Imagen de Portada

COPS: A Compact On-device Pipeline for real-time Smishing detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	S, Harichandana B S, Kumar, Sumit, Ujjinakoppa, Manjunath Bhimappa, Raja, Barath Raj Kandur
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
por: Shibli, Ashfak Md, et al.
Publicado: (2024)

TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy
por: Agarwal, Vibhav, et al.
Publicado: (2024)

DAIRE: A lightweight AI model for real-time detection of Controller Area Network attacks in the Internet of Vehicles
por: Alam, Shahid, et al.
Publicado: (2026)

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
por: Pramanik, Vishal, et al.
Publicado: (2026)

A Framework for Cryptographic Verifiability of End-to-End AI Pipelines
por: Balan, Kar, et al.
Publicado: (2025)

SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
por: Ponte, Andrea, et al.
Publicado: (2024)

Evaluation Pipeline for systematically searching for Anomaly Detection Systems
por: Rokohl, Florian, et al.
Publicado: (2025)

PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
por: Tamboli, Dipesh, et al.
Publicado: (2026)

Web Phishing Net (WPN): A scalable machine learning approach for real-time phishing campaign detection
por: Zia, Muhammad Fahad, et al.
Publicado: (2025)

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours
por: Dheekonda, Raja Sekhar Rao, et al.
Publicado: (2026)

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
por: Zhang, Ruisi, et al.
Publicado: (2025)

Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
por: Chaudhary, Devashish, et al.
Publicado: (2025)

Agentic AI Microservice Framework for Deepfake and Document Fraud Detection in KYC Pipelines
por: Kubam, Chandra Sekhar
Publicado: (2026)

Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines
por: Jamshidi, Saeid, et al.
Publicado: (2026)

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
por: Sahay, Rishikesh, et al.
Publicado: (2026)

A Preliminary Study on Using Large Language Models in Software Pentesting
por: Shashwat, Kumar, et al.
Publicado: (2024)

The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
por: Wang, Haonan, et al.
Publicado: (2024)

Deep learning based intelligent IDS for Large-scale IoT networks
por: Andrade, Isha, et al.
Publicado: (2026)

Network evasion detection with Bi-LSTM model
por: Chen, Kehua, et al.
Publicado: (2025)

Research and application of artificial intelligence based webshell detection model: A literature review
por: Ma, Mingrui, et al.
Publicado: (2024)

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

A Synthetic Conversational Smishing Dataset for Social Engineering Detection
por: Lochstampfor, Carl, et al.
Publicado: (2026)

ActDroid: An active learning framework for Android malware detection
por: Muzaffar, Ali, et al.
Publicado: (2024)

Seclens: Role-specific Evaluation of LLM's for security vulnerablity detection
por: Halder, Subho, et al.
Publicado: (2026)

IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
por: Panigrahi, Damodar, et al.
Publicado: (2025)

The importance of the clustering model to detect new types of intrusion in data traffic
por: Abd, Noor Saud, et al.
Publicado: (2024)

Anomaly detection in network flows using unsupervised online machine learning
por: Miguel-Diez, Alberto, et al.
Publicado: (2025)

Multidomain transformer-based deep learning for early detection of network intrusion
por: Liu, Jinxin, et al.
Publicado: (2023)

A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
por: Kolipaka, Varshita, et al.
Publicado: (2024)

Enterprise AI Must Enforce Participant-Aware Access Control
por: Bhatt, Shashank Shreedhar, et al.
Publicado: (2025)

Capturing the security expert knowledge in feature selection for web application attack detection
por: Riverol, Amanda, et al.
Publicado: (2024)

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
por: Ibanez-Lissen, Luis, et al.
Publicado: (2025)

Poster: Long PHP webshell files detection based on sliding window attention
por: Wang, Zhiqiang, et al.
Publicado: (2025)

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
por: Bensaoud, Ahmed, et al.
Publicado: (2025)

Recursive language models for jailbreak detection: a procedural defense for tool-augmented agents
por: Shavit, Doron
Publicado: (2026)

An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks
por: Alqahtani, Abdullah H
Publicado: (2024)

Exploring AI in Steganography and Steganalysis: Trends, Clusters, and Sustainable Development Potential
por: Sahu, Aditya Kumar, et al.
Publicado: (2025)

An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
por: Mutalib, Noor Hazlina Abdul, et al.
Publicado: (2025)

Next-generation cyberattack detection with large language models: anomaly analysis across heterogeneous logs
por: Chagna, Yassine, et al.
Publicado: (2026)

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs
por: Thompson, Isaiah, et al.
Publicado: (2026)