Biblio

Hard-coded credentials such as clear text log-in id and password provided by the IoT manufacturers and unsecured ways of remotely accessing IoT devices are the major security concerns of industry and academia. Limited memory, power, and processing capabilities of IoT devices further worsen the situations in improving the security of IoT devices. In such scenarios, a lightweight security algorithm up to some extent can minimize the risk. This paper proposes one such approach using Quick Response (QR) code to mitigate hard-coded credentials related attacks such as Mirai malware, wreak havoc, etc. The QR code based approach provides non-clear text unpredictable login id and password. Further, this paper also proposes a secured way of remotely accessing IoT devices through modified https. The proposed algorithms are implemented and verified using Raspberry Pi 3 model B.

In the past few years, Internet of Things (IoT) devices have emerged and spread everywhere. Many researchers have been motivated to study the security issues of IoT devices due to the sensitive information they carry about their owners. Privacy is not simply about encryption and access authorization, but also about what kind of information is transmitted, how it used and to whom it will be shared with. Thus, IoT manufacturers should be compelled to issue Privacy Policy Agreements for their respective devices as well as ensure that the actual behavior of the IoT device complies with the issued privacy policy. In this paper, we implement a test bed for ensuring compliance of Internet of Things data disclosure to the corresponding privacy policy. The fundamental approach used in the test bed is to capture the data traffic between the IoT device and the cloud, between the IoT device and its application on the smart-phone, and between the IoT application and the cloud and analyze those packets for various features. We test 11 IoT manufacturers and the results reveal that half of those IoT manufacturers do not have an adequate privacy policy specifically for their IoT devices. In addition, we prove that the action of two IoT devices does not comply with what they stated in their privacy policy agreement.