Neuroevolution for effective information security training

Information security related training is extremely important nowadays for various organizations. But for the trainer, it is difficult to know the existing skill levels of trainees in information security area and their expectations from the training. As a result, to decide the time allocation for each level of training also becomes a difficult task for the trainer. To solve this challenge, present work proposes neuroevolution based algorithm. The algorithm can also be useful for online training or web service/mobile app based training. The trainer needs to execute the algorithm in pre-training time and based on the result he/she can adjust or modify training content and time allocation for each training level.