AI and Ml based systemic analysis on Highly Advanced Life Threatening Cybernetics for Future Wireless Network

Over the past decades, the telecommunication industry has developed many folds due to industrial revolution, by which helping human race with vast number of possibilities, exploring in-numerous fields such as medicine, defense, education, research, world economy, etc. Now, the places which never even know the human touch were accessible through radio signal communication starting from deep water to Mars which continue into other galaxies, mean while Mobile phones become a necessity reaching every nook and corner of the world. The feasibility of 5G technology allows connecting every instrument, machine, devise and even living being through Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), Artificial Intelligence (AI), Machine Learning (ML), medical body implantation etc. to bring end to end or peer to peer connection between Machine to Machine (M2M), Vehicle to Vehicle (V2V), Device to Device (D2D) or in hybrid communication mode. As important as the sophistication grows, the possibility to suffocation threatens. Due to the vital nature and need for such technological advancement, it is inevitable to imagine life without it. This research is focused on high level threats which next generation Future Wireless Networks (FWN) are about to face and current scenarios to deliberate the protocols and standardization to such vulnerabilities and protection of big data resources from the cyber-attacks forming Highly Advanced Life-threatening Cybernetics (HALC). The significance of the green technology for safeguarding environmental resources by creating tailor made technological Green Business Models (GBM) were introduced for the future generation’s social wellbeing.