Masterarbeit, 2015
37 Seiten
This thesis aims to enhance the security of data transmission between NFC tags and NFC-enabled smartphones, particularly focusing on the vulnerabilities of NFC tags. The primary objective is to develop a security model that can effectively protect against various security threats associated with NFC technology, while maintaining a rapid data transmission rate.
Chapter 1 introduces the thesis and its primary goal of securing data transmission from NFC tags to smartphones. It highlights the importance of maintaining a rapid data transmission rate while implementing security measures. The thesis outlines the structure of the report, outlining the content of each chapter.
Chapter 2 provides a comprehensive overview of NFC technology, exploring its functionalities and data transmission mechanisms. It delves into various aspects of NFC, including different modes of operation, tag types, and the NFC Data Exchange Format (NDEF). The chapter also discusses cryptography, artificial neural networks (ANNs), and category classifiers, which are crucial concepts for understanding the proposed security model.
Chapter 3 focuses on the various security threats that can compromise NFC technology. It examines the potential impact of these threats on user privacy and outlines how attackers can exploit these vulnerabilities.
Chapter 4 explores various counter-measures that can be implemented to protect users from NFC security threats. It discusses existing approaches and methodologies used to secure NFC data transmission and examines their effectiveness in training artificial neural networks (ANNs).
The primary focus of this thesis is on securing data transmission between NFC tags and NFC-enabled smartphones. Key areas of focus include NFC security, NFC threats, counter-measures, artificial neural networks (ANNs), category classifier, user anonymity, confidentiality, and privacy.
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