Enhancing Big Data Security using Elliptic Curve Cryptography
| Title | Enhancing Big Data Security using Elliptic Curve Cryptography |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Gupta, Shubhi, Vashisht, Swati, Singh, Divya, kushwaha, Pradeep |
| Conference Name | 2019 International Conference on Automation, Computational and Technology Management (ICACTM) |
| Date Published | apr |
| Keywords | Big Data, big data analytics., big data security, Data analysis, data configuration, data distribution, data processing technology, Elliptic curve cryptography, Indium tin oxide, map reduce Hadoop, Metrics, pubcrawl, public key cryptography, resilience, Resiliency, Scalability, Security and Privacy, security of data, Servers |
| Abstract | Withgrowing times and technology, and the data related to it is increasing on daily basis and so is the daunting task to manage it. The present solution to this problem i.e our present databases, are not the long-term solutions. These data volumes need to be stored safely and retrieved safely to use. This paper presents an overview of security issues for big data. Big Data encompasses data configuration, distribution and analysis of the data that overcome the drawbacks of traditional data processing technology. Big data manages, stores and acquires data in a speedy and cost-effective manner with the help of tools, technologies and frameworks. |
| DOI | 10.1109/ICACTM.2019.8776764 |
| Citation Key | gupta_enhancing_2019 |
- map reduce Hadoop
- Servers
- security of data
- security and privacy
- Scalability
- Resiliency
- resilience
- public key cryptography
- pubcrawl
- Metrics
- Big Data
- Indium tin oxide
- Elliptic curve cryptography
- data processing technology
- data distribution
- data configuration
- data analysis
- big data security
- big data analytics.