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Full-Text Articles in Physical Sciences and Mathematics
Towards Enhanced Security For Automotive Operating Systems, Maksym Hryhorenko
Towards Enhanced Security For Automotive Operating Systems, Maksym Hryhorenko
Theses and Dissertations
Modern automotive infotainment systems are represented by highly complex components with broad functionality and network capabilities. As a result, they are becoming more exposed to the outer world, thus turning into potentially lucrative targets for remote cyber attacks. In the worst case scenario, an attacker could gain complete control over critical vehicle’s systems, for instance, steering, braking, engine, etc. This thesis proposes security hardening features based on ARM’s TrustZone technology for infotainment systems that ensures confidentiality and integrity of critical applications. In addition, we present a technique that allows to mitigate the impact of certain attacks on the car’s internal …
Privus: Take Back Your Privacy The Effect Of A User-Centered Approach On Privacy Management, Aral Tasher
Privus: Take Back Your Privacy The Effect Of A User-Centered Approach On Privacy Management, Aral Tasher
Theses and Dissertations
Rapid innovations in science and engineering have created a greater opportunity for disruptive technologies to be established at a faster rate. Less than a decade ago mobile, phones were a mere tool for communication, nowadays, we rely on their successors to remind us about our next appointment, what we need from the grocery store, or even where we parked our car. But this assistance comes with a cost; in order to help us, our devices rely on using our personal information like GPS, contacts list and personal notes, –in some cases more information than what the app needs. While there …
Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara
Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara
Theses and Dissertations
Biometrics technologies are designed for recognition of the unique physiological and behavioral features of an individual for identification and verification applications. There have been noteworthy advances in this field to recognize individuals based on their biometric trait(s) for authentication and verification applications. Despite these advances, there are many challenging issues which impede the potential of biometric systems and therefore limit the systems performance. Traditional biometric system design involves a selection of handcrafted features for recognition tasks which are not efficient as the size of the system scales up. Face and iris biometrics are reliable for many identification and verification applications …