The paper proposes a tool for non-intrusive testing of open data sources for detecting their
vulnerabilities, called ShoBeVODSDT (Shodan-and Binary Edge-based vulnerable open …

This study aims to analyze the state of the security of open data databases, ie being
accessible from the outside of organization, representing both relational databases and …

It is essential to ensure the data security of data analytical frameworks as any security
vulnerability existing in the system can lead to a data loss or data breach. This vulnerability …

With the growth and increasing sophistication of the Internet and the increasing
dependence, it appeared more and more services over the Internet-based database, so it …

Nowadays, there are billions interconnected devices forming Cyber-Physical Systems
(CPS), Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an …

A Vulnerability Management system is a disciplined, programmatic approach to discover
and mitigate vulnerabilities in a system. While securing systems from data exploitation and …

Open Source Intelligence (OSINT) is the process of using tools and information to passively
learn enough information about an organization to begin the cyber attack cycle. OSINT …

Cyber crime over big data is expand with unprecedented rate that badly affects the Internet
industry and the global data. Progressively sophisticated attack and offensive methods used …

Increasingly organizations are collecting ever larger amounts of data to build complex data
analytics, machine learning and AI models. Furthermore, the data needed for building such …

Cloud computing is an Internet-based technology that emerging rapidly in the last few years
due to popular and demanded services required by various institutions, organizations, and …