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A Study on the novel tool to retort P2P security issues
Martin Drahansky 보안공학연구지원센터 2008 보안공학연구논문지 Vol.5 No.2
The term File Sharing is the sharing of computer data or space on a network. File-sharing allows multiple users to access the same file, giving the user the ability to read, modify, copy and/or print it. File sharing is a common practice since the introduction of computer networks. P2P applications or Peer-to-peer applications, such as those used to share multimedia files, are some of the most common forms of file-sharing technology. However, Peer-to-peer applications are vulnerable to security risks that may put your information or your computer in jeopardy. In this paper, we discuss the issues and solutions in P2P Sharing. A method in file sharing which include the splitting of the file into chunks before the sending process is suggested. This method's process and applicability is also discussed.
Liveness Detection for Biometric Systems Based on Papillary Lines
Martin Drahansky,Dana Lodrova 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.4
This paper deals with an add-on for biometric security systems, especially for the finger-print recognition technology. This added part of such systems is the liveness detection. Our method is based on detection of optical characteristics of the finger surface (skin). The main idea is to detect the movements of papillary lines, but some another optical information could be extracted, what is outlined at the end.
Incentive Approach to The Active Network Privacy Threats and Vulnerabilities
Martin Drahansky,Maricel Balitanas 보안공학연구지원센터(JSE) 2010 보안공학연구논문지 Vol.7 No.6
This paper scrutinizes an active network scenario and proposes an efficient dual authentication key exchanged. The scheme protects personal privacy of identity information. It also provides an effective method to protect against DOS attacks with the scope information of initiator’s random number table sent by the responder.
CUDA Accelerated Real-time Digital Image Stabilization in a Video Stream
David Pacura,Martin Drahansky 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.6
The most important step for successful video processing in computer vision is its stabilization. Often, it is required to process high resolution video in a real-time. In this paper, a new method for a real-time digital image stabilization in a video stream is presented. This method preserves the intended camera motion and exploits computing power of GPGPU by utilizing CUDA programing interface. In order to reduce required computation power, local search windows are used for the correspondence search of consecutive video frames. These windows are further processed using Local Binary Patterns, which enables fast correlation using bitwise XOR. The experiments on video sequences from both car-mounted and hand-held camera have demonstrated the effectiveness of this method. The speed of stabilization designates this method for video preprocessing in real-time applications.