Essays about: "software security model"
Showing result 16 - 20 of 133 essays containing the words software security model.
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16. The State of Software Diversity in the Software Supply Chain of Ethereum Clients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The software supply chain constitutes all the resources needed to produce a software product. A large part of this is the use of open-source software packages. READ MORE
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17. Minimator: A Serious Game on Zero-Day Markets
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Zero-days are vulnerabilities that the software vendor does not know about and thus cannot provide a patch for. Their value has caused markets to develop, divided by the purchase intention. This thesis focuses on the white and grey markets, that is those buying to patch and those buying to exploit. READ MORE
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18. Application of formal verification and validation on modern multi-functional signalling system
University essay from KTH/TransportplaneringAbstract : Demand for rail transport is increasing day by day. Rail is popular in public transport due to punctuality, regularity, and safety. However, we hear daily that rail traffic still has many problems to solve about incidents, near misses, and signal errors. READ MORE
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19. Detecting Security Patches in Java OSS Projects Using NLP
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Open Source Software is becoming more and more popular, but it comes with the risk of importing vulnerabilities in private codebases. Security patches, providing fixes to detected vulnerabilities, are vital in protecting against cyber attacks, therefore being able to apply all the security patches as soon as they are released is key. READ MORE
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20. An Empirical Investigation On The Quality Of Open Source Anonymization Tools
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Context. In mid-2018, the GDPR legislation came into force, makingit less easy for companies to acquire personal data and use that information,for example, with machine learning. In addition, the legislationnow requires personal data to be anonymized to avoid penaltiesbefore giving up such information to other organizations. READ MORE