There are many challenges in the area of cyber attribution. It is easy and useful for an actor to perform deception, hindering the decision making ability of standard machine learning models to identify the actor as demonstrated in Chap. 2. Structured argumentation-based frameworks like DeLP can help alleviate deception to some extent by providing arguments for the selection of a particular actor/actors responsible for the attack based on the evidence. In Chap. 5, we provided results showing how such models afford significant performance improvements over approaches based solely on machine learning techniques.