Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Internet of Things (IoT), Applications and Challenges: A Comprehensive Review

Abstract: During recent years, one of the most familiar names scaling new heights and creating a benchmark in the world is the Internet of Things (IoT). It is indeed the future of communication that has transformed things (objects) of the real-world into smart objects. The functional aspect of IoT is to unite every object of the world under one common infrastructure; in such a manner that humans not only have the ability to control those objects; but to provide regular and timely updates on the current status. IoT concepts were proposed a couple of years ago and it may not be incorrect to quote that this term has become a benchmark for establishing communication among objects. In context to the present standings of IoT, a comprehensive review of literature has been undertaken on various aspects of IoT, i.e., technologies, applications, challenges, etc. This paper evaluates various contributions of researchers in different areas of applications. These papers were investigated on various parameters identified in each application domain. Furthermore, existing challenges in these areas are highlighted. Future research directions in the field of IoT have also been highlighted in the study to equip novel researchers in this area to assess the current standings of IoT and to improve upon them with innovative ideas.

A secure authentication scheme based on elliptic curve cryptography for IoT and cloud servers

Abstract: The Internet of Things (IoT) is now a buzzword for Internet connectivity which extends to embedded devices, sensors and other objects connected to the Internet. Rapid development of this technology has led to the usage of various embedded devices in our daily life. However, for resource sharing and communication among these devices, there is a requirement for connecting these embedded devices to a large pool of resources like a cloud. The promising applications of IoT in Government and commercial sectors are possible by integrating cloud servers with these embedded devices. But such an integration of technologies involves security issues like data privacy and authentication of devices whenever information is exchanged between them. Recently, Kalra and Sood proposed an authentication scheme based on elliptic curve cryptography (ECC) for IoT and cloud servers and claimed that their scheme satisfies all security requirements and is immune to various types of attacks. However, in this paper, we show that Kalra and Sood scheme is susceptible to offline password guessing and insider attacks and it does not achieve device anonymity, session key agreement, and mutual authentication. Keeping in view of the shortcomings of Kalra and Sood’s scheme, we have proposed an authentication scheme based on ECC for IoT and cloud servers. In the proposed scheme in this paper, we have formally analyzed the security properties of the designed scheme by the most widely accepted and used Automated Validation of Internet Security Protocols and Applications tool. Security and performance analysis show that when compared with other related schemes, the proposed scheme is more powerful, efficient, and secure with respect to various known attacks.

Energy Efficiency Techniques in Cloud Computing: A Survey and Taxonomy

Abstract: The increase in energy consumption is the most critical problem worldwide. The growth and development of complex data-intensive applications have promulgated the creation of huge data centers that have heightened the energy demand. In this article, the need for energy efficiency is emphasized by discussing the dual role of cloud computing as a major contributor to increasing energy consumption and as a method to reduce energy wastage. This article comprehensively and comparatively studies existing energy efficiency techniques in cloud computing and provides the taxonomies for the classification and evaluation of the existing studies. The article concludes with a summary providing valuable suggestions for future enhancements.