Sreeteja Gunda

Prem Swaroop Arisetty

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2017 Innovations in Power and Advanced Computing Technologies (i-PACT)

In the computing world, the digital transformation of data grows exponentially with every year. However, these situations are predominantly tackled by leading enterprises through by adopting a hybrid IT model. This model effectively supports the organization through strategic design to provide standard delivery to customers from independent multi-sourced entities. An experimental design method is applied using hybrid IT architecture with gene-based cryptomata (HITAGC) which is well suited to real-time cloud environments to store and retrieve the cloud space data efficiently. The CSC primarily relies on the service of CSP to keep their confidential data, and this system ultimately uses the PKC crypts. To address this security demand, we propose two different schemes such as HITAGC-PKC and hybrid HITAGC. The first model is designed to generate robust asymmetric keys for the Internet of Things, and the other hybrid HITAGC is for efficient sharing of big data over the cloud in a secure manner. The performance of these crypts is compared with the traditional systems like standard RSA, ESRKGS, SED2, EDCon, and AES. © 2018, Springer-Verlag London Ltd., part of Springer Nature.

Service Oriented Computing and Applications

Hybrid IT architecture by gene-based cryptomata (HITAGC) for lightweight security services

A new variant of RSA has been proposed called Memory Efficient Multi Key (MEMK) generation scheme. For sensitive data, our scheme will aid in exchanging the information between cloud to IoT and IoT to IoT devices. When cryptography belongs to the asymmetric type, then it has public and private keys. For memory efficiency, our scheme reuses the RSA scheme with a Diophantine form of the nonlinear equation. Moreover, our scheme performance comparatively performs well and this mainly due to the use of RSA public key alone. Due to this, our MEMK does not require multiplicative inverse function or Extended Euclid's algorithm. Finally, we have made an experimental result on various phases of MEMK PKC such as key generation, encryption, and decryption by varying the N-bit modulo bits from 1K to 10K. © 2017 IEEE.

Memory efficient multi key (MEMK) generation scheme for secure transportation of sensitive data over cloud and IoT devices

IoT devices are everywhere. Shortly, every 'thing' is going to be connected and interact with each other. What are these things? They can be your microwaves, heaters, air conditioners or even your refrigerators. It assessed that there would be 50 billion connected IoT devices by 2020 which is about 7 IoT gadgets for every individual on the planet. IoT devices are low powered devices which have a minimal amount of processing capabilities. With ever increasing number of IoT devices, there is a subsequent need for secure communication among them. In this paper, we aim to propose an encryption algorithm used for secure communication by taking into account the limitations of IoT devices. © 2017 IEEE.

Multi key distribution scheme by diophantine form for secure IoT communications

Decision making is a difficult task over the complex, spirited and competitive environment. A variety of research provides diverse notification for individual failure in making logical decisions under certain circumstances by applying normative approaches. In today's competitive market, the advance of technology is closely related to consumer needs for the extraction of good quality products at less cost which is in rarely finding a model in Consumer to Business (C2B). The aim of the paper is to optimize the C2B model by intuitionistic Fuzzy to resolve multi decision making problems. It derives multi criteria decision making to support complex environments in C2B using membership and non-membership attributes which is built to generate the intuitionistic fuzzy priority weighting vector based on minimum distance and similarity measures. This technique classifies the object type as per the customer needs with a ranking in the optimized way make efficient for the customer satisfaction. © 2017 IEEE.

2017 4th International Conference on Electronics and Communication Systems (ICECS)

An assessment framework of intuitionistic fuzzy network for C2B decision making

This work aims to study the relation between Precipitation and six of its various climatic factors. The analysis shows how much is the contribution of Reference Crop Evapotranspiration, Average Temperature, Wet Day frequency, Potential Evapotranspiration, Vapor Pressure and the Cloud Cover towards precipitation. For the purpose of finding the percentage of contribution by every parameter on Precipitation, we use a method called Analytical Hierarchical Processing. Basically, Analytical Hierarchical Processing is used for decision making. © 2017 IEEE.

Journal	Data powered by Typeset2017 Innovations in Power and Advanced Computing Technologies (i-PACT)
Publisher	Data powered by TypesetIEEE
Open Access	0