Homomorphic Encryption Scheme Based on Elliptic Curve Cryptography for Privacy Protection of Cloud Computing
Title | Homomorphic Encryption Scheme Based on Elliptic Curve Cryptography for Privacy Protection of Cloud Computing |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Hong, M. Q., Wang, P. Y., Zhao, W. B. |
Conference Name | 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS) |
Date Published | apr |
Keywords | cloud computing, Cloud Security, composability, compute complexity, data privacy, Data security, Elliptic curve cryptography, Elliptic curve cryptography (ECC), Elliptic curves, encrypted outsourcing data, Encryption, GPS data, GPS data of the earthquake, homomorphic encryption, homomorphic encryption scheme, Metrics, plain text attack, privacy protection, pubcrawl, public environments, public key cryptography, Resiliency, secure multiparty computation, semantic security, trusted third party, TTP, user privacy data protection |
Abstract | Cloud computing is becoming the main computing model in the future due to its advantages such as high resource utilization rate and save high cost of performance. The public environments is become necessary to secure their storage and transmission against possible attacks such as known-plain-text attack and semantic security. How to ensure the data security and the privacy preserving, however, becomes a huge obstacle to its development. The traditional way to solve Secure Multiparty Computation (SMC) problem is using Trusted Third Party (TTP), however, TTPs are particularly hard to achieve and compute complexity. To protect user's privacy data, the encrypted outsourcing data are generally stored and processed in cloud computing by applying homomorphic encryption. According to above situation, we propose Elliptic Curve Cryptography (ECC) based homomorphic encryption scheme for SMC problem that is dramatically reduced computation and communication cost. It shows that the scheme has advantages in energy consumption, communication consumption and privacy protection through the comparison experiment between ECC based homomorphic encryption and RSA&Paillier encryption algorithm. Further evidence, the scheme of homomorphic encryption scheme based on ECC is applied to the calculation of GPS data of the earthquake and prove it is proved that the scheme is feasible, excellent encryption effect and high security. |
URL | https://ieeexplore.ieee.org/document/7502281 |
DOI | 10.1109/BigDataSecurity-HPSC-IDS.2016.51 |
Citation Key | hong_homomorphic_2016 |
- Homomorphic encryption
- user privacy data protection
- TTP
- trusted third party
- semantic security
- secure multiparty computation
- Resiliency
- public key cryptography
- public environments
- pubcrawl
- privacy protection
- plain text attack
- Metrics
- homomorphic encryption scheme
- Cloud Computing
- GPS data of the earthquake
- GPS data
- encryption
- encrypted outsourcing data
- Elliptic curves
- Elliptic curve cryptography (ECC)
- Elliptic curve cryptography
- Data Security
- data privacy
- compute complexity
- composability
- Cloud Security