Our paramount task is to examine and detect network attacks, is one of the daunting tasks
because the variety of attacks are day by day existing in colossal number. The program …

Our paramount task is to examine and detect network attacks that are one of the daunting
tasks because the variety of attacks are day by day existing in colossal number. The …

One of the latest emerging technologies is artificial intelligence, which makes the machine
mimic human behavior. The most important component used to detect cyber attacks or …

Keeping computers secure is becoming challenging as networks grow and new network‐
based technologies emerge. Cybercriminals' attack surface expands with the release of new …

Network security risks are increasing at an exponential rate as Internet technology
advances. Keeping the network protected is one of the most challenging of network security …

Network traffic has recently known tremendous growth, and it is set to explode over the next
few years. Alongside the increase in traffic, network attacks have become more complex …

Abstract Machine learning algorithms efficiently trained on intrusion detection datasets can
detect network traffic capable of jeopardizing an information system. In this study, we use the …

Intrusion detection is one of the most prominent and challenging problem faced by
cybersecurity organizations. Intrusion Detection System (IDS) plays a vital role in identifying …

Network Intrusion Detection is one of the most researched topics in the field of computer
security. Hacktivists use sophisticated tools to launch numerous attacks that hamper the …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …