Intrusion Detection System in Mobile and Online Banking Network

September 2024
Vol-10, Issue-5
Paper ID: 24945
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Keywords: Authentication Authorization Backdoor Intruder Encryption Denial of Service Attack
Abstract
The denial-of-service attacks on well-known websites demonstrate that no open computer network is safe from incursions. Software upgrades frequently present new issues, and system software frequently has bugs that could lead to security issues. The work aims to develop an intrusion detection system that can monitor, examine, and identify actions of unauthorized users (Access Attempts), notify the relevant authority (the administrator) of the incursion, and create an environment that is largely free from intrusions. This study was driven by the growing need for network connectivity, which makes it harder, if not impossible, to isolate a system from outside intrusion. Furthermore, using wireless connectivity exposes the network to threats like latent eavesdropping and aggressive interference. Finally, the absence of a centralized point for monitoring and management makes it difficult to establish a clear line of defense. The system that is being developed will take a picture of the intruder, stop them from transferring money by encrypting the International Transfer Code (ITC), Money Laundering Code (MLC), and Transaction Access Code (TAC), and notify the admin and account owner automatically when there is an intrusion and further development.

Author Information

# Name Institute / Affiliation
1 Ibebuogu C.C Imo State University Owerri, Imo State Nigeria
2 Amaefule I.A Imo State University Owerri, Imo State Nigeria
3 Mirian Raymond Imo State University Owerri, Imo State Nigeria

How to Cite

Use the following formats to cite this article in your research.

APA Style
C.C, Ibebuogu, I.A, Amaefule, & Raymond, Mirian (2024). Intrusion Detection System in Mobile and Online Banking Network. International Journal of Advance Research and Innovative Ideas In Education, 10(5), 361-367.
MLA Style
C.C, Ibebuogu, et al. "Intrusion Detection System in Mobile and Online Banking Network." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, 2024, pp. 361-367.
IEEE Style
Ibebuogu C.C, Amaefule I.A, and Mirian Raymond, "Intrusion Detection System in Mobile and Online Banking Network," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, pp. 361-367, 2024.
Vancouver Style
C.C Ibebuogu, I.A Amaefule, Raymond Mirian. Intrusion Detection System in Mobile and Online Banking Network. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(5):361-367.
Harvard Style
C.C, Ibebuogu, I.A, Amaefule, & Raymond, Mirian (2024) 'Intrusion Detection System in Mobile and Online Banking Network', International Journal of Advance Research and Innovative Ideas In Education, 10(5), pp. 361-367.
Chicago Style
C.C, Ibebuogu, Amaefule I.A, and Mirian Raymond. "Intrusion Detection System in Mobile and Online Banking Network." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 361-367.
Turabian Style
C.C, Ibebuogu, Amaefule I.A, and Mirian Raymond. "Intrusion Detection System in Mobile and Online Banking Network." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 361-367.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable