature-based detection"”.
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Developing a next-generation Mobile Security solution for Android
… growth of malware given, there is a need for new detection models designed to specifically target Android malware in order to better protect the end-users and, eventually, to counter the rise of Android malware itself. We strongly believe that, before starting to address a problem, we firstly need …
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Embedded monitors for detecting and preventing intrusions in cryptographic and application protocols.
There are two main approaches for intrusion detection: signature-based and anomaly-based. Signature-based detection employs pattern matching to match attack signatures with observed data making it ideal for detecting known attacks. However, it cannot detect unknown attacks for which there is no …
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On Transferability of Adversarial Examples on Machine-Learning-Based Malware Classifiers
The use of Machine Learning for malware detection is essential to counter the massive growth in malware types compared with the traditional signature-based detection system. However, machine learning models could also be extremely vulnerable and sensible to transferable adversarial example (AE) …
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Behaviour-based Virus Analysis and Detection
… for this is that these products typically use signature-based detection, so that the rapid growth in the number of viruses means that many signatures have to be added to their signature databases each day. These signatures then have to be stored in the computer system, where they consume …
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A Static, Dynamic and Memory Analysis Process for Outputting Fileless Malware Prevention Software Requirement
… activity, leave no traces on disk and evade signature-based detection making it difficult to detect with end point detection and response systems and anti-virus software. Many studies focus on the analysis or detection of fileless malware, yet few studies focus specifically on how fileless …