A Fuzzy Model for Selection of Information and Location-Based Security Attributes in Cloud Environment<bold> </bold>

Security is a prime concern in cloud computing-based environment in which user accesses resources remotely and pays on used bases. Nowadays, the information and location-based security is one of the most important issues to access these cloud resources. This paper proposed a fuzzy model for assigning weights to information and location-based security attributes (FMAW-ILSA). This model is used to assign an experienced-based fuzzy weight to security attacks attributes, information and location-based security attributes. The assigned weight helps in selection of information and location-based security attributes. The criteria for assigning the weights depend on the attribute frequencies. The motive behind this paper is to select the information and location-based security attributes which are less utilized in the existingwork such as information security (IS), data location and relocation (DLRL), phishing attack (PA), location tracking (LT) and location and control of data (LCD). The developed fuzzy model helps the researchers for better decision making in order to select information and location-based security attributes for future research to more enhance the cloud security.<bold> </bold>