Wikipedia defines Edge Computing as the technology that pushes “the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. It enables analytics and data gathering to occur at the source of the data. This approach requires leveraging resources that may not be continuously connected to a network such as laptops, smartphones, tablets and sensors.”
Simply put, edge computing is a technology to bring memory and computing to close to the location where it is required. The data is not sent across long routes to data centres or the clouds. The data stays in a place where it is created.
Some popular examples of this technology are switches, IoT devices, routers, IADs, MAN and WAN.
This is beneficial as it lets organizations like health care, telecom and finance process their important data in near real-time.
Physical Security:
Generally, edge computing is located near people on the site. Therefore, it is obvious to worry about security. It requires an organization to equip their systems with a camera or sensors to deter any unwanted tampering. Advanced edge computing solutions like microdata centers are pretested for functions like cybersecurity and, just as importantly, are created with physical security as a topmost priority. They come in durable rack enclosures, motion sensors, and secure locking systems.
Weak Passwords:
Most edge devices like IoT systems have web-based interfaces requiring users to log in to adjust settings, install updates and do other general tasks. These interfaces have a default password that should be changed by the users. Not all users change these passwords. This is why edge computing devices are vulnerable to hackers.
Poor Maintenance:
Most organizations skip the maintenance of their devices. It is important to update them to prevent breakdown and security issues as well.