According to Gartner, the combination of hardware and software will make IoT development security a quick-evolving area by 2021 and the skills shortage today will only increase. Businesses need to begin their research about developing this IoT development expertise in-house and also begin hiring IoT app developers and IoT app development company.
Best IoT Technologies
IoT network security is challenging than traditional network security as communication protocols, standards, and device capabilities have a more extensive range, 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. Sample vendors are Cisco, Darktrace, and Senrio.
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 ar M2M based and do not involve any human intervention. Sample vendors: Baimos Technologies, Covisint, Entrust Datacard, and Gemalto.
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. Sample vendors: Cisco, HPE.
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. Sample vendors: Cisco, Indegy, Kaspersky Lab, SAP, and Senrio.
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. Sample vendors: Akana, Apigee/Google, Axway, CA Technologies, Mashery/TIBCO, MuleSoft, and more.