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Research On Several Security Issues In Network Printing

Posted on:2023-11-23Degree:MasterType:Thesis
Country:ChinaCandidate:M Y HanFull Text:PDF
GTID:2568307061461524Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
With the development of society and economy,network printers play an increasingly important role in people’s daily lives.However,traditional network printing methods have many hidden security risks.Due to the openness of the wireless channel,an attacker can easily intercept the data from the wireless sensor and effectively attack the data stream,there are some big security problems in printing files through a wireless network.Therefore,for those sensitive data or units and departments that need to keep the data confidential,network printing needs to ensure the security of the data.On the other hand,the print files printed by the network printer will track the relevant user and printer information,and provide help for the traceability of the print files,especially the files printed by the network printing method.This is because color laser printers are set with hardware-level programs before they leave the factory.These programs are used to embed relevant yellow dots and secret marks that cannot be detected by human eyes on the printed paper when the document is printed.,The secret mark dot matrix model composed of yellow dots and secret marks is the key to carry this information.The related tracking information carried by the secret mark dot matrix model is helpful for collecting evidence from printed documents printed on the network.In response to the above problems,this paper proposes an effective and reliable extraction algorithm of the tracking dot matrix model,an efficient data integrity scheme and a data confidentiality scheme.Specifically,the main research contents of this paper are as follows:1.Aiming at the yellow dots in the printed file,the relevant characteristics of the yellow dots in the existing printed files are analyzed,and based on these characteristics,two different methods of displaying the yellow dots of the printed file are compared and the extraction of yellow dots in different color space models is achieved.An efficient extraction and global threshold segmentation algorithm suitable for printing documents is proposed.2.Aiming at the problem of small,irregular and difficult extraction of yellow dots in printed documents,it is proposed to use morphological processing to process the small and irregular yellow dots into full-form and regular-shaped dots,which greatly facilitates the follow-up extraction of the tracking dot matrix model of the printed files.3.Aiming at the tracking dot matrix model that appears in the printed file,the relevant characteristics of the tracking dot matrix model are analyzed,and an effective and reliable extraction algorithm of the tracking dot matrix model is proposed by using these characteristics,and the extracted tracking dot matrix model is decoded,and get the relevant tracking information represented by the tracking dot matrix model,which provides important help for the collection of evidence related to printed documents.4.Aiming at the data integrity problems encountered in the network printing process,a efficient data integrity protection method that introduces Montgomery’s modular multiplication technology into the optimized BLS signature algorithm is proposed, which significantly reduces the cost of signatures,even more effective than the scheme based on hash functions.5.Aiming at the data confidentiality problem encountered in network printing,an improved probabilistic encryption scheme is proposed to solve the problem of limited space of plaintext and ciphertext.For the situation where a data provider corresponds to multiple vertical industry business systems,a lightweight attribute matching algorithm based on inner product is proposed to meet the requirements of one data provider corresponding to multiple data users.
Keywords/Search Tags:yellow dots, yellow dot matrix model, BLS signature algorithm, attribute matching
PDF Full Text Request
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