Abstract
Nowadays, there are billions interconnected devices forming Cyber-Physical Systems (CPS), Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an increasing number of devices and systems in use, amount and the value of data, the risks of security breaches increase. One of these risks is posed by open data sources, which are databases that are not properly protected. These poorly protected databases are accessible to external actors, which poses a serious risk to the data holder and the results of data-related activities such as analysis, forecasting, monitoring, decision-making, policy development, and the whole contemporary society. This chapter aims at examining the state of the security of open data databases representing both relational databases and NoSQL, with a particular focus on a later category.
| Original language | English |
|---|---|
| Title of host publication | Big Data and Decision-Making |
| Subtitle of host publication | Applications and Uses in the Public and Private Sector |
| Place of Publication | Bingley |
| Publisher | Emerald Publishing Limited |
| Pages | 59-73 |
| Number of pages | 15 |
| ISBN (Electronic) | 9781803825519 |
| ISBN (Print) | 9781803825533 |
| DOIs | |
| Publication status | Published - 30 Jan 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Big data
- Database
- Internet of Things Search Engine
- NoSQL
- OSINT
- Penetration testing
- Search Engines for the Internet of everything
- Secure by design
- Security
- Vulnerability
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