Cloud Computing is a favored choice of any IT organization in the current context since that
provides flexibility and pay-per-use service to the users. Moreover, due to its open and …

Intrusion detection has been widely studied in both industry and academia, but cybersecurity
analysts always want more accuracy and global threat analysis to secure their systems in …

Intrusion Detection is one of the fields network security important for industry 4.0. Applying
deep learning models opened a new scope in this field. But availability of latest data set and …

In today's world, Network and System Security are of paramount importance in the digital
communication environment. To avoid breaches, it is badly needed for a security …

Cyber-threats have become a devastating issue in the era of technically advanced world
where data and information are strenuously used for predictive analytics. To prevail over this …

Cyber attacks are a very common issue in the modern world, and since there is a growing
array of challenges in accurately detecting intrusion, this results in damage to security …

Intrusion Detection in cloud platform is a challenging problem due to its extensive usage and
distributed nature that are constant targets of new and unknown attacks. Intrusion detection …

Deep Residual Networks (ResNets) are prone to overfitting in problems with uncertainty,
such as intrusion detection problems. To alleviate this problem, we proposed a method that …

Today, the scale of global Internet users continues to grow; the Internet has become the
main driver of global economic growth; IoT technology is also constantly pushing the …

Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …