Iraqi Journal for Computers and Informatics

The increase in the amount of data in encrypted databases has caused problems in data processing and retrieval time. In traditional query processing methods, there are many difficulties in execute query over an encrypted database because it is time-consuming. In this paper, proposes technique for querying encrypted databases records, allows authorized users to execute queries without decrypting all there cords of the encrypted database. In this technique, in verted table s include the numbers of 3D box cover locations that we recreated to enhance and speed up the retrieval time of query and improve an approach of data embedding according to the random 3D box. The proposed method has been examined on the Iraqi voter encrypted Database. The retrieval time in (second, millisecond) has been computed for the traditional method of query processing and proposed technique that using inverted tables. The retrieval time of query executing of proposed techniques without retrieval of all the records of the encrypted database is 10.870 (se con ds, millisecond) where the retrieval time of query executing of conventional method that’s retrieval of all the re cords of the encrypted database is 40.682 (se con ds, millisecond).

Th e de ve l opm e n t of syste m s al l ows provi di n g th e capabi l i ty of u si n g th re e-di m e n si on (3D) pi ctu re s ove r th e i n te rn e t e spe ci al l y i n soci al m e di a. In pre vi ou s ye ars, an i m ati on pi ctu re s an d vi de os are n ot u sed i n th e i ntern et du e to th e si z e s of th e se two dataan d n e ed th e h u ge am ou n t of data to work ove r i n te rnet an d n e e d su pporti n g program to de al wi th pre se n ti n g th e data to th e u se rs of th e i n te rnet i n e ither we bsites or social m edi a. Most of the se cu ri ty ove r i n te rn e t u se d on ci ph e ri n g te xt or ci ph e ri ng i mages bu t n ot ci ph e r vi de o or 3D pi ctu re be cau se vi de o an d 3D pi ctu re s are n ot u se d u n ti l re ce n tly. Th e h uge u se of th ese two type s 3D pi ctu re s an d vi de os i n re ce n t ye ars. It i s be com e an u rge n t n e ce ssary to e ncrypt th ese sorts of data. Th e re search wi l l focu s on e ncrypting th ese type s of data by u si n g spe ci al al gori th m cal l e d as Ti n y En crypti on Al gori th m (TEA). Th i s al gori th m wi l l be u se d to e n crypt an d de crypt 3D pi ctu re s an d prote cti n g th e pri vacy of th i s sort of data. Th e re se arch sh ows th e h ow-to e n code an d de code of 3D pi ctu re an d h ow to de al wi th th e m . Th e re su l ts sh ow th e TEA i s rapi d al gori th m i n th e codi n g pi ctu re an d de codi n g 3D pi ctu re s. i t i s on ly n eedin g a fe w porti on s of ti m e to ci ph e r an d de ci ph e r 3D pi ctu re s. Th e program th at u se d to te st th eciph ering an d de ciph erin g al gori th m was base d on MATLAB

The necessity for the biometrical security has been increased in order to give security and safety from the theft, frauds, etc. Iris recognition acquired a considerable value amongst all the biometrics-based systems. It is utilized used for surveillance and authentication for detecting individuals and proving an individual’s identity. The present article discusses the various stages of recognizing iris images, which include acquiring, segmenting, normalizing, extracting features, and matching. The model of a typical iris recognition system of the eye is described and the results ofits work are presented. The present study will investigate the comparative performances from various methods on the feature extraction for the accuracy of the iris recognition.

Email is an economical facet of communication, the importance of which is increasing in spite of access to other approaches, such as electronic messaging, social networks, and phone applications. The business arena depends largely on the use of email, which urges the proper management of emails due to disruptive factors such as spams, phishing emails, and multi-folder categorization. The present study aimed to review the studies regarding emails, which were published during 2016-2020, based on the problem description analysis in terms of datasets, applications areas, classification techniques, and feature sets. In addition, other areas involving email classifications were identified and comprehensively reviewed. The results indicated four email application areas, while the open issuesand research directions of email classifications were implicated for further investigation