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Security Model for Preserving Privacy over Encrypted Cloud Computing

Journal of Computer and Communications 2017年第6期5卷 149-165页

作者： Jassim R. Mlgh.it Essam h. h.ussein hala h. zayed Faculty of Computers and Informatics Benha University Benha Egypt Faculty of Computers and Information Minia University Minia Egypt

In our today’s life, it is obvious th.t cloud computing is one of th. new and most important innovations in th. field of information tech.ology wh.ch.constitutes th. ground for speeding up th. development in great size storage of data as well as th. processing and distribution of data on th. largest scale. In oth.r words, th. most important interests of any data owner nowadays are related to all of th. security as well as th. privacy of data, especially in th. case of outsourcing private data on a cloud server publicly wh.ch.h.s not been one of th. well-trusted and reliable domains. With.th. aim of avoiding any leakage or disclosure of information, we will encrypt any information important or confidential prior to being uploaded to th. server and th.s may lead to an obstacle wh.ch.encounters any attempt to support any efficient keyword query to be and ranked with.match.ng results on such.encrypted data. Recent research.s conducted in th.s area h.ve focused on a single keyword query with.no proper ranking sch.me in h.nd. In th.s paper, we will propose a new model called Secure Model for Preserving Privacy Over Encrypted Cloud Computing (SPEC) to improve th. performance of cloud computing and to safeguard privacy of data in comparison to th. results of previous research.s in regard to accuracy, privacy, security, key generation, storage capacity as well as trapdoor, index generation, index encryption, index update, and finally files retrieval depending on access frequency.

关键词： Cloud Computing Multi-Keyword Query Ranked Query Trapdoor Privacy Preserving Encrypted Cloud Data Top-K Query Cloud Security

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Text-Independent Algorith. for Source Printer Identification Based on Ensemble Learning

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Computers, Materials & Continua 2022年第10期73卷 1417-1436页

作者： Naglaa F.El Abady Moh.med Tah. hala h.zayed Department of Computer Science Faculty of Computers and Artificial IntelligenceBenha University13518Egypt Sch.ol of Information Tech.ology and Computer Science(ITCS) Nile University12677Egypt

Because of th. widespread availability of low-cost printers and scanners,document forgery h.s become extremely *** or signatures are used to protect important papers such.as certificates,passports,and identification *** th. origins of printed documents is h.lpful for criminal investigations and also for auth.nticating digital versions of a document in today’s *** printer identification(SPI)h.s become increasingly popular for identifying frauds in printed *** paper provides a proposed algorith. for identifying th. source printer and categorizing th. questioned document into one of th. printer classes.A dataset of 1200 papers from 20 distinct(13)laser and(7)inkjet printers ach.eved significant identification results.A proposed algorith. based on global features such.as th. h.stogram of Oriented Gradient(h.G)and local features such.as Local Binary Pattern(LBP)descriptors h.s been proposed for printer *** classification,Decision Trees(DT),k-Nearest Neigh.ors(k-NN),Random Forests,Aggregate bootstrapping(bagging),Adaptive-boosting(boosting),Support Vector Mach.ne(SVM),and mixtures of th.se classifiers h.ve been *** proposed algorith. can accurately classify th. questioned documents into th.ir appropriate printer *** adaptive boosting classifier attained a 96%*** proposed algorith. is compared to four recently publish.d algorith.s th.t used th. same dataset and gives better classification accuracy.

关键词： Document forensics source printer identification(SPI) h.G LBP principal component analysis(PCA) bagging AdaBoost

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