| Title | Securing Big Data: A Survey on Security Solutions |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Habbak, Hany, Metwally, Khaled, Mattar, Ahmed Maher |
| Conference Name | 2022 13th International Conference on Electrical Engineering (ICEENG) |
| Keywords | Big Data, Big Data analytics, big data security in the cloud, cloud computing, Data analysis, electrical engineering, Encryption, Internet of Things, IoT security, Metrics, pubcrawl, resilience, Resiliency, Scalability, security |
| Abstract | Big Data (BD) is the combination of several technologies which address the gathering, analyzing and storing of massive heterogeneous data. The tremendous spurt of the Internet of Things (IoT) and different technologies are the fundamental incentive behind this enduring development. Moreover, the analysis of this data requires high-performance servers for advanced and parallel data analytics. Thus, data owners with their limited capabilities may outsource their data to a powerful but untrusted environment, i.e., the Cloud. Furthermore, data analytic techniques performed on external cloud may arise various security intimidations regarding the confidentiality and the integrity of the aforementioned; transferred, analyzed, and stored data. To countermeasure these security issues and challenges, several techniques have been addressed. This survey paper aims to summarize and emphasize the security threats within Big Data framework, in addition, it is worth mentioning research work related to Big Data Analytics (BDA). |
| DOI | 10.1109/ICEENG49683.2022.9781955 |
| Citation Key | habbak_securing_2022 |
Securing Big Data: A Survey on Security Solutions