Network intrusion detection system using deep neural networks
نویسندگان
چکیده
منابع مشابه
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to enhance the security of in-vehicular network. The parameters building the DNN structure are trained with probability-based feature vectors that are extracted from the in-vehicular network packets. For a given packet, the DNN provides the probability of each class discriminating normal and attack packets, a...
متن کاملDesign Network Intrusion Detection System using hybrid Fuzzy-Neural Network
As networks grow both in importance and size, there is an increasing need for effective security monitors such as Network Intrusion Detection System to prevent such illicit accesses. Intrusion Detection Systems technology is an effective approach in dealing with the problems of network security. In this paper, we present an intrusion detection model based on hybrid fuzzy logic and neural networ...
متن کاملReal-Time Network Intrusion Detection System Based on Neural Networks
Traditional Network Intrusion Detection Systems (NIDSs) use rules to detect intrusions, with these rules being updated manually by knowledgeable engineers. With today’s complex network environment, a new systematic method is desired to detect intrusions automatically. Data mining techniques can be used to add a systematic intrusion detection capability to NIDSs. Data Mining is concerned with un...
متن کاملFast Learning Neural Network Intrusion Detection System
Assuring the security of networks is an increasingly challenging task. The number of online services and migration of traditional services like stocktrading and online payments to the Internet is still rising. On the other side, criminals are attracted by the values of business data, money transfers, etc. Therefore, safeguarding the network infrastructure is essential. As Intrusion Detection Sy...
متن کاملDesigning Intrusion Detection System for Web Documents Using Neural Network
Cryptographic systems are the most widely used techniques for information security. These systems however have their own pitfalls as they rely on prevention as their sole means of defense. That is why most of the organizations are attracted to the intrusion detection systems. The intrusion detection systems can be broadly categorized into two types, Anomaly and Misuse Detection systems. An anom...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1804/1/012138