Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
Volume-3 | Issue-2
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
A Review on Data Securing Techniques using Internet of Medical Things
Volume-3 | Issue-3
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
Volume-3 | Issue-2
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3
Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3
Volume - 2 | Issue - 2 | june 2020
Published
26 May, 2020
In this work, two participants fairly send or receive things through the aid of intermediate who is only engaged if required. An up-to-date accepted necessity is with the aim of involving third party in the trade should be transparent, to save from privacy and evade terrible publicity. Together, a dishonest intermediate will negotiate the fairness of the trade and so the intermediate should be liable in case of any behavioural changes. Optimistic fair exchange (OFE) is one of the classical protocols to assure fairness of indulgence for a party. This exchange can be done by means of an arbitrator. The most important aspect of OFE is to describe security models so as to capture real-time attacks and design schemes secure in practical models. Signaller is confirmed with the data to send the correct person to address that to make sure it is. Since then the SMS has gone through to achieve that can hold the path to the right to see which if any is the fact that to ensure there is. After the signature is created by creating it to be able to well take care of it and then to the right of the person to pay off that is sure to make it. In this project, to avoid the third party attack (hacking) and unauthorized person access the particular important data. The data should be transmitted in sender to receiver that receiver only have a correct data without any data losses, protect a data security in cyber-attacks. A signature may be digitally and OFE design for the exchanged item have trade-off between transparency and accountability.
KeywordsOFE Network Signaller Message Add signaller View signaller Add arbitrator View arbitrator Get trajectory Find Sybil attack Signal verification Triple DES algorithm Public key Private Key Cipher text Plain text
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