Electronic industry is gaining more traction due to IOT nowadays but India is still at nascent stage to adopt this technology. Every technology becomes popular when technology leader makes it more simple and secure. Security and privacy are the biggest challenges for IoT. All these devices and systems collect a lot of personal data about people that smart meter knows when you’re home. So developer must protect the device from cyber-attacks. This can only be achieved by including security in the early stages of design.
Is there any solution to make your IoT application to be secure.? The answer is yes Following are the technologies can be used to make your application secure IoT network security: Protecting and securing the network connecting IoT devices to back-end systems on the internet. IoT network security is a bit more challenging than traditional network security because there is a wider range of communication protocols, standards, and device capabilities, all of which pose signi?cant issues and increased complexity. Key capabilities include traditional endpoint security features such as antivirus and antimalware as well as other features such as firewalls and intrusion prevention and detection systems.
IoT authentication: Providing the ability for users to authenticate an IoT device, including managing multiple users of a single device (such as a connected car), ranging from simple static password/pins to more robust authentication mechanisms such as two-factor authentication, digital certificates and biometrics. Unlike most enterprise networks where the authentication processes involve a human being entering a credential, many IoT authentication scenarios (such as embedded sensors) are machine-to-machine based without any human intervention.
IoT encryption: Encrypting data at rest and in transit between IoT edge devices and back-end systems using standard cryptographic algorithms, helping maintain data integrity and preventing data sniffing by hackers. The wide range of IoT devices and hardware profiles limits the ability to have standard encryption processes and protocols. Moreover, all IoT encryption must be accompanied by equivalent full encryption key lifecycle management processes, since poor key management will reduce overall security.
IoT PKI: Providing complete X.509 digital certi?cate and cryptographic key and life-cycle capabilities, including public/private key generation, distribution, management, and revocation. The hardware specs for some IoT devices may limit or prevent their ability to utilize PKI. Digital certi?cates can be securely loaded onto IoT devices at the time of manufacture and then activated/enabled by third-party PKI software suites; the certi?cates could also be installed post-manufacture.
IoT security analytics: Collecting, aggregating, monitoring, and normalizing data from IoT devices and providing actionable reporting and alerting on speci?c activities or when activities fall outside established policies. These solutions are starting to add sophisticated machine learning, arti?cial intelligence, and big data techniques to provide more predictive modeling and anomaly detection (and reduce the number of false positives), but these capabilities are still emerging. IoT security analytics will increasingly be required to detect IoT-speci?c attacks and intrusions that are not identi?ed by traditional network security solutions such as ?rewalls.
IoT API security: Providing the ability to authenticate and authorize data movement between IoT devices, back-end systems, and applications using documented REST-based APIs. API security will be essential for protecting the integrity of data transiting between edge devices and back-end systems to ensure that only authorized devices, developers, and apps are communicating with APIs as well as detecting potential threats and attacks against speci?c APIs.