NL Sowjanya Cherukupalli

Ms. NL Sowjanya Cherukupalli

Computer Science and Engineering, Koneru Lakshmaiah Education Foundation,, Guntur, India
orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 February 2023 in Electronics
Verified
Journal Article
Open access
PDF file
RCRadha Raman Chandan
Radha Raman Chandan
ABAwatef Salem Balobaid1
Awatef Salem Balobaid1
NCNL Sowjanya Cherukupalli
NL Sowjanya Cherukupalli
GLGururaj H L
Gururaj H L
Francesco FlamminiFrancesco Flammini
Francesco Flammini
Rajesh NatarajanRajesh Natarajan
Rajesh Natarajan
Sixth-generation (6G) wireless networking studies have begun with the global implementation of fifth-generation (5G) wireless systems. It is predicted that multiple heterogeneity applications and facilities may be supported by modern wireless communication networks (MWCNs) with improved effectiveness and protection. Nevertheless, a variety of trust-related problems that are commonly disregarded in network architectures prevent us from achieving this objective. In the current world, MWCN transmits a lot of sensitive information. It is essential to protect MWCN users from harmful attacks and offer them a secure transmission to meet their requirements. A malicious node causes a major attack on reliable data during transmission. Blockchain offers a potential answer for confidentiality and safety as an innovative transformative tool that has emerged in the last few years. Blockchain has been extensively investigated in several domains, including mobile networks and the Internet of Things, as a feasible option for system protection. Therefore, a blockchain-based modal, Transaction Verification Denied conflict with spurious node (TVDCSN) methodology, was presented in this study for wireless communication technologies to detect malicious nodes and prevent attacks. In the suggested mode, malicious nodes will be found and removed from the MWCN and intrusion will be prevented before the sensitive information is transferred to the precise recipient. Detection accuracy, attack prevention, security, network overhead, and computation time are the performance metrics used for evaluation. Various performance measures are used to assess the method’s efficacy, and it is compared with more traditional methods.