:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Raghavender Maddali
Format:	Recurso digital
Language:
Published:	Zenodo 2022
Online Access:	https://doi.org/10.5281/zenodo.15096230
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Adaptive Data Quality Frameworks with Continuous Learning Mechanisms
by: Raghavender Maddali
Published: (2019)

Autonomous AI Agents for Real-Time Data Transformation and ETL Automation
by: Raghavender Maddali
Published: (2023)

AI-Driven Security in Cloud Computing: Enhancing Threat Detection, Automated Response, and Cyber Resilience
by: Shaffi, Shamnad Mohamed, et al.
Published: (2025)

Design of a Photoactuator Based on a Photosalient Crystal Driven by Solid‐State [2+2] Cycloaddition
by: Aditya Choudhury, et al.
Published: (2026)

Design of a Photoactuator Based on a Photosalient Crystal Driven by Solid‐State [2+2] Cycloaddition
by: Aditya Choudhury, et al.
Published: (2026)

Machine Learning Driven Smishing Detection Framework for Mobile Security
by: Goel, Diksha, et al.
Published: (2024)

Machine Learning‐Driven Security for Malware Detection in Wireless Android Devices
by: Anuradha Dahiya, et al.
Published: (2026)

A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
by: Johora, Fatama Tuz, et al.
Published: (2024)

AI-Driven Cybersecurity Resilience: Enhancing Threat Detection and Prevention Mechanisms
by: Mishra, Sarthak
Published: (2024)

Autonomous Threat Detection and Response in Cloud Security: A Comprehensive Survey of AI-Driven Strategies
by: Sarraf, Gaurav, et al.
Published: (2026)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Enhancing Cyber Security Through Predictive Analytics: Real-Time Threat Detection and Response
by: Danish, Muhammad
Published: (2024)

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
by: Debus, Pascal, et al.
Published: (2025)

AI Driven LLM Enhanced Multimodal Cybersecurity Threat Detection in Communication Networks
by: Nemalikanti, Deena
Published: (2026)

Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection
by: Ali, Syed Atif, et al.
Published: (2024)

TIPS: Threat Sharing Information Platform for Enhanced Security
by: Pasumarthy, Lakshmi Rama Kiran, et al.
Published: (2024)

Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
by: Esmaeili, Mona, et al.
Published: (2024)

Deep Learning Model Security: Threats and Defenses
by: Wang, Tianyang, et al.
Published: (2024)

Future-Back Threat Modeling: A Foresight-Driven Security Framework
by: Van Than, Vu
Published: (2025)

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction
by: Diaf, Alaeddine, et al.
Published: (2025)

Detection of Dark Web Threats Using Machine Learning and Image Processing
by: Medipelly, Swetha, et al.
Published: (2024)

Evaluating Language Models For Threat Detection in IoT Security Logs
by: Tejero-Fernández, Jorge J., et al.
Published: (2025)

CyberSentinel: An Emergent Threat Detection System for AI Security
by: Tallam, Krti
Published: (2025)

Unveiling the Invisible: Powering Security Threat Detection in WSN With AI
by: K. P. Uvarajan, et al.
Published: (2025)

Adversarial Machine Learning Threats to Spacecraft
by: Thummala, Rajiv, et al.
Published: (2024)

Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs
by: Guo, Anbi, et al.
Published: (2025)

Big Data Analytics for VANET Security: A Machine Learning‐Driven Attack Monitoring System
by: A. Vaideghy, et al.
Published: (2026)

Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection
by: Sameh, Ahmed, et al.
Published: (2025)

CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
by: Cajaraville-Aboy, Diego, et al.
Published: (2025)

Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
by: Mohamadi, Alireza, et al.
Published: (2024)

Uncertainty, Threat, and International Security
by: Savic, Ivan, et al.
Published: (2025)

Preparing for Hybrid Threats to Security
Published: (2024)

Mobile Application Threats and Security
by: Mirzoev, Timur, et al.
Published: (2025)

Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments
by: Raseena M. Haris, et al.
Published: (2025)

Security Technologies and Methods for Advanced Cyber Threat Intelligence, Detection and Mitigation
Published: (2023)

Safety in Graph Machine Learning: Threats and Safeguards
by: Wang, Song, et al.
Published: (2024)

Synthesis and Evaluation of Molecular Docking and Anti‐Inflammatory Activity of New 1,2,3‐Triazole Derivatives
by: Shalini Aitha, et al.
Published: (2026)

A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
by: Hallaji, Ehsan, et al.
Published: (2025)

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis
by: Agrawal, Aditi Sanjay
Published: (2026)

SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration
by: Firdos, Rumman, et al.
Published: (2026)