KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from
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DATA LEAKAGE DETECTION . Abstract - If a distributor has given sensitive data to a set of supposedly trusted agents (third parties) and if some of the data is leaked and found in an unauthorized place‚ the distributor must assess the likelihood that the leaked data came from one or more agents‚ as opposed to having been independently gathered by other means. The techniques used improves the probability of identifying leakages and finding guilty agent. These methods do not
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2231-4946] Development of Data leakage Detection Using Data Allocation Strategies Rudragouda G Patil Dept of CSE‚ The Oxford College of Engg‚ Bangalore. patilrudrag@gmail.com Abstract-A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). If the data distributed to third parties is found in a public/private domain then finding the guilty party is a nontrivial task to distributor. Traditionally‚ this leakage of data is handled by water marking technique
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Running Head: PLAYSTATION NETWORK DATA LEAKAGE 1 PlayStation Network Data Leakage: One of the Largest Data Security Breaches in History Heng Sue Chin 2012551219 The University of Hong Kong Author Note‚ This paper was prepared for CCST9029 Cyberspace Crime: Technology and Ethics‚ taught by Dr. K.P. Chow‚ tutored by Ms. Vivien Chan. PLAYSTATION NETWORK DATA LEAKAGE 2 Abstract PlayStation Network‚ known as PSN‚ is a free online platform for users to
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Data Security and Leakage Preventive Solutions Darshana Esajenith Samaranayake Student ID: 110390 Wilmington University Abstract Many companies keep sensitive personal information about customers or employees in their files or on their network. Those information move fast through the systems and make easier for organizations to provide efficient and effect full service to the customers. Security of the information is one of the most concern aspects in information systems as it has become
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Hence the technology of digital watermarking is received a large deal of attention. Generally‚ digital watermarking techniques are based on either spread spectrum methods or changing the least significant bits of selected coefficients of a certain signal transform. For speech watermarking‚ to ensure the embedded watermark is imperceptible‚ the audio marking phenomenon is considered together with these conventional techniques. In addition‚ a speech watermarking system should be robust to various
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interface). The industry is investing to deliver audio‚ image and video data in electronic form to customers‚ and broadcast television companies‚ major corporations and photo arc hivers are converting their content from analogue to digital form. This movement from traditional content‚ such as paper documents‚ analogue recordings‚ to digital media is due to several advantages of digital media over the traditional media. Digital Watermarking Technique is becoming popular‚ especially for adding undetectable
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ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY NEDELJKO C VE JIC Department of Electrical and Information Engineering‚ Information Processing Laboratory‚ University of Oulu OULU 2004 NEDELJKO CVEJIC ALGORITHMS FOR AUDIO WATERMARKING AND STEGANOGRAPHY Academic Dissertation to be presented with the assent of the Faculty of Technology‚ University of Oulu‚ for public discussion in Kuusamonsali (Auditorium YB210)‚ Linnanmaa‚ on June 29th‚ 2004‚ at 12 noon. O U L U N Y L I O P
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Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper‚ we discuss the fraud‚ fraud types and cost of fraud. In order to reduce the cost of fraud‚ companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market‚ we introduce seven
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February 2013 WATERMARKING RELATIONAL DATABASES Mayuree K.Rathva¹‚Prof.G.J.Sahani² Dept.of Computer Engineering‚ SVIT‚Vasad‚ Anand‚Gujarat‚ INDIA ¹mayurirathva@gmail.com and ²Gurcharan_sahani@yahoo.com ABSTRACT Uptil now most of the work is done on image‚ video‚ audio.but today the Database watermarking becomes the research topic because of the increasing the use of relational database systems. Which deals with the legal issue of copyright protection of database systems. .Watermarking is an information
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