0000000001100943
AUTHOR
ÅSmund Kamphaug
A Generative Adversarial Approach for Packet Manipulation Detection
Master's thesis Information- and communication technology IKT590 - University of Agder 2018 Over the years, machine learning has been used together with intrusion detection systems to protect networks against different threats. The evolution of machine learning has exploded and there are new types of of machine learning algorithms being studied on different fields. Networks security is not one these fields that have the most research, and with the continuous change in the way attacks are appearing, machine learning in network security is more alluring than ever. The intention of this thesis is to present a solution that shows that using machine learning in intrusion detection domain is a wa…
Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations
Understanding of textual content, such as topic and intent recognition, is a critical part of chatbots, allowing the chatbot to provide relevant responses. Although successful in several narrow domains, the potential diversity of content in broader and more open domains renders traditional pattern recognition techniques inaccurate. In this paper, we propose a novel deep learning architecture for content recognition that consists of multiple levels of gated recurrent units (GRUs). The architecture is designed to capture complex sentence structure at multiple levels of abstraction, seeking content recognition for very wide domains, through a distributed scalable representation of content. To …