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A Reliable Service Provided Model for Session Hijacking Attacks in Big Data Service Environments

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2016, 11(6), pp.597-606
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : December 31, 2016

Jae Yeong Choi 1 PARK JAE HEUNG 1 Seo Yeong Geon 1 suk won, Hong 2 KimSangBok 1

1경상대학교
2경남도립거창대학

Accredited

ABSTRACT

Today, big data environments in which a large quantity of data are produced and collected are managed based on cloud computing. In addition, the new data environment using big data is leading the development in a variety of information and service technologies in today’s society. However, this network environment can be vulnerable to session hijacking attacks, which exploit a valid computer session and use it to attack a server or computer system. This study classified different levels of stable services and sensitive information during session hijacking in a cloud computing environment in which various network services are provided, and encrypted the relevant services. To do so, the levels of values of session interruption data and access data were classified and combined in order to create an encryption bit pattern for each level. And then, the service levels related to data request at the time of an attack were analyzed so that the data are sent after encryption by using the bit pattern, instead of providing instant service. As a result, this study proposed a security model that improved both stability and availability of service against illegal access that can be found in the conventional network environment.

Citation status

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