Big data quantum private comparison with the intelligent third party

Abstract

Big data is often thought as a large number of virous unstructured forms of data. Expensive intelligent computing engineering techniques of critical systems that are not cost-effective for non-critical systems may sometimes be used as a intelligent protection system. The private comparison is to compare the equality of the secret information of two parties privately, without disclosing any actual information. These secret information of two parties are big data that need to be analysed for comparison privately in critical system. Quantum private comparison is more safer than classic private comparison based on the theory of quantum mechanics. In this paper, a big data quantum private comparison scheme with intelligent third party is proposed. Two distrustful parties Alice and Bob compare the equivalence of big data information by quantum computing with the help of the intelligent robot belonged to a semi-honest third party Calvin. The participants including the intelligent robot are just required having the ability to prepare photons and perform measurement, which makes the presented protocol be more feasible in technique. The transmitted particles is in the anticlockwise order with a circle that make the transferred private information to be more safe. The technique of entanglement swapping makes the comparison be achieved with the help of the intelligent robot. Due to the photon transmission is a one-way distribution, the Trojan horse attack can be automatically avoided. It is secure against the various well-known attacks.

The potential of IoT in redesigning the bank branch protection system

“…The term IPS is commonly used in technical fields such as electricity, meaning systems used to protect electrical networks and equipment in specific areas such as power systems (Islam and Gabbar, 2012; Li et al , 2013; Yazdani-Asrami et al , 2015). IPSs are also proposed to protect water from radioactive pollution (Li et al , 2011), cars from accidents (Ezell et al , 2013; Deng and Jian, 2014), software privacy (Tan et al , 2015) and other technical equipment such as conveyor belt and operations that are personnel based from accidents and attacks (Xu et al , 2012; Yu and He, 2015). No papers are present in the literature that relate the IPS to BB protection.…”

Editorial: security and reliability of critical systems

“…Simulation is also adopted to reproduce the set of transaction activities. In Tan et al (2015), authors propose an artificial intelligence based approach to protect big data, which can be implemented in the command and control applications of critical systems. The presented solution can be used to analyze a very huge amount of data to detect unsafe schema.…”