Patient controlled encryption: ensuring privacy of electronic medical records

By Josh Benaloh, Melissa Chase, Eric Horvitz, Kristin E. Lauter. Cloud Computing Security Workshop, 2009

530 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/7831fe5c58a7dc29867af18f2c1d84cbb64e0493

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kui Ren
2. Wenjing Lou
3. Ming Li
4. Ning Cao
5. Samee Ullah Khan
6. Shucheng Yu
7. Assad Abbas
8. Kristin E. Lauter

In Computer Networks and Communications

1. J. Stankovic
2. Samee Ullah Khan
3. Matt Welsh
4. Kui Ren
5. Chenyang Lu
6. Wenjing Lou
7. Ming Li
8. Shucheng Yu

Citations in the corpus

• Authorized Private Keyword Search over Encrypted Data in Cloud Computing (2011, methodology): “To cope with the tough trust issues and to ensure owners’ control over their own privacy, applying data encryption on the documents before outsourcing has been proposed as a promising solution, which is already adopted by many recent works [26], [7], [24].”
• DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems (2013, methodology): “To prevent the untrusted servers from accessing sensitive data, traditional methods [19], [20] usually encrypt the data and only the users who hold valid keys can decrypt.”
• Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage (2014, background): “[8] describe an encryption scheme which is originally designed for concisely transmitting large number of keys in”
• Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption (2019, unknown): “Using ABE, access policies are expressed based on the attributes of users or data, which enables a patient to selectively share her PHR among a set of users by encrypting the file under a set of attributes, without the need to know a complete list of users.”
• Private Predictive Analysis on Encrypted Medical Data (2014, background): “In [1], patient controlled encryption (PCE) was proposed, allowing patients to outsource storage of their personal records in encrypted form.”
• Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings (2010, methodology): “To this end, the PHR data should be encrypted in addition to traditional access control mechanisms provided by the server [4].”
• A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, methodology): “The approaches presented in [46], [53], and [54] allow searching over the encrypted EHRs.”
• Wireless Sensor Networks for Healthcare (2010, background): “One answer to these problems can be to allow the study subjects and patients to retain control over their raw sensor data throughout its life cycle: its capture, sharing, retention, and reuse [ 7 ], [66].”
• Security and privacy in electronic health records: A systematic literature review (2013, methodology): “Of these, 25 articles indicate that the patient should grant access permissions [5,9,27,31,33–36,39,40,44,45,51–56,60,62,69–71,78,79].”