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Full-Text Articles in Physical Sciences and Mathematics
Automatic Detection And Prevention Of Fake Key Attacks In Signal, Tarun Kumar Yadav
Automatic Detection And Prevention Of Fake Key Attacks In Signal, Tarun Kumar Yadav
Theses and Dissertations
The Signal protocol provides end-to-end encryption for billions of users in popular instant messaging applications like WhatsApp, Facebook Messenger, and Google Allo. The protocol relies on an app-specific central server to distribute public keys and relay encrypted messages between the users. Signal prevents passive attacks. However, it is vulnerable to some active attacks due to its reliance on a trusted key server. A malicious key server can distribute fake keys to users to perform man-in-the-middle or impersonation attacks. Signal applications support an authentication ceremony to detect these active attacks. However, this places an undue burden on the users to manually …
When Keystroke Meets Password: Attacks And Defenses, Ximing Liu
When Keystroke Meets Password: Attacks And Defenses, Ximing Liu
Dissertations and Theses Collection (Open Access)
Password is a prevalent means used for user authentication in pervasive computing environments since it is simple to be deployed and convenient to use. However, the use of password has intrinsic problems due to the involvement of keystroke. Keystroke behaviors may emit various side-channel information, including timing, acoustic, and visual information, which can be easily collected by an adversary and leveraged for the keystroke inference. On the other hand, those keystroke-related information can also be used to protect a user's credentials via two-factor authentication and biometrics authentication schemes. This dissertation focuses on investigating the PIN inference due to the side-channel …
Malicious Manipulation In Service-Oriented Network, Software, And Mobile Systems: Threats And Defenses, Dakun Shen
Malicious Manipulation In Service-Oriented Network, Software, And Mobile Systems: Threats And Defenses, Dakun Shen
USF Tampa Graduate Theses and Dissertations
This dissertation includes three approaches we have been designed to tackle threats and challenges in network, software, and mobile security. The first approach demonstrates a new class of content masking attacks against the Adobe PDF standard, causing documents to appear to humans dissimilar to the underlying content extracted by information-based services. The second work protects sensitive data in binaries from being corrupted by cyber attackers. The last work proposes a mechanism which utilizes the unique walking patterns inherent to humans and differentiate our work from other walking behavior studies by using it as first-order authentication and developing matching methods fast …