Abstract The emergence of technology and communication system paved way for the development of the internet of things (IoT). The IoT system generates diversified data and the quantity of the data is also huge. The IoT systems are developed to adhere to the situation and to make intelligent decisions in a specified time. Hence, the IoT system necessitates high processing and storage environment, which makes the effective response in a short‐duration. The data transmission across the mobile nodes and cloud service has made huge utilization of energy. The storage and energy consumption are considered as major issues in the IoT system whereas these issues will reflect in the performance of the IoT system. Initiation of edge computing into the IoT system permits the workload to be offloaded from the cloud providers, which is attained from the closer location of the source of data. This improves privacy, minimizes the saving time, and traffic. In this article, an Effective Energy usage and Data Compression Approach using Data Mining proposed for IoT data. The proposed approach is investigated by considering the driving behaviour and it achieves effective compression without influencing the quality of the data. The stress level of the driver is also identified with high accuracy.

PKI offers authentication via digital certificates, which are signed and provided by Certificate Authority (CA). A certificate can be signed by single CA or multiple CAs. A document signed by multiple CAs has less probability to be forged as compared to signed by a single CA. CA is a single point of failure, if CA issue forged certificate intentionally or maliciously the whole PKI system effected. Still PKI ensures a secure method for exchanging sensitive information over unsecured channels through the use of cryptographic public private key pair, issued by Certification Authority (CA) but even an honest CA can issue forged certificate. Now in India everything is digitalized to enable e-Governance. For that a unique identity, aadhar number issued by Unique Identification Authority of India (UIDAI) is most widely used. For avoiding fraudulent certificates, strong authentication and attacks on CAs, the authors proposed an algorithm that use multiple signature on certificate based on aadhar number offered by UIDAI for online entity authentication-verification before issuing the certificate. If any of the CA is compromised whether its database or key will not be able to issue certificate to any server as authentication fails and multiple signatures are required. Proposed concept is more secure than the existing in terms of authentication, security and time.

This paper proposes an improved secure data communication [1] by using the concept of underdetermined BSS problem and chaos. The purpose of the chaos is to generate the pseudorandom sequence, which in turn is used for encryption and specific mixing. The proposed method has high security performance. The experimental results illustrate that performance of this is highly secured.