Journal of Cybersecurity and Information Management
  JCIM
  2690-6775
  2769-7851
  
   10.54216/JCIM
   https://www.americaspg.com/journals/show/609
  
 
 
  
   2019
  
  
   2019
  
 
 
  
   Information Security Assessment in Big Data Environment using Fuzzy Logic
  
  
   Department of IT, IMS Noida, India 
   
    Kanika
    Kanika
   
   Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India
   
    Achyut
    Shankar
   
   Department of Computer Science & Engineering,  Amity University Uttar Pradesh, Noida, India
   
    Prabhishek
    Singh
   
  
  
   In recent years, it has been observed that disclosure of information leads to the risk. Without restrict the accessibility of information providing security is difficult. So, there is a demand of time to fill the gap between security and accessibility of information. In fact, security tools should be usable for improving the security as well as the accessibility of information. Though security and accessibility are not related directly, but some of their factors indirectly affect each other. Attributes play an important role in connecting the gap among security and accessibility. In this paper, finds the main attributes of security and accessibility that impact directly and indirectly each other such as confidentiality, integrity and availability and severity. The significance of every attribute in terms of their weight is important for their effect on the overall security during the big data security life cycle process. To calculate proposed work, researchers used the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). 
  
  
   2021
  
  
   2021
  
  
   29
   42
  
  
   10.54216/JCIM.050103
   https://www.americaspg.com/articleinfo/2/show/609