Tactile Internet to the Development of Smart Cities – Issues, Methods, and Solutions

​

The rapid development in communication and networks makes real-time interaction possible in the human environment is named as Tactile Internet. This is considered to be a revolutionary technology that can support haptic delivery, surprisingly with the 1ms latency by the support of 5G technology. The purpose of this research is to enlighten the technologies that will revolutionize the living standard of human life. The Tactile Internet is the evolution of IoT that is under development, which turns out to be reliable and efficient technology. Apart from that, this revolution in technology is the communication method, which is expected to create a potential market for new business and have the power to change the world’s economy as well as the lifestyle of people. Since wireless technologies from the voice to multimedia content delivery played an important role, the Tactile Internet can outperform the traditional way of communication. Unlike the conventional Internet, the Tactile Internet enables the (H2M) Human to machine interaction in real-time; this will provide a medium for delivering touch and actuation at ultralow latency. The new dimension will appear in human life as virtual and augmented reality in the education system, which seems to be an effective and efficient technology for students in multiple applications like real-time distance learning. Further, it can be used for smart energy systems where power consumption is optimized by using an intelligent monitoring system, industrial automation, robotics, and telepresence. Moreover, robotic and telepresence will help to diagnose patients’ health and perform surgeries and teleoperations by using robotic touch called Haptic Communication. Currently, tactile internet is an emerging and developing technology that will be used with the support of 5G wireless technology. This paper highlights the current issues, methods, and possible solutions of Tactile Internet in order to develop smart cities.

​

(Initially, the paper was presented at a conference, later was uploaded as a blog)

​

​

​

​

Network Intrusion Detection Techniques using Machine Learning

​

With the rapid development and an increasingly vital role of technology in the interconnected world, security is among the most significant concerns. Among numerous solutions, Intrusion detection systems (IDS) is considered one of the optimum system for detecting a different kind of attacks. In this paper, we have tried to present a comprehensive study on Network Intrusion detection system (NIDS) techniques using Machine Learning (ML). Based on our study of recent research we have highlighted the latest techniques of NIDS using ML techniques and approaches, the common attacks that they can detect, and their issues. The purpose of this study is to share the collected information in a way that is more comprehensive and can provide an overview of the current standing of ML-based NIDS.

​