Multi-Service CyberSecurity API Platform with ThreatShield

DOI

10.2991/978-94-6239-693-7_74How to use a DOI?

Keywords

Cybersecurity; Phishing Detection; Malware Analysis; Email Validation; Intrusion Detection; Machine Learning; API Platform

Abstract

Organizations today are also combating increasing rates of cyber menace emails phishing, malwares, fakes and network attacks that are soaring at an unprecedented pace. The field of isolated security solutions perceives the teams as being blindfolded and reactive. ThreatShield API is to be used as a combination of deep learning phishing recognition, VirusTotal malware scans, NLP email validation, deep learning NID showing real turnaround notification and maximum accuracy due to FastAPI. The paper introduces a Unified Multi Service Cybersecurity API Platform that integrates ThreatShield to integrate security facilities of a system that will become smart and will overcome weaknesses of an existing platform. The site integrates phishing URLs detector based on deep learning with automated malware classifier based on VirusTotal and Natural language program email classifier based on NLP validator and neural network-based intrusion classifier interacting under FastAPI co-ordination. The system will enable the security personnel to identify real-time operations and give timely responses on the automated reporting systems. The results of the experiment confirm that the system is capable of achieving a superior performance in labelling and providing lower levels of false positive and a broader scope of defense against various forms of attacks that are not present in cases where the other security tools are applied that the tools are meant not to be dependent on each other. The proposed platform is a viable one that can be extended as it needed to design to meet the requirements and extend the capacity to enhance the contemporary approaches of cybersecurity defense.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. V. S. Hiteshu
AU  - J. Vishnu Prasad
AU  - S. Pothumani
PY  - 2026
DA  - 2026/06/16
TI  - Multi-Service CyberSecurity API Platform with ThreatShield
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 744
EP  - 754
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_74
DO  - 10.2991/978-94-6239-693-7_74
ID  - Hiteshu2026
ER  -