Unlawful action on a digital network is referred to as a network obtrusion. Obtrusions on networks frequently entail the theft of valuable network resources and virtually always compromise network and/or data security. We proposed a deep learning method for identification obstruction considering a NSL-KDD dataset. Logistic regression method considered for identification by pre processing a dataset. Obtrusion occurs when a hacker attempts to get access to your system, and a network obtrusion detection system is a system that identifies such obtrusions. Because it monitors packets on a network cable and its primary goal is to determine whether a cracker or hacker is attempting to get into the system.