In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …

The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

With the evolution in wireless communication, there are many security threats over the
internet. The intrusion detection system (IDS) helps to find the attacks on the system and the …

Recent research trends definitely recognise deep learning as an important approach in
cybersecurity. Deep learning allows us to learn accurate threat detection models in various …

The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

With the increase of network traffic and the highly uneven distribution of data, it is very
difficult to make the boundary between normal behavior and abnormal behavior. The …

As the arms race between the new kinds of attacks and new ways to detect and prevent
those attacks continues, better and better algorithms have to be developed to stop the …

Over time, the amount of information handled over the Web has increased due to the
consistent growth in the application of innovation. The massive amount of data being …

Journal of Scientific Research & Engineering Trends Page 1 © 2020 IJSRET 3511
International Journal of Scientific Research & Engineering Trends Volume 7, Issue 6, Nov-Dec-2021 …

This paper delves into the utilization of deep learning (DL) techniques for the task of
multiclass anomaly detection within the" IoT_GPS_Tracker" dataset, resulting in an …