Ajay Kumar Garg Engineering College

About: Ajay Kumar Garg Engineering College is a based out in . It is known for research contribution in the topics: Search engine indexing & Computer science. The organization has 216 authors who have published 300 publications receiving 1623 citations.

An Authenticated Key Exchange Protocol for Multi-Server Architecture in 5G Networks

Abstract: Currently, the popularity of the Internet of Things (IoT) has brought about an increase in the amount of data, so multi-server distributed cloud computing has been widely used in various applications that have brought convenience to our daily lives. At the same time, the development of the fifth generation (5G) of mobile communication technology has gradually become the main driving force for the popularization of the IoT. Because the 5G network is a heterogeneous network with multiple servers and small cells, the mutual authentication protocol under multiple servers is also applicable to the 5G network environment. However, much of the data will have serious storage and security issues during transmission. Aiming at the security issues in a multi-server (M-S) architecture, in 2018, Wu et al. proposed an authentication protocol in a distributed cloud environment. They claimed that their protocol is secure and resistant to various known types of attacks. However, we found that their protocol does not guarantee perfect forward secrecy (PFS) and suffers from privileged insider (PI) attacks. Such attacks will cause data to be out of sync. Therefore, we improved Wu et al. ’s protocol and proposed an improvement in the 5G network environment. Finally, we performed a security analysis on the proposed protocol, including the automatic encryption protocol tool ProVerif, BAN logic, and informal security analysis, which proved that our protocol is secure. Compared with similar existing schemes, we have proved the efficiency of the scheme and achieved higher security standards.

Fake news detection using deep learning models: A novel approach

Abstract: With the ever increase in social media usage, it has become necessary to combat the spread of false information and decrease the reliance of information retrieval from such sources. Social...

Real time car parking system using image processing

Abstract: Car parking lots are an important object class in many traffic and civilian applications With the problems of increasing urban traffic congestion and the ever increasing shortage of space, these car parking lots are needed to be well equipped with automatic parking Information and Guidance systems Goals of intelligent parking lot management include counting the number of parked cars, and identifying the available location This work proposes a new system for providing parking information and guidance using image processing The proposed system includes counting the number of parked vehicles, and identifying the stalls available The system detects cars through images instead of using electronic sensors embedded on the floor A camera is installed at the entry point of the parking lot It will capture image sequences Setting image of a car as reference image, the captured images are sequentially matched using image matching For this purpose edge detection has been carried out using Prewitt edge detection operator and according to percentage of matching guidance and information is provided to the incoming driver