Visible to the public Secured aerial photography using Homomorphic Encryption

TitleSecured aerial photography using Homomorphic Encryption
Publication TypeConference Paper
Year of Publication2017
AuthorsSattar, N. S., Adnan, M. A., Kali, M. B.
Conference Name2017 International Conference on Networking, Systems and Security (NSysS)
Keywordsaerial photography, aerial photography security, Amazon EC2 cloud server, cloud, cloud computing, compositionality, concatenation, drone, drones, Encryption, homomorphic encryption, image capture, image encryption, Image quality, Metrics, multiagent system, NTRU, photography, pubcrawl, public key cryptography, public key cryptosystem, Resiliency, Scientific Computing Security, server, Servers

Aerial photography is fast becoming essential in scientific research that requires multi-agent system in several perspective and we proposed a secured system using one of the well-known public key cryptosystem namely NTRU that is somewhat homomorphic in nature. Here we processed images of aerial photography that were captured by multi-agents. The agents encrypt the images and upload those in the cloud server that is untrusted. Cloud computing is a buzzword in modern era and public cloud is being used by people everywhere for its shared, on-demand nature. Cloud Environment faces a lot of security and privacy issues that needs to be solved. This paper focuses on how to use cloud so effectively that there remains no possibility of data or computation breaches from the cloud server itself as it is prone to the attack of treachery in different ways. The cloud server computes on the encrypted data without knowing the contents of the images. After concatenation, encrypted result is delivered to the concerned authority where it is decrypted retaining its originality. We set up our experiment in Amazon EC2 cloud server where several instances were the agents and an instance acted as the server. We varied several parameters so that we could minimize encryption time. After experimentation we produced our desired result within feasible time sustaining the image quality. This work ensures data security in public cloud that was our main concern.

Citation Keysattar_secured_2017