The Revelation of Insider Attacks Through Two-Step Intrusion Revelation Algorithm

Big data stores a vast amount of data in the provider's infrastructure facility. The user is always reluctant in trusting a third party to save his/her sensitive information due to security concerns. There is a lack of focus on the leakage of confidential information by an insider. The work here is to detect these insider attack employing a two-step intrusion revelation algorithm and constructing a shielded communication channel for each of the processes to be executed in the system. In the first step, each of the processes passes through a controlled instruction sequence. The result of the chain is compared against the process stored in the duplicate nodes. Hence the system can be used to check the level of security in any big data workflow system.