عرض بسيط للتسجيلة

المؤلفGao, Yun
المؤلفFu, Xiao
المؤلفLuo, Bin
المؤلفDu, Xiaojiang
المؤلفGuizani, Mohsen
تاريخ الإتاحة2022-11-10T09:47:25Z
تاريخ النشر2015
اسم المنشور2015 IEEE Global Communications Conference, GLOBECOM 2015
المصدرScopus
المصدر2-s2.0-84964906368
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/GLOCOM.2014.7417387
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36162
الملخصNowadays Hadoop is popular among businesses and individuals for its low costs, convenience, and fast speed. However, this also makes it the goal of data leakage attacks as sensitive data stored with an HDFS infrastructure grows rapidly. Therefore, it is important to investigate such attacks in Hadoop. Several works have been done on improving the security of Hadoop, but hardly any have been done on data leakage investigation. This paper presents a typical data leakage attack scene in Hadoop and proposes Haddle (Hadoop Data Leakage Explorer), a forensic framework composed of automatic analytical methods and on-demand data collection based on two stages. With the assistance of Haddle, investigators can find the stolen data, find the perpetrator who stole the data, and reconstruct the crime scene. Also, Haddle can help improve the audit mechanism of Hadoop. 2015 IEEE.
راعي المشروعThis work is supported by the National Natural Science Foundation of China (61100198/F0207, 61100197/F0207)
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCloud computing
Data leakage
Forensics
Hadoop
HDFS
العنوانHaddle: A framework for investigating data leakage attacks in hadoop
النوعConference Paper
dc.accessType Abstract Only


الملفات في هذه التسجيلة

الملفاتالحجمالصيغةالعرض

لا توجد ملفات لها صلة بهذه التسجيلة.

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة