CRSA cryptosystem based secure data mining model for business intelligence applications

Rajasekharaiah, K. M.; Dule, Chhaya S.; Srimani, Pradip K.

doi:10.1109/iceeot.2016.7754812

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…The new trends and risks are based on scenarios and in real time, where the business processes need to be executed under certain norms and good practices, which guarantee the reliability and availability of information [10,11]. As for the growth and sophistication of cyber-attacks, new scenarios have been presented in the face of certain security incidents, where control and reduction of response times are key aspects [12,13]. Therefore, it needs to be emphasized, that the technologies associated with BI have been growing and gaining improved positioning in certain techniques such as Data Mining and DW.…”

Section: Related Workmentioning

confidence: 99%

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

Fuertes

Collazo-Reyes

Valladares

et al. 2017

Systems

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Cyber-attacks have increased in severity and complexity. That requires, that the CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the design of an integral model based on Business Intelligence (BI), which provides reactive and proactive services in a CSIRT, in order to alert and reduce any suspicious or malicious activity on information systems and data networks. To achieve this purpose, a solution has been assembled, that generates information stores, being compiled from a continuous network transmission of several internal and external sources of an organization. However, it contemplates a data warehouse, which is focused like a correlator of logs, being formed by the information of feeds with diverse formats. Furthermore, it analyzed attack detection and port scanning, obtained from sensors such as Snort and Passive Vulnerability Scanner, which are stored in a database, where the logs have been generated by the systems. With such inputs, we designed and implemented BI systems using the phases of the Ralph Kimball methodology, ETL and OLAP processes. In addition, a software application has been implemented using the SCRUM methodology, which allowed to link the obtained logs to the BI system for visualization in dynamic dashboards, with the purpose of generating early alerts and constructing complex queries using the user interface through objects structures. The results demonstrate, that this solution has generated early warnings based on the level of criticality and level of sensitivity of malware and vulnerabilities as well as monitoring efficiency, increasing the level of security of member institutions.

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