stdClass Object
(
    [id] => 7056
    [paper_index] => 202205-02-010400
    [title] => FRAUDULENT FILE SHARING PREVENTION USING SECURE COMPUTING
    [description] => 
    [author] => Anandu Viswanath, Vasantha S
    [googlescholar] => https://scholar.google.co.in/scholar?q=eprajournals.com&hl=en&scisbd=2&as_sdt=0,5
    [doi] => 
    [year] => 2022
    [month] => May
    [volume] => 7
    [issue] => 5
    [file] => 938pm_66.EPRA JOURNALS 10400.pdf
    [abstract] => Data security is very important. The vast majority of companies using desktop applications place more emphasis on the importance of data and how it relates to their products. Most security service systems need to be offline. If it is online, there is a possibility of getting hacked and tampered with. But today everything is done online. Therefore, we need to increase the security of files and data. Many companies create intra-applications to prevent data breaches. Therefore, this document proposes a secure file sharing system to prevent data leakage. Source code is one of the most important and sensitive data for IT companies. Source code breaches can lead to tampering with the products and services they offer, resulting in significant business losses. Therefore, this system aims to provide a secure in-file sharing system that can detect unauthorized sharing of sensitive information such as source code. The system uses Principal Component Analysis for this purpose
    [keywords] => File Sharing, Prevention, Principal Component Analysis, Pattern matching, Anomalies
    [doj] => 2022-06-01
    [hit] => 992
    [status] => y
    [award_status] => P
    [orderr] => 66
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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