Intrusion detection systems (IDS) are used in analyzing huge data and diagnose anomaly
traffic such as DDoS attack; thus, an efficient traffic classification method is necessary for the …

Cybercrime has led to the loss of billions of dollars, the malfunctioning of computer systems,
the destruction of critical information, the compromising of network integrity and …

In the modern world of interconnected systems, network security is gaining importance and
attracting a lot of new research and study. Intrusion detection systems (IDSs) form an integral …

Intrusion detection systems (IDS) play a critical role in safeguarding computer networks
against unauthorized access and malicious activities. However, traditional IDS approaches …

In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

Internet evolution produced a connected world with a massive amount of data. This
connectivity advantage came with the price of more complex and advanced attacks …

Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …

Intrusion detection systems (IDSs) are one of the promising tools for protecting data and
networks; many classification algorithms, such as neural network (NN), Naive Bayes (NB) …