Estimate model of system management for database security

Alisawi, Wisam Ch; Hussain, Alaa Abdul AlMuhsen; Alawsi, Wasan A.

doi:10.11591/ijeecs.v14.i3.pp1391-1394

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…Such stress testing activities can be carried out with both the primary and DR databases, or it can also be feasible to offload the work to the DR database. A methodology for designing secure databases was presented in earlier research [46], [47]. Today, very advanced and advanced encryption methods are available.…”

Section: Resultsmentioning

confidence: 99%

Assimilating sense into disaster recovery databases and judgement framing proceedings for the fastest recovery

Shaik¹,

Kalyanasundaram²

2023

IJECE

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The replication between the primary and secondary (standby) databases can be configured in either synchronous or asynchronous mode. It is referred to as out-of-sync in either mode if there is any lag between the primary and standby databases. In the previous research, the advantages of the asynchronous method were demonstrated over the synchronous method on highly transactional databases. The asynchronous method requires human intervention and a great deal of manual effort to configure disaster recovery database setups. Moreover, in existing setups there was no accurate calculation process for estimating the lag between the primary and standby databases in terms of sequences and time factors with intelligence. To address these research gaps, the current work has implemented a self-image looping database link process and provided decision-making capabilities at standby databases. Those decisions from standby are always in favor of selecting the most efficient data retrieval method and being in sync with the primary database. The purpose of this paper is to add intelligence and automation to the standby database to begin taking decisions based on the rate of concurrency in transactions at primary and out-of-sync status at standby.

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Section: Resultsmentioning

confidence: 99%

Assimilating sense into disaster recovery databases and judgement framing proceedings for the fastest recovery

Shaik¹,

Kalyanasundaram²

2023

IJECE

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“…These tools cannot be adjusted in real time and have limited flexibility in modifying and analyzing the data stored in the source and target databases. Many solutions cannot provide a statistical perspective on connected databases on both sides [7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, when data are loaded for the first time, the complete load approach is employed, involving the complete cleaning of tables. In addition, when adding modified or new records to a target source, an incremental load is employed [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Relational Data Extraction and Transformation: A Study to Enhance Information Systems Performance

Hasan

Bakar

2022

JICCE

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The most effective method to improve information system capabilities is to enable instant access to several relational database sources and transform data with a logical structure into multiple target relational databases. There are numerous data transformation tools available; however, they typically contain fixed procedures that cannot be changed by the user, making it impossible to fulfill the near-real-time data transformation requirements. Furthermore, some tools cannot build object references or alter attribute constraints. There are various situations in which tool changes in data type cause conflicts and difficulties with data quality while transforming between the two systems. The R-programming language was extensively used throughout this study, and several different relational database structures were utilized to complete the proposed study. Experiments showed that the developed study can improve the performance of information systems by interacting with and exchanging data with various relational databases. The study addresses data quality issues, particularly the completeness and integrity dimensions of the data transformation processes.

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“…To succeed in the globalized environment, businesses must ensure the protection of their vital data. DBs can be safeguarded from unauthorized access [12][13][14]. When a DB is outsourced to the cloud, cloud platforms introduce security challenges such as unreliable service providers, malicious cloud employees, data protection, consistency, and scalability.…”

Section: Introductionmentioning

confidence: 99%

Advancing database security: a comprehensive systematic mapping study of potential challenges

et al. 2023

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The value of data to a company means that it must be protected. When it comes to safeguarding their local and worldwide databases, businesses face a number of challenges. To systematically review the literature to highlight the difficulties in establishing, implementing, and maintaining secure databases. In order to better understand database system problems, we did a systematic mapping study (SMS). We’ve analyzed 100 research publications from different digital libraries and found 20 issues after adopting inclusion and exclusion criteria. This SMS study aimed to identify the most up-to-date research in database security and the different challenges faced by users/clients using various databases from a software engineering perspective. In total, 20 challenges were identified related to database security. Our results show that “weak authorization system”, “weak access control”, “privacy issues/data leakage”, “lack of NOP security”, and “database attacks” as the most frequently cited critical challenges. Further analyses were performed to show different challenges with respect to different phases of the software development lifecycle, venue of publications, types of database attacks, and active research institutes/universities researching database security. The organizations should implement adequate mitigation strategies to address the identified database challenges. This research will also provide a direction for new research in this area.

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Estimate model of system management for database security

Cited by 4 publications

References 1 publication

Assimilating sense into disaster recovery databases and judgement framing proceedings for the fastest recovery

Assimilating sense into disaster recovery databases and judgement framing proceedings for the fastest recovery

Relational Data Extraction and Transformation: A Study to Enhance Information Systems Performance

Advancing database security: a comprehensive systematic mapping study of potential challenges

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