Cover Image

MongoDB Injection Query Classification Model using MongoDB Log files as Training Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Perni, Shaunak, Shirodkar, Minal, Karmalli, Ramdas
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

First Past the Post: Evaluating Query Optimization in MongoDB
by: Tao, Dawei, et al.
Published: (2024)

Search-Based Fuzzing For RESTful APIs That Use MongoDB
by: Ghianni, Hernan, et al.
Published: (2025)

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation
by: Ye, Mingwei, et al.
Published: (2026)

Evaluating NoSQL Databases for OLAP Workloads: A Benchmarking Study of MongoDB, Redis, Kudu and ArangoDB
by: Mohan, Rishi Kesav, et al.
Published: (2024)

Using MongoDB Sync to Replace Kinesis for Real-Time Fuel Data Update
by: Rohith Varma Vegesna
Published: (2024)

Una comparación de rendimiento entre bases de datos NoSQL: MongoDB y ArangoDB
by: Marlen Treviño-Villalobos
Published: (2019)

Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework
by: Li, Hui, et al.
Published: (2024)

PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification
by: Gu, Binbin, et al.
Published: (2024)

PROTECT-DB: Protecting Data using Replicated State Machines: Efficient Corruption Detection & Recovery
by: Utgikar, Anant, et al.
Published: (2026)

MemTraceDB: Reconstructing MySQL User Activity Using ActiviTimeTrace Algorithm
by: Nissan, Mahfuzul I.
Published: (2025)

CryptoTrain: Fast Secure Training on Encrypted Dataset
by: Xue, Jiaqi, et al.
Published: (2024)

Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
by: Gu, Michael, et al.
Published: (2024)

Systematic Assessment of Tabular Data Synthesis
by: Du, Yuntao, et al.
Published: (2024)

Differentially Private Synthetic Data Generation for Relational Databases
by: Alimohammadi, Kaveh, et al.
Published: (2024)

Differentially Private Selection using Smooth Sensitivity
by: Chaves, Iago, et al.
Published: (2025)

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
by: Daga, Miit, et al.
Published: (2026)

FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models
by: Mahyar, Abtin, et al.
Published: (2026)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
by: Hu, Qi, et al.
Published: (2024)

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
by: Matsumoto, Tomoya, et al.
Published: (2026)

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution
by: Humphries, Thomas, et al.
Published: (2026)

Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)

Leveraging large language models for SQL behavior-based database intrusion detection
by: Shlezinger, Meital, et al.
Published: (2025)

Supersonic OT: Fast Unconditionally Secure Oblivious Transfer
by: Abadi, Aydin, et al.
Published: (2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning
by: Zheng, Yihao, et al.
Published: (2024)

Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
by: Rohde, Florens, et al.
Published: (2024)

Differentially Private Learned Indexes
by: Du, Jianzhang, et al.
Published: (2024)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations
by: Zhang, Jun, et al.
Published: (2025)

Towards Split Learning-based Privacy-Preserving Record Linkage
by: Zervas, Michail, et al.
Published: (2024)

ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
by: Xiao, Yingtai, et al.
Published: (2023)

Learning from Anonymized and Incomplete Tabular Data
by: Lange, Lucas, et al.
Published: (2026)

Fast Private Adaptive Query Answering for Large Data Domains
by: Fuentes, Miguel, et al.
Published: (2026)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
by: Seeman, Jeremy, et al.
Published: (2023)

On the Query Complexity of Training Data Reconstruction in Private Learning
by: Mukherjee, Prateeti, et al.
Published: (2023)

Towards Privacy-Preserving Range Queries with Secure Learned Spatial Index over Encrypted Data
by: Wang, Zuan, et al.
Published: (2025)

NetChain: Authenticated Blockchain Top-k Graph Data Queries and its Application in Asset Management
by: Zhao, Hongguang, et al.
Published: (2025)

Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
by: Liu, Chang, et al.
Published: (2025)

Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
by: Lin, Meiyu, et al.
Published: (2025)

Secure Query Processing with Linear Complexity
by: Luo, Qiyao, et al.
Published: (2024)

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models
by: Shankar, Aditya, et al.
Published: (2024)

SchemaDB: Structures in Relational Datasets
by: Christopher, Cody James, et al.
Published: (2021)