Autor: Kareem, Shahab - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Search engine optimization: a review
Autorzy:: Almukhtar, Firas
Mahmoodd, Nawzad
Kareem, Shahab
Powiązania:: https://bibliotekanauki.pl/articles/1837798.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: search engine optimization
Google
page ranking
information retrieve
optymalizacja wyszukiwarek
ranking stron
pobieranie informacji
Opis:: The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.
Źródło:: Applied Computer Science; 2021, 17, 1; 70-80
1895-3735
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Enhancing approach using hybrid pailler and RSA for information security in bigdata
Autorzy:: Abdalwahid, Shadan Mohammed Jihad
Yousif, Raghad Zuhair
Kareem, Shahab Wahhab
Powiązania:: https://bibliotekanauki.pl/articles/117665.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: BigData
Hadoop
RSA
Paillier
Cryptography
kryptografia
Opis:: The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud. This fact motivates the need for a platform which can handle this problem. Hadoop is a deployed platform proposed to overcome this big data problem which often uses MapReduce architecture to process vast amounts of data of the cloud system. Hadoop has no strategy to assure the safety and confidentiality of the files saved inside the Hadoop distributed File system (HDFS). In the cloud, the protection of sensitive data is a critical issue in which data encryption schemes plays avital rule. This research proposes a hybrid system between two well-known asymmetric key cryptosystems (RSA, and Paillier) to encrypt the files stored in HDFS. Thus before saving data in HDFS, the proposed cryptosystem is utilized for encrypting the data. Each user of the cloud might upload files in two ways, non-safe or secure. The hybrid system shows higher computational complexity and less latency in comparison to the RSA cryptosystem alone.
Źródło:: Applied Computer Science; 2019, 15, 4; 63-74
1895-3735
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

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