Chao  Li

  • Chao Li and Balaji Palanisamy, "Timed-release of Self-emerging Data using Distributed Hash Tables", Proc. of 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, USA. (PDF)
  • Chao Li and Balaji Palanisamy, "Emerge: Self-emerging Data Release using Cloud Data Storage", Proc. of 10th IEEE International Conference on Cloud Computing (Cloud 2017), Honolulu, USA. (PDF)



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In the age of Big Data, advances in distributed technologies and cloud storage services provide highly efficient and cost-effective solutions to large scale data storage and management. 
Supporting self-emerging data using clouds is a challenging problem. While straight-forward centralized approaches provide a basic solution to the problem, unfortunately they are limited to a single point of trust. Supporting attack-resilient timed release of encrypted data stored in clouds requires new mechanisms for self emergence of data encryption keys that enables encrypted data to become accessible at a future point in time. Prior to the release time, the encryption key remains undiscovered and unavailable in a secure distributed system, making the private data unavailable.
In this paper, we propose \textit{Emerge}, a self-emerging timed data release protocol for securely hiding data encryption keys of private encrypted data in a large-scale Distributed Hash Table (DHT) network that makes the data available and accessible only at the defined release time. 
We develop a suite of erasure-coding-based routing path construction schemes for securely storing and routing encryption keys in DHT networks that protect an adversary from inferring the encryption key prior to the release time (release-ahead attack) or from destroying the key altogether (drop attack). 
Through extensive experimental evaluation, we demonstrate that the proposed schemes are resilient to both release-ahead attack and drop attack as well as to attacks that arise due to traditional churn issues in DHT networks.