Cloud native EDA tools & pre-optimized hardware platforms
The time when a sensor needed only to sense is behind us. With the rise of the Internet of Things (IoT), sensors are part of a connected network. As sensor data is transported from its source to where decisions are made, it must be secured ¨C not a trivial task, given that IoT devices are in the field and are rarely physically protected. Using SRAM PUF technology to create a unique and unclonable identity for every sensor provides the basis for strong authentication and encryption.
In almost all IoT device networks, sensors are the genesis of the journey for IoT data streams. These sensors create the data on which business decisions are based, and action is taken. In Industrial IoT, smart buildings, and critical infrastructures, imagine what happens if attackers manipulate sensor data, like from power grids or water supplies. This can cripple entire regions. Not to mention, all our vehicles are increasingly full of sensors as we are autonomizing them. So, sensor data must be accurately transported from the source to where decisions are made.
Keeping sensor data safe is not a trivial task since IoT devices are in the field and are rarely well protected. This means that an adversary can easily get physical or logical access to the device and make changes that insert malicious data streams into the system.
IoT devices can be attacked in several places, such as snooping on the interface between chips or eavesdropping on data when it leaves the device.
This is why security should start at the sensor, where data is created. When data is encrypted on the sensor, there is no way an adversary can eavesdrop. Also, strong sensor authentication is required to ensure that only genuine sensors can inject data into the network.
But, like anything with a high-volume IoT deployment, sensors are under extreme price pressure. How can strong and differentiating security solutions be implemented while maintaining a competitive price point?
This is where Synopsys' secure sensor solution comes in. Based on Synopsys' patented SRAM PUF technology, it internally generates a fingerprint, forming a unique and unclonable identity for every sensor, which is never stored in memory and cannot be copied from one device to the next. This way, the identity is immutable and invisible to adversaries, allowing it to authenticate genuine sensors. Keys derived from the SRAM PUF are used for encrypting sensor data.
Synopsys provides IP and software for direct and flexible integration into the sensor and meets the compact size, low power, and wide operational ranges required in this application. This IP comes at a cost amenable to profitable scaling of the IoT. No additional hardware components (like secure element chips) are required in the IoT device to secure the sensor data. This means the sensor takes care of the security of its data by itself, which is a differentiating function for the sensors in an increasingly commoditizing market. Hence, with a small investment in functionality, the value of the sensor increases significantly.