Anonymous Data Sharing Between Organisations with Elliptic Curve Cryptography

Abstract

Promoting data sharing between organisations is challenging, without the added concerns over having actions traced. Even with encrypted search capabilities, the entities digital location and downloaded information can be traced, leaking information to the hosting organisation. This is a problem for law enforcement and government agencies, where any information leakage is not acceptable, especially for investigations. Anonymous routing is a technique to stop a host learning which agency is accessing information. Many related works for anonymous routing have been proposed, but are designed for Internet traffic, and are over complicated for internal usage. A streaming design for circuit creation is proposed using elliptic curve cryptography. Allowing for a simple anonymous routing solution, which provides fast performance with source and destination anonymity to other organisations.

A Secure Incentive Mechanism for Competitive Organization Data Sharing: A Contract Theoretic Approach

“…A query function f (i) = count(i) can get the number of persons with cancer in the first i line. Whether Alice has cancer or not can be calculated by count(5)−count (4). However, function f can provide ε-differential privacy such as f (i) = count(i)+noise.…”

“…f (4) can output any item in {2, 2.5, 3} with the almost same probability. Thus, the attacker cannot obtain the result he wants by conducting count(5)−count (4). Therefore, the privacy of the dataset is protected by ε-differential privacy.…”

“…For example, the sharing of scientific data can improve the progress of scientific activities and offer a redundant backup for valuable scientific resources [3]. The financial sectors would like to pool together their data to detect illegal activities and avoid network attacks [4]. Hospitals would like to share data to train a model predicting flu outbreaks, which can improve the response to epidemics and contain the outbreaks [1].…”

“…However, these sectors are often driven by profit and discovering the next super drug so that they refuse to share data [6], [7]. Secondly, data sharing brings huge privacy security risks [4]. During data sharing, data is disclosed and individual's privacy is inevitably compromised [7], [8].…”

Implementation Methodology of ECC to Overcome Side Channel Attacks

“…Timing attacks fault injection attacks electromagnetic attacks Many mathematical fault models presented in several publications are found to be difficult to implement in real life [4] High precision measuring and fault injection tools are required by bit fault models. The cost involved in implementing that algorithm is very higher and also the system that is proposed in this paper is perfect when it is compared with the protocols that are used in the existing system as countermeasures.…”