Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective

Abstract

Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage. Unfortunately, absence of any inherent security mechanism in Hadoop increases the possibility of malicious attacks on the data processed or stored through Hadoop. In this scenario, securing the data stored in HDFS becomes a challenging task. Hence, researchers and practitioners have intensified their efforts in working on mechanisms that would protect user’s information collated in HDFS. This has led to the development of numerous encryption-decryption algorithms but their performance decreases as the file size increases. In the present study, the authors have enlisted a methodology to solve the issue of data security in Hadoop storage. The authors have integrated Attribute Based Encryption with the honey encryption on Hadoop, i.e., Attribute Based Honey Encryption (ABHE). This approach works on files that are encoded inside the HDFS and decoded inside the Mapper. In addition, the authors have evaluated the proposed ABHE algorithm by performing encryption-decryption on different sizes of files and have compared the same with existing ones including AES and AES with OTP algorithms. The ABHE algorithm shows considerable improvement in performance during the encryption-decryption of files.

Malware Analysis in Web Application Security: An Investigation and Suggestion

“…4 represents the whole malware analysis types and techniques that are used for securing web applications. Authors apply a multi criteria decision making (MCDM) approach called fuzzy-Analytical Hierarchy Process (AHP) for evaluating the priority and finding the most prioritized approach and type of malware analysis [46][47][48][49][50][51][52]. Fuzzy-AHP is methodology that is pre-verified and authors has expertise in fuzzy-based various MCDM approaches through their previous experience [53][54][55][56].…”

“…One of the examples in this context is that of Rami Sihwail et al The study provides a brief discussion on current malware analysis techniques [48], classification of malware in the current situation and also provides literature about different kinds of malware detection methods. There are some other related papers present in the study [49,50,75].…”

A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm

“…Nowadays, cloud services' development offers a wide source of information that causes many problems in this subject ( Jafari Kaleibar & Abbaspour, 2020 ). Without thinking carefully about some circumstances, such as functional, non-functional, and budgetary limitations, it is not probable to discover the numerous cloud providers ( Kapil et al, 2020 ). Therefore, efficient service discovery in the cloud is a significant challenge and an essential part of any distributed system ( Srirama, Paniagua & Liivi, 2013 ; Navimipour et al, 2014 ; Egbe et al, 2016 ).…”

Peer Review #3 of "Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems (v0.2)"

“…Each has its unique characteristics, as well as its own unique methods for verifying the integrity and data security. The specific requirements of industrial networks often make protocols particularly vulnerable to interference [2], [15], [17]. Among the above-mentioned standard network protocols, DNP3 is the most popular.…”