Lakhasly

1.For this pur- pose, it is important to implement innovative and creative tools and techniques that ensure vulnerability management, intrusion detection, and prevention.Introduction Edge computing is a distributed information technology architecture in which the client's data is processed at the network's periphery, which means the processing is done near the point where the data has been originally generated [1].Secu- rity must be extended to IoT devices and sensor devices, as every device connected to this cloud network can get hacked by unauthorized users.The rush of data can be controlled and managed with an ap- propriate system that ensures data is protected from unauthorized access and can be operated in real-time from different locations and connected devices.Other risks may be related to data storage, perimeter defense, authentication, physical attacks, mali- cious hardware/software injections, and many more.Managing the data flow by integrating a traditional cloud computing network is challenging.

1. Introduction
   Edge computing is a distributed information technology architecture in which the client’s data is processed at the network’s periphery, which means the processing is done near the point where the data has been originally generated [1]. Data is considered one of the major assets of modern businesses that provide valuable insights and are also integral in making important decisions to run business op- erations smoothly. The rush of data can be controlled and managed with an ap- propriate system that ensures data is protected from unauthorized access and can be operated in real-time from different locations and connected devices. Managing the data flow by integrating a traditional cloud computing network is challenging. That’s why there is a need for edge computing in cloud networks, so

a proper flow of information is ensured. The data processing and analysis process is completed at the point where the data is originally generated instead of trans- mitting the raw data to a central data center.
Security of data and resources is the most important thing to consider, no matter what field or industry it is. Similarly, edge computing also demands the security of shared data among all the connected devices and users. For this pur- pose, it is important to implement innovative and creative tools and techniques that ensure vulnerability management, intrusion detection, and prevention. Secu- rity must be extended to IoT devices and sensor devices, as every device connected to this cloud network can get hacked by unauthorized users. Other risks may be related to data storage, perimeter defense, authentication, physical attacks, mali- cious hardware/software injections, and many more. This research aims to con- duct a literature review of past studies focusing on edge computing in cloud net- works, so that the security implications can be understood deeply. Figure 1 shows how edge computing works.