Imagen de Portada

A Search for Good Pseudo-random Number Generators : Survey and Empirical Studies

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bhattacharjee, Kamalika, Das, Sukanta
Formato:	Preprint
Publicado:	2018
Materias:	Cryptography and Security Mathematical Software
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cellular Automata based Resource Efficient Maximally Equidistributed Pseudo-Random Number Generators
por: A, Bhuvaneswari, et al.
Publicado: (2026)

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
por: Fu, Yujia, et al.
Publicado: (2023)

Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
por: Raff, Edward, et al.
Publicado: (2025)

An Empirical Study on the Security Vulnerabilities of GPTs
por: Wu, Tong, et al.
Publicado: (2025)

An Empirical Study of Vulnerability Handling Times in CPython
por: Ruohonen, Jukka
Publicado: (2024)

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
por: Liu, Shuhan, et al.
Publicado: (2025)

CODEFUSE-DEBENCH: An Empirical Study on Readability, Recompilability, and Functionality
por: Liu, Puzhuo, et al.
Publicado: (2026)

Exploring Security Practices in Infrastructure as Code: An Empirical Study
por: Verdet, Alexandre, et al.
Publicado: (2023)

Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
por: Liu, Weijie, et al.
Publicado: (2025)

Exploring User Privacy Awareness on GitHub: An Empirical Study
por: Alfieri, Costanza, et al.
Publicado: (2024)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
por: Khanmohammadi, Kobra, et al.
Publicado: (2025)

An Empirical Security Evaluation of LLM-Generated Cryptographic Rust Code
por: Elsayed, Mohamed, et al.
Publicado: (2026)

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
por: Dozono, Kohei, et al.
Publicado: (2024)

A Large-scale Empirical Study on the Generalizability of Disclosed Java Library Vulnerability Exploits
por: Chen, Zirui, et al.
Publicado: (2026)

Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical Study
por: Cheng, Wenyuan, et al.
Publicado: (2025)

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems
por: Koscinski, Viktoria, et al.
Publicado: (2025)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
por: Guo, Hanyang, et al.
Publicado: (2024)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
por: Shang, Xiuwei, et al.
Publicado: (2025)

An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
por: Wen, Tingke, et al.
Publicado: (2024)

Security Incentivization: An Empirical Study of how Micropayments Impact Code Security
por: Rass, Stefan, et al.
Publicado: (2026)

An Empirical Study on Remote Code Execution in Machine Learning Model Hosting Ecosystems
por: Siddiq, Mohammed Latif, et al.
Publicado: (2026)

Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub
por: Siddiq, Mohammed Latif, et al.
Publicado: (2026)

Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs
por: Chen, Zhiyuan, et al.
Publicado: (2026)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
por: Shifat, Fariha Tanjim, et al.
Publicado: (2026)

Microservice Vulnerability Analysis: A Literature Review with Empirical Insights
por: Jayalath, Raveen Kanishka, et al.
Publicado: (2024)

What Makes a Good LLM Agent for Real-world Penetration Testing?
por: Deng, Gelei, et al.
Publicado: (2026)

An Empirical Analysis of EOS Blockchain: Architecture, Contract, and Security
por: Liu, Haiyang, et al.
Publicado: (2025)

An Empirical Study of Vulnerabilities in Python Packages and Their Detection
por: Quan, Haowei, et al.
Publicado: (2025)

A Survey of Web Application Security Tutorials
por: Chembakottu, Bhagya, et al.
Publicado: (2026)

Compositional Jailbreaking: An Empirical Analysis of Mutator Chain Interactions in Aligned LLMs
por: Bugnot, Reinelle Jan, et al.
Publicado: (2026)

An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management
por: Tran, Nguyen Khoi, et al.
Publicado: (2023)

When Security Meets Usability: An Empirical Investigation of Post-Quantum Cryptography APIs
por: Toruan, Marthin, et al.
Publicado: (2026)

LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests
por: Agyemang, Justice Owusu, et al.
Publicado: (2026)

An Empirical Study of Vulnerability Detection using Federated Learning
por: Zhou, Peiheng, et al.
Publicado: (2024)

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
por: Hou, Xinyi, et al.
Publicado: (2025)

Deep Learning Aided Software Vulnerability Detection: A Survey
por: Uddin, Md Nizam, et al.
Publicado: (2025)

Fuzzing Frameworks for Server-side Web Applications: A Survey
por: Dharmaadi, I Putu Arya, et al.
Publicado: (2024)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
por: Niroshan, Akila, et al.
Publicado: (2025)

An Empirical Study of Bitwise Operators Intuitiveness through Performance Metrics
por: Joshi, Shubham
Publicado: (2025)

Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study
por: Loose, Nils, et al.
Publicado: (2026)