Online ISSN: 2515-8260

Author : Anand, Ajay


POLLUTION ATTACK DETECTION AND PREVENTION DURING FILE TRANSMISSION IN CLOUD ENVIRONMENT

Leelavathy S; Shobana R; Jaichandran R; Ajay Anand; Saravana .

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2931-2937

The software-defined network are vulnerable to malicious attacks, thus enhancing SDN based policies for the controllers to prevent vulnerability, malicious scripts is an hot research area. Thus improvising SDN policies can protect data owner confidentiality and trust. Thus in the existing system, security plays an important role and it’s a major concern during cloud migration. In the proposed system, we propose malicious packet detection algorithm to detect polluted files or malicious script during file transmission at the normal disk reading operations. If pollution attack is detected, the malicious IP is blocked and the file won’t be processed for further processing. In the proposed system, the pollution attack is prevented using hashing function, thus at the receiver end the hash value appended along with the file during transmission end is matched, if there is any difference the file is not allowed for further processing. Also the proposed system invokes creation of convincing file to protect data owner privacy by the cloud service providers from the government authorities.