Role of AI To Predict IoT Threats

It goes without saying that how much every industry is embracing the Internet of Things (IoT) solutions to ease up their operations. Among so much hustle we have to keep in mind one thing that this technology is yet at its advanced stage, it requires a lot to make it mature, many manufacture and users don’t consider it secure yet so they think twice before incorporating it as a part of their strategy. In IoT security consists of a lot of space, it is not only restricted to safeguard data but also addressing other vulnerabilities that still persist within many IoT devices.

To put it simply, with medical devices with infusion pumps the focus should be on the main functionality of the device instead of security. Intelligence devices that are used in homes or offices are not capable of providing top-notch enterprise-level security. Hackers can easily decipher the security of the devices if a wrong username or password is being entered or if you use a poor authentication protocol. The main concern is this type of security issue is like the tip of the iceberg.

In "All Things Considered: An Analysis of IoT Devices on Home Networks" (Kumar, Deepak, et al. 28th USENIX Security Symposium, 2019), revealed the presence of 82 million IoT devices in 16 million homes across the world. Those smart devices include home appliances, gaming devices, surveillance, voice assistants, and other devices that presented serious security concerns. Many devices have been configured using weak passwords, some even have default administrative credentials about which the users were unaware.

New Security Approach for New Set of Threats

The regional and national governments are aware of the security issues faced by individual users and different companies, to harness the situation they are introducing legislation. One such law is California’s new SB-327 which requires manufacturers to abolish default passwords for security and other IoT devices. On the other hand, the United Kingdom now has their own certification scheme for identifying faulty devices, with a “SecurityBy Design Standard” which aim to help the manufacturers regarding better brand security, it acts as a competitive differentiator.

After introducing government regulation still, some issues have been left unattended. Artificial Intelligence (AI) together with Machine Learning (ML) can help users predicting the threats. To identify potential risks among security devices AI-enhanced approaches are introduced, which could tell the users about any risk present in the device.