The Network Predictors: Monitoring Network Measurements To Predict Corporate Performance Before It Is Public Knowledge

Network measurments are mostly used to studynetwork topology, performance and security. The thesis uses network measurements in relation to large Internet corporations like Salesforce, Netflix and Snapchat. The thesis attempts to verify whether it is possible to predict company performance by monitoring network measurements. For the three...

Effectiveness of Market Segmentation techniques using Data Sharing in the Telecom industry

Since the start of the 21st century, the amount of captured data has been continuously increasing in this digital age. With almost 2.5 quintillion bytes of data being generated and captured every day (Liang et al., 2018), researchers and companies have a strong interest in exploring the value that can be created with this data, called big data...

Enabling Data Marketplaces with Multi-Party Computation (MPC): An Exploratory Study investigating the Implication of the Maturation of Multi-Party Computation (MPC) technology to the Architecture and the Threat Landscape of the Data Marketplaces

The emergence of the Data Marketplaces is the latest iteration in the phenomenon of data-driven transformation of the world. Data marketplaces have emerged as a new form of data-driven business models which enable trading of data between the data owners/providers and data consumers by providing the necessary technological and non-technological...

An Empirical Study into Factors that Create Configuration Inconsistencies between IPv4 and IPv6 Systems: Identifying the Managerial and Scientific Implications

In this study, a analysis was performed to analyze why there are differences in port configuration between IPv4 and IPv6. For this, the current state of adoption and implantation processes of IPv6 were researched. Currently, 4,8% of all dual-stack hosts have a different configuration in open ports on IPv4 and IPv6. To discover the reasoning...

CAML-IDS: A framework for the correct assessment of machine learning-based intrusion detection systems

The Internet is a relatively new technology that the world has become immensely dependent on. It is a tool that makes it possible to simplify our lives and better our society. But as with many things, there are people who with to exploit this tool we have for their own malicious gain. One of the mechanisms that we can use for protection against...