scholarly journals Secure file system versioning at the block level

2007 ◽  
Vol 41 (3) ◽  
pp. 203-215 ◽  
Author(s):  
Jake Wires ◽  
Michael J. Feeley
2021 ◽  
Author(s):  
Sandeep Kumar ◽  
Smruti R. Sarangi

2008 ◽  
Vol 2 (6) ◽  
pp. 461 ◽  
Author(s):  
C. Pedraza ◽  
J. Castillo ◽  
J.I. Martínez ◽  
P. Huerta ◽  
C.S. de La Lama

2013 ◽  
Vol 8 (6) ◽  
Author(s):  
Chunxia Zhang ◽  
Baoxu Shi ◽  
Xudong Li
Keyword(s):  

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Gousiya Begum ◽  
S. Zahoor Ul Huq ◽  
A. P. Siva Kumar

Abstract Extensive usage of Internet based applications in day to day life has led to generation of huge amounts of data every minute. Apart from humans, data is generated by machines like sensors, satellite, CCTV etc. This huge collection of heterogeneous data is often referred as Big Data which can be processed to draw useful insights. Apache Hadoop has emerged has widely used open source software framework for Big Data Processing and it is a cluster of cooperative computers enabling distributed parallel processing. Hadoop Distributed File System is used to store data blocks replicated and spanned across different nodes. HDFS uses an AES based cryptographic techniques at block level which is transparent and end to end in nature. However cryptography provides security from unauthorized access to the data blocks, but a legitimate user can still harm the data. One such example was execution of malicious map reduce jar files by legitimate user which can harm the data in the HDFS. We developed a mechanism where every map reduce jar will be tested by our sandbox security to ensure the jar is not malicious and suspicious jar files are not allowed to process the data in the HDFS. This feature is not present in the existing Apache Hadoop framework and our work is made available in github for consideration and inclusion in the future versions of Apache Hadoop.


2012 ◽  
Vol 433-440 ◽  
pp. 4704-4709
Author(s):  
Yan Shen Chen ◽  
De Zhi Han

To solve the data security issue in intranet massive storage system, a Multi-Protocol Secure File System ( for short MPSFS) is designed. Firstly, the MPSFS supports the access of users with different protocols, and provides the unified access interface, so can achieve high performance in data storage and retrieval; secondly, with the help of other technologies such as identity authentication, access control and data encryption, the MPSFS can effectively ensure the data security in the intranet storage system. By the experiment, the MPSFS can provide good security and scalability for intranet massive storage system, and has less effect to the network I/O performance.


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