The internet consists of many networks connected by the BGP protocol and can easily be manipulated by a hacker. Every day, hackers reroute internet traffic and use that to impersonate entities such as companies, devices and humans. To detect this rerouting, which is also know as a route leak, a BGP monitor can be used. A BGP monitor checks whether the local route is correct by comparing the local route to the route from hundreds of devices. The lower the percentage of the routes that are the same, the bigger the chance there is a route leak. Hence, a user can tell whether a hacker manipulated the route. This project aims to build a BGP monitor application, that will ease the process of finding whether a hacker rerouted a part of the internet. To achieve this, the Internet Monitor application has been developed. In the Internet Monitor, an admin can add different types of tasks that will be run by the devices. This input will then be transmitted to the backend and to the database, where they will be stored. After some time, the backend will send out the tasks to the nodes. The nodes will execute the task and send back the results to the backend. These results can then be used to check whether the information from BGP servers or the local result is the same, and thus not manipulated. Apart from this, Internet Monitor also offers the possibility to see the map of all the real-time traffic between devices.

The online presence of e-commerce platforms, publishers, and other businesses has been increasing with the rise of internet use. These companies regularly expose their (potential) customers to massive amounts of media and products. It is vital for these companies to elicit interactions from these individuals in order to sell products or subscriptions. Engagement with online items, such as articles or products, are often measured using clicks. A well-known and proven method for improving online interactions is the use of clickbait. However, this practice is known to degrade the reputation of businesses. Widespread use of obvious clickbait is, therefore, not a sustainable solution for reputable companies. Research into alternative solutions to foster engagement is mostly taken from the perspective of the consumer. These solutions mainly involve various recommender algorithms that match consumers with items and articles that interest them. However, research from the perspective of the producer is extremely limited. The producer of the content has different incentives than the consumer of the content. Their main goal is to elicit an interaction from the consumer, while the consumers' main goal is to find something that interests them. In this thesis, inspired by the work on personalization for consumers, we make the producer the main stakeholder. We explore whether the personalization of subject lines for groups of users with similar behaviour patterns and interests improves the engagement of consumers on newsletters. With the digital marketing company Basedriver as the use case, we personalized the headlines of marketing e-mails in newsletters and performed experiments to analyse the effectiveness of our technique. We hypothesise that e-mail marketeers can improve engagement by personalizing subject lines to address the personal interests of consumers. By looking at the content of articles previously clicked by consumers, they can be grouped into user groups with similar interests. Information on the interests of users from these groups can then be leveraged to generate a subject line addressing the interests of the group. The historic customer behaviour data and platform used for the validation of our new personalization strategy was provided by Basedriver and Hearst, who assisted in the research. Basedriver also provides the platform for collecting the data from the experiment.