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When the device is processing and generating data normally, the data is susceptible to attacks. In this stage, developers can improve cybersecurity by implementing hardware-enforced isolation, software-enforced separation, userspace isolation, or information and data obfuscation.
Fremont, CA: Increased cybersecurity concerns accompany the growth of the Internet of Things. Technology is permeating every industry, improving connectivity and making our lives easier. However, there are drawbacks to this, and as cybercriminals seek to exploit it, ever-increasing connectivity is becoming more of a problem.
This is perhaps most visible in the medical industry, where patient data security is critical. Despite the fact that it is a top priority for healthcare providers, patient data is frequently compromised. As a result, it is critical to secure IoT medical devices by preventing malicious exploits and implementing various security-related procedures. Let's take a closer look at the security requirements for IoT medical devices.
Tips to Secure IoT Medical devices:
Data in Use
When the device is processing and generating data normally, the data is susceptible to attacks. In this stage, developers can improve cybersecurity by implementing hardware-enforced isolation, software-enforced separation, userspace isolation, or information and data obfuscation. For those who can afford it, physically isolating applications by keeping multiple SoCs side by side is an excellent solution. Alternatively, you can use software solutions to separate applications and add another layer of security by obfuscating the data.
Data in Transit
When the device is turned on, and data is leaving or entering it, data may be most vulnerable. At this point, it is critical to use mutual attestation to ensure that the receiver of information has been properly identified. In the event that this fails and the device is hijacked, developers must ensure that the data is still secure by encrypting it. This is typically accomplished by utilizing SoCs equipped with crypto engines that are extremely difficult for hackers to crack.
Data at Rest
Data is vulnerable from the moment a device is turned on to the moment it is fully operational. At this stage, possible measures include storage security, the root of trust, and the chain of trust. The heart of trust and chain of trust must be established, and storage security must be maintained at a high level, with anti-tampering methods as well as proper bootable image storage.