Similarity Protocols in the Malicious User Model
Instilling Similarity Rating Model to Combat Malicious Raters
... Rating model that mitigates the issues of malicious ratings and various users’ ...CPR model can be easily implemented in both centralised and decentralised ...rating model in mitigating the ...
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(Partial) user preference similarity as classification-based model similarity
... of user preferences based on classification similarity of the respective hypothesized user preference ...The user preference models are built with machine learn- ing ...hypothesized ...
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Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model
... our protocols and compare them to prior ...our protocols, in Table 2 and ...the protocols, such as the underlying assumptions, and whether they are in the standard model or ROM, in ...
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Secure Similarity Coefficients Computation with Malicious Adversaries
... Abstract. Similarity coefficients play an important role in many application ...privacy-preserving similarity coefficients protocol for binary data was proposed by Wong and Kim (Computers and Mathematics ...
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A Probabilistic Model for Malicious User and Rumor Detection on Social Media
... What it implies is that users retweeting rumors and true stories are more similar for news stories than for picture stories, and the reason is that rumors in the news dataset are more di[r] ...
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Probabilistic partial user model similarity for collaborative filtering
... 4.1 Dataset We created a movie dataset that consists of user ratings and movie descriptions. We used the Netflix-Prize dataset [4] that originally consists of 17 000 movies, 480 189 users and 100 480 507 ratings ...
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A new user similarity model to improve the accuracy of collaborative filtering
... algorithm, similarity threshold for users and items was set respectively and the missing data will be predicted if and only if, the intersection of the neighbors of user and the neighbors of item is not ...
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A Similarity based Technique for Detecting Malicious Executable files for Computer Forensics
... If forensics investigators can not trace the activities of malicious users with common skills, they will have to analyze data more closely and precisely [10]. There are static and dynamic approaches to detect ...
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Malicious User Detection and Localization of Wifinetwork in Wirelessnetwork
... 6. SOFTWARE SPECIFICATIONS 6.1 INTRODUCTION TO DOTNET Microsoft .NET may be a set of Microsoft computer code technologies for apace building and group action XML net services, Microsoft Windows-based applications, and ...
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Malicious User Attack in Cognitive Radio Networks
... Primary user emulation (PUE) attack is considered as a source of interference in CRN and causes signal detection ...errors. Malicious users are capable to harm spectrum sensing ...primary user ...
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Collaborative Filtering Recommendation Model Considering Integration of User Rating and Attribute Similarity
... the similarity algorithm, which are used to compute positive and negative credibility values respectively based on their predicted ratings and the current user ...
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CiteSeerX — Fast Cut-and-Choose Based Protocols for Malicious and Covert Adversaries ∗
... semi-honest model, where just one garbled circuit is constructed and evaluated, Yao’s protocol has proven itself to be very ...a malicious adversary who constructs the garbled circuit may construct a ...
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Detecting Malicious Code by Model Checking
... for malicious individuals developing worms—programs that spread au- tonomously over networks requiring little or no user interaction, like NetSky or ...
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CiteSeerX — Privacypreserving data mining in malicious model
... the malicious model. However, the cost trade-off between the protocols in the malicious model and the semi- honest model is not clear in ...the malicious model for ...
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Efficient Protocols for Set Intersection and Pattern Matching with Security Against Malicious and Covert Adversaries
... We consider three different cases that occur with almost the same probability in both executions, due to the indistinguishable views. In the first case A’s input to F OT or F CT is either corrupted 1 , abort 1 or cheat 1 ...
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Combination of Trust Evaluation and User Correlation in Online Reputation System For Detection of Malicious user
... we model the feedback-based reputation systems as the system in which users provide ratings to ...This model can describe many practical ...one user may provide several ratings for the same object, ...
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An approach to compute user similarity for GPS applications
... to model the recorded GPS points of user mobility they introduce the concept of stay ...a user has potentially stayed for a period of ...each user the framework develops a per- sonal ...
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Model checking quantum protocols
... It may seem downright foolish to start ignoring elements of a system while trying to under- stand it. However, a useful means of managing complexity should allow the user to separate and re–group these different ...
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Protocols Used In Osi Model
... and protocols in a network layer controls the ...different protocols which is also responsible for the layer protocols? Originally conceived as a secured socket layer from error control data packets ...
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Osi Reference Model Protocols
... reference model protocols that request to the transport. Protocols at next layer if necessary for establishing, maintaining and ending sessions between user ...networking protocols ...
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