Optimizing IoT Security by Implementing Artificial Intelligence
By Liqaa Nawaf
The Internet of Things (IoT) is growing rapidly in the markets and changing business strategies, while cyber-threats that target IoT devices are increasing. Consequently, optimizing and supporting IoT security to increase the resilience of our society is essential. The cyber risk for businesses that design, manufacture, service or use IoT products is growing, creating a crucial climate for privacy and online security amid great concern from the perspective of the end-users of the IoT.
Thus it is urgently necessary for sophisticated developers worldwide in the IoT market to design IoT technology that will be robust and secure. In this era, IoT and mobile networks that depend on collecting and analyzing tremendous amounts of data are expanding and becoming more fascinating. Over time, even more data will be collected, stored and shared across devices and platforms. Without taking proper security measures, every piece of data we generate, whether purposely or passively, will be open to identity theft, financial gain, and possibly even damage to human health.
The amount of data continues to grow, creating an urgent need for data storage and data calculation to be located in devices that are secure from criminal attack and carry reduced risk. The variety of data will have to be supervised and directed by regulatory, privacy and security constraints. Otherwise, technologies such as the IoT will be at risk due to the vulnerabilities of the implementation and design of IoT structures.
Developing and implementing a technical model will support the social and healthcare sector in providing highly sophisticated technology: thus Artificial Intelligence (AI) will build machines in IoT technology that will take over the world. AI is the future technology that revolves around the use of algorithms; for example, metaheuristic algorithms are being implemented to construct the secure placement of technology. Many metaheuristic techniques try to mimic biological, physical and natural phenomena.
These metaheuristic techniques, which have become increasingly common for researchers in the optimization field, perform well in most practical situations. Some heuristic and metaheuristic algorithms have been applied to solving network optimization problems. The essential procedures are borrowed from genetics and used artificially to make frameworks for search algorithms that are solid and require minimum information about the problem.
With well-designed safeguards, IoT could provide better health care services and improve social and clinical decisions. In this field, IoT can function well by proposing standalone devices and application for the diagnosis of many diseases and use AI to predict their future course. Therefore, the protection of security will continue to be critical for those who use and store data.
This is an opportunity for IoT developers, especially those who may have been working on software projects, to get involved in the evolution of AI. There should also be a research focus on developing techniques and algorithms to improve the performance and efficiency of IoT security and develop metaheuristic algorithms to select and configure IoT research. This research will ensure that the latest developments in Artificial Intelligence will be within our grasp.
Implementing metaheuristic algorithms will provide a technical model that is applied in the IoT and can achieve impressive results. The proposed idea for the application of AI is the most efficient way of adding to the security of end-users, to the benefit of everyone. Hence, to optimize the privacy and security of the IoT end-users, the vulnerabilities of devices must be considered and technical solutions found for them at an early stage. These techniques need efficient action from both internet service providers and the manufacturers of devices. Then, once the internet service provider and the manufacturers of devices team up to develop the ethical privacy and security of the IoT technology, the software and hardware will be both secured and legitimated.
The efficient and secure deployment of IoT products, by using metaheuristic algorithms will produce excellent solutions, no matter where they are used in utmost use-cases.