Network Attacks Detection Methods Based on Deep Learning Techniques

Data and application security is most essential in nowadays environment due to the advancement further as exchange of knowledge and communication techniques that generating new price extra services by completely different network threats. As a result, they developed numerous on-line services. However, cyber security threats are also growing because the contact points to the net are increasing. a big security issue nowadays is that the intrusion detection system (IDS). A Network Intrusion Detection System (NIDS) helps system directors notice violations of network security at intervals their operations. However, several issues arise once a strong and economical NIDS is developed for sudden and unpredictable attacks. During this work, a deep learning primarily based approach is to implement such a good and versatile NIDS. Through the performance check, it’s confirmed that the deep neural network is effective for NIDS. during this work,.