As new IoT devices enter the world, deploying in uncontrolled, complex, and often hostile environments presents many unique challenges to protecting IoT systems.
Security is a top concern for IoT developers, according to an IoT Survey.
Security methods that rely heavily on encryption are not suitable for these constrained devices. Because they cannot perform complex encryption and decryption quickly enough to transmit data in real-time securely.
In contrast, constrained devices typically use only fast, lightweight encryption algorithms.
Because a lot of devices are available in the IoT system to provide potential points of failure, device authentication and authorization are critical to protecting the IoT system.
IoT devices must authenticate their identity before they can access gateways and communicate with services and applications.
A secure IoT platform with a tacit understanding can help resolve these issues, such as enabling two-factor authentication (2FA) and enforce password or certificate.
The IoT platform also provides a device licensing service to determine which services, apps, or resources each device has full access to the system.
Applying updates, including security fixes, to firmware or software running on IoT devices and gateways presents many challenges.
Not all devices support broadcast updates or no downtime updates, so devices may need physical access or temporarily pulled from production to apply updates.
Once the device itself is secure, next IoT security challenge is to secure network communications between devices and cloud services or applications.
Many IoT devices do not encrypt messages until they are sent over the network. Using separate network isolation devices also helps to establish secure, private communications so that the data in transit remains confidential.
Implementing data privacy includes revision or anonymization prior to sensitive data storage, or the use of data separation to separate personally identifiable information from IoT data payloads.
As a decentralized, distributed ledger of IoT data, the blockchain provides a scalable and resilient way to ensure the integrity of IoT data.
When you open an IoT application, be sure to apply security engineering practices to avoid vulnerabilities, such as the vulnerabilities mentioned in OWASP.
As we become more dependent on IoT in our daily lives, IoT users must consider IoT data that depends on this data, availability of web and mobile applications, and our access to the physical things managed by the IoT system.
For example, in interconnected cities, IoT infrastructure is responsible for basic services such as transportation control, and in healthcare, IoT devices include pacemakers and insulin pumps.
For high availability, IoT devices must be protected from cyber-attacks and physical tampering.
Strategies for detecting vulnerabilities include monitoring network communications and activity logs for anomalies, conducting penetration tests, and ethical hacking to expose vulnerabilities, and applying security intelligence and analytics to identify and notify events when they occur.
The complexity of IoT system also makes it difficult to assess the impact of vulnerability or the extent of a vulnerability to manage its impact.
The first thought includes determining which devices are affected, which data or services are accessed or compromised, and which users are affected, and then taking steps to address the situation. The device administrator maintains the device register, which can be used to temporarily disable or isolate affected devices until they can be patched.
You can use the rule engine to automatically apply actions, which have rules based on vulnerability management policies.
Long term security challenge
The longer-term IoT security challenge is that application security intelligence is used not only to detect and mitigate problems when they occur but also to anticipate and proactively protect against potential security threats.
Other methods include applying monitoring and analysis tools to correlate events and visualizing expanded threats in real-time and applying AI to adjust your app’s security policies based on the effectiveness of previous operations.