Security Measures Assessment for Big Data Management Systems

Kandrouch, Ibtissame; Saadi, Chaimae; Hmina, Nabil; Chaoui, Habiba

doi:10.1109/icoa.2019.8727699

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…(This part develops the previous study presented in [9])According to the results obtained previously, vulnerabilities number remains high, and their exploitation, as described by the first 10 OWASP [13] aims to undermine the integrity or the availability of the information system with the possibility of viral contamination. The number of vulnerabilities progresses in an exponential way until the years 2006 and 2017.…”

Section: Fig 3: Big Data Processing Systems Vulnerabilities Over Thementioning

confidence: 76%

“…So it's very obvious that the important and critical things to consider are the data leakage and also the security solutions. [9] A. Security challenges during the Big Data life cycle (This part develops the previous study presented in [9]) Securing Big Data involves the establishment of security mechanisms throughout the life cycle of Big Data.…”

Section: Big Data Security Challengesmentioning

confidence: 99%

“…To carry out an assessment of a vulnerability and the capabilities of a group of threats, it will be necessary first to define the number of vulnerabilities detected over the years by Big Data management systems [9]. According to studies interested in data security, such as the annual report of cisco and cyber Security [12] , OWASP [13], and other studies work on the situation of Big Data, as well as to the security situation of systems allowing Big Data treatment, the annual Big Data guides as example, we have been able to make a graph showing the evolution of Big Data management systems vulnerabilities over the years, from 1999, until 2017 [9].…”

Section: Big Data Processing Systems Vulnerabilities Over Thementioning

confidence: 99%

“…This may be related to several factors, such as the lack of an integrated protection system, or the unavailability if the staff members. Detection, Analysis and Security Alerts Resolution in Data Management Systems [9]. In the rest, we will use the Hadoop Big Data Management System, as a system of study and implementation of our solution, not only because it is the most used system for managing massive data, but also because it is invented without any security layer [2], even if it considers the leader compared to other systems of management and Big Data treatment [9] III.…”

Section: Fig 3: Big Data Processing Systems Vulnerabilities Over Thementioning

confidence: 99%

See 3 more Smart Citations

A Novel Security Architecture Based on Haystack System for HDFS Storage System: Extended Work

Kandrouch*,

Hmina,

Hmina

2020

IJITEE

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Over the past few years, the digitization of our different daily transactions and our activities have helped to create the new Big Data era. This phenomenon has become more widely used in different fields for many reasons, such as information retrieval, decision making, etc. But keeping this data safe from any attack attempts constitutes a real challenge. Indeed, Big Data security has become very important recently, since all technologies and large organizations have become dependent on these Data. For this reason, we deal with the Big Data security problems, especially those encountered during their management and treatment, and more precisely, those appeared during the processing with Hadoop system. The paper aims to highlight the Big Data system processing situation in terms of security, also it shed light on some existing security solutions used for overcoming these security issues, we will reveal its strengths and its weaknesses according to the security pillars. Subsequently, we will present our new security architecture, based on Haystack intrusion detection system, which serves to improve the inactive data security contained in HDFS, while analyzing its feasibility and its parameters

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Section: Fig 3: Big Data Processing Systems Vulnerabilities Over Thementioning

confidence: 76%

Section: Big Data Security Challengesmentioning

confidence: 99%