Fotograpiya| Security of IoT Devices for the Use in Business Environment |IoT is the next step towards making workplaces smarter and more interconnected. While the applications are endless, still we haven’t seen much of its use in the business world. The reason could be anywhere between the security and cost of the system implementation. While cost is something you can somehow manage, security has been the major problem for the developers and the clients as well. The risk of a hacker getting into the system can cost the valuable data of the firm, with all the information of the company. But, when you give enough time to the developers for the IoT design, the security can be taken care of with enough layers to make penetration next to impossible.
Security Challenges for the IoT Devices
The first challenge faced by developers while increasing the security of the IoT was the encryption and decryption capability of different devices. Many devices were unable to perform sophisticated encryption and decryption, either quickly or completely. Updates and security patches to firmware posed challenges related to the effective installation. Updating devices with air updates is not possible on many devices. While the updates were sent to the supported devices, the users may not be interested in installing them.
Securing the communication channel was important to prevent intrusion. Standards like TLS were adopted to encrypt transportation, a better alternative to the encryption of messages before transfer. For the data storage and processing, it should be done securely within the sensor while keeping the data integrity while transmission. All the services and applications should be secured while processing access to the IoT.
Creating a Solution
IoT security can only be accomplished with an integrated solution that delivers visibility, segmentation, and protection throughout the entire network infrastructure, such as a holistic security fabric approach.
Learn: With complete network visibility, security solutions can authenticate and classify IoT devices to build a risk profile and assign them to IoT device groups.
Segment: Once the enterprise understands its IoT attack surface, IoT devices can be segmented into policy-driven groups based on their risk profiles.
Protect: The policy-driven IoT groups and internal network segmentation enable monitoring, inspection, and policy enforcement based on the activity at various points within the infrastructure.
Major IoT Security Technology
- IoT Network Security
The more challenging aspect of IoT network security over the traditional network security is the more extensive range of communication standards, protocols, and device capabilities, all of which pose significant issues and increased complexity. It involves securing the network connection that connects the IoT devices with the back-end systems on the internet. Capabilities include traditional endpoint security features like antivirus and antimalware as well as firewalls and intrusion prevention and detection systems.
- IoT authentication
It grants users to authenticate IoT devices, including managing multiple users for a single device, ranging from multiple static passwords to more robust authentication mechanisms like two-factor authentication, digital certificates, and biometrics. Unlike most enterprise networks where authentication processes involve a human being entering a credential, many IoT authentication scenarios are M2M based and do not involve any human intervention.
- IoT Encryption
Encrypting data at rest and transit between IoT edge devices and back-end systems using standard cryptographic algorithms, maintaining data integrity, and preventing data sniffing by hackers. Several IoT devices and hardware profiles limit the ability to have standard encryption processes and protocols. Further, all IoT encryption must be accompanied by equivalent full encryption key lifecycle management processes, since poor key management would reduce overall security.
- IoT Security Analytics
This technology involves collecting, aggregating, monitoring, and normalizing data from IoT devices and providing actionable reporting and alerting on suspicious activity or when activity falls outside established policies.
These solutions add sophisticated machine learning, artificial intelligence, and big data techniques providing more predictive modeling and anomaly detection, but such capabilities are still emerging. IoT security analytics would increasingly be required to detect IoT-specific attacks and intrusions that are not identified by traditional network security solutions such as ﬁrewalls.
- IoT API Security
This technology enables us to authenticate and authorize data movement between IoT devices, back-end systems, and applications using documented REST-based APIs. API security protects the integrity of data transiting between edge devices and back-end systems, and applications using documented rested APIs as well as detecting potential threats and attacks against APIs.
AUTHOR BIO: Nathan Smith is a senior IoT application developer at TechnoScore, dedicated to learning new things and giving informative insights to enhance your knowledge base.