Text file privacy on the cloud based on diagonal fragmentation and encryption
المؤلفون المشاركون
Abu Shawish, Mahmud Y.
Barhum, Tawfiq
المصدر
Journal of Engineering Research and Technology
العدد
المجلد 8، العدد 1 (31 مارس/آذار 2021)، ص ص. 19-25، 7ص.
الناشر
الجامعة الإسلامية-غزة عمادة شؤون البحث العلمي و الدراسات العليا
تاريخ النشر
2021-03-31
دولة النشر
فلسطين (قطاع غزة)
عدد الصفحات
7
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Despite the growing reliance on cloud services and software, privacy is somewhat difficult.
we store our data on remote servers in cloud environments that are untrusted.
if we do not handle the stored data well, data privacy can be violated with no awareness on our part.
although it requires expensive computation, encrypting the data before sending it appears to be a solution to this problem.
so far, all known solutions to protect textual files using encryption algorithms fell short of privacy expectations.
thus is because encrypting cannot stand by itself.
the encrypted data on the cloud server becomes full file in the hand causing the privacy of this data to be intrusion-prone, thus allowing intruders to access the file data once they can decrypt it.
this study aimed to develop an effective cloud confidentiality model based on combining fragmentation and encryption of text files to compensate for reported deficiency in encryption methods.
the fragmentation method used the strategy of dividing text files into two triangles through the axis.
whereas the encryption method used the blowfish algorithm.
the research concluded that high confidentiality is achieved by building a multi-layer model: encryption, chunk, and fragmentation of every chunk to prevent intruders from reaching the data even if they were able to decrypt the file.
using the privacy accuracy equation (developed for the purpose in this research), the model achieved accuracy levels of 96% and 90% when using 100 and 200 words in each chunk on small, medium, and large files respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barhum, Tawfiq& Abu Shawish, Mahmud Y.. 2021. Text file privacy on the cloud based on diagonal fragmentation and encryption. Journal of Engineering Research and Technology،Vol. 8, no. 1, pp.19-25.
https://search.emarefa.net/detail/BIM-1384099
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barhum, Tawfiq& Abu Shawish, Mahmud Y.. Text file privacy on the cloud based on diagonal fragmentation and encryption. Journal of Engineering Research and Technology Vol. 8, no. 1 (Mar. 2021), pp.19-25.
https://search.emarefa.net/detail/BIM-1384099
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barhum, Tawfiq& Abu Shawish, Mahmud Y.. Text file privacy on the cloud based on diagonal fragmentation and encryption. Journal of Engineering Research and Technology. 2021. Vol. 8, no. 1, pp.19-25.
https://search.emarefa.net/detail/BIM-1384099
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 25
رقم السجل
BIM-1384099
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر