It is a necessity to protect IoT devices and their associated data. As the IoT ecosystem continues to expand, the need to create an identity to newly-connected things is becoming increasingly crucial. These ‘things’ can include anything from basic sensors and gateways to industrial controls systems, retail terminals and scanners, and kiosks to medical devices, heating and lighting systems, connected homes, and smart cars.
Identity and authentication for the IoT enables the use of foundational information security concepts, including confidentiality, integrity, availability, authentication, and non-repudiation. At the core, identity binds credentials. It allows an operator to well manage IoT devices, define access, set policies, and secure communications to protect devices and data. But within the Identity of Things (IDoT), how does one clearly define the credential and the accompanying authentication and encryption services?
Identity and Access Management
The Cloud Security Alliance (CSA) first raised this issue back in September 2015 when the organization released a Summary Guidance on Identity and Access Management (IAM) for the IoT. Within the document, the CSA emphasized the importance of properly identifying things in order to enable authentication, encryption, and data integrity in an ecosystem. Currently, there are more than 20 different study groups, consortiums, alliances, and standards initiatives working toward creating a secure framework for the IDoT.
Issues such as scale, power and computational constraints, ruggedized requirements, energy limitations, increased number and variation of connectivity protocols, and cost factors, among others, make it difficult to simply impose a legacy enterprise IAM or credential management solution. Furthermore, while scenarios for IoT authentication are numerous, there are three notable challenges: token-based authentication currently only works for HTTP, symmetric key mechanisms require input at manufacture, and standard Public Key Infrastructure (PKI) is generally considered impracticable for constrained environments.
The three obstacles are ones the cybersecurity industry is working diligently to overcome. For token-based authentication, new methods need to be devised for all the new connectivity vectors (cellular, Bluetooth, Wi-Fi, NFC, RFID, etc.), either as one, convergent authentication method or one for each vector. Both approaches will require significant research and development.
Alternatively, and with some modifications, symmetric key mechanisms can be adapted for the IDoT. For example, Digital Short Range Communications (DSRC), used in vehicle-to-vehicle communications, supports a much smaller certificate structure than the standard X.509. Meanwhile, the use of certificates requires some form of central mechanisms and management structure, such as PKI. In fact, many (and notably certification authorities) tout PKI as the contending standard for identification, encryption, and authentication of IoT devices, but traditional PKI does not scale well for the IoT. A more dynamic key architecture may need to be developed. Essentially the method chosen will depend on the constrained devices in question and their respective environment.
From a private sector perspective, a number of firms are already promoting authentication, identity, and related management services to address the challenges head-on. The movement in the private sector is dynamic, with numerous firms—from startups to big players in the enterprise IAM and authentication and key management space—investing in the IoT market. While some are offering data-centric security platforms for IoT and M2M, others are developing cloud-based IoT security platforms to create and manage digital identities. The solutions are wide-ranging and varied.
In all, the IDoT market opportunity is still nascent, but it is evidently expanding quickly. Most pressing is the development of adapted identity solutions. These solutions will need to revolve around data centric encryption, dynamic certificates and key architecture.
By Michela Menting