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Showing 440 results for "devavrat shah" in Computer Science
Computer Science Preprint PDF DOI

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks

Ashikuzzaman, Md. Saifuzzaman Abhi, Mahabubur Rahman, Md. Manjur Ahmed, Md. Mehedi Hasan, Md. Ahsan Arif · 2026

Software-Defined Networking (SDN) is another technology that has been developing in the last few years as a relevant technique to improve network programmability and administration. Nonetheless, its c…

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Computer Science Preprint PDF DOI

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le · 2026

Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendation outcomes. Existing…

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Computer Science Preprint PDF DOI

Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment

Eileen Kapel, Jan Lennartz, Luis Cruz, Diomidis Spinellis, Arie van Deursen · 2026

Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, …

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Computer Science Preprint PDF DOI

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization

Miit Daga, Swarna Priya Ramu · 2026

Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify that the contracted algorithm was faithfully execu…

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Computer Science Preprint PDF DOI

RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection

Busra Caliskan, Ibrahim Gulatas, H. Hakan Kilinc, A. Halim Zaim · 2026

Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution. Research indicates that ransomware is the most reported cybercrime in terms o…

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Computer Science Preprint PDF DOI

Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores

Ralf Beuthan, Megan Coffee, Heejin Kim, Na Yeon Kim, Pedro Kringen, Elisabeth Hildt, Haekyung Lee, Seunggeun Lee, Emilie Wiinblad Mathez, Sira Maliphol, Vadim Pak, Yuna Park, Stephan Sonnenberg, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari · 2026

The polygenic risk scores (PRS) have emerged as an important methodology for quantifying genetic predisposition to complex traits and clinical disease. Significant progress has been made in applying P…

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Computer Science Preprint PDF DOI

AITH: A Post-Quantum Continuous Delegation Protocol for Human-AI Trust Establishment

Zhaoliang Chen · 2026

The rapid deployment of AI agents acting autonomously on behalf of human principals has outpaced the development of cryptographic protocols for establishing, bounding, and revoking human-AI trust rela…

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Computer Science Preprint PDF DOI

Shapley-Guided Neural Repair Approach via Derivative-Free Optimization

Xinyu Sun, Wanwei Liu, Haoang Chi, Tingyu Chen, Xiaoguang Mao, Shangwen Wang, Lei Bu, Jingyi Wang, Yang Tan, Zhenyi Qi · 2026

DNNs are susceptible to defects like backdoors, adversarial attacks, and unfairness, undermining their reliability. Existing approaches mainly involve retraining, optimization, constraint-solving, or …

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Computer Science Preprint PDF DOI

Interpretable Ensemble Learning for Network Traffic Anomaly Detection: A SHAP-based Explainable AI Framework for Embedded Systems Security

Wanru Shao · 2026

Network security threats in embedded systems pose significant challenges to critical infrastructure protection. This paper presents a comprehensive framework combining ensemble learning methods with e…

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Computer Science Preprint PDF DOI

zk-X509: Privacy-Preserving On-Chain Identity from Legacy PKI via Zero-Knowledge Proofs

Yeongju Bak (Tokamak Network, Singapore) · 2026

Public blockchains impose an inherent tension between regulatory compliance and user privacy. Existing on-chain identity solutions require centralized KYC attestors, specialized hardware, or Decentral…

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Computer Science Preprint PDF DOI

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks

Rakib Hossain Sajib, Md. Rokon Mia, Prodip Kumar Sarker, Abdullah Al Noman, Md Arifur Rahman · 2026

The Internet of Vehicles (IoV) has become an essential component of smart transportation systems, enabling seamless interaction among vehicles and infrastructure. In recent years, it has played a prog…

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Computer Science Preprint PDF DOI

An Explainable Federated Framework for Zero Trust Micro-Segmentation in IIoT Networks

Muhammad Liman Gambo, Ahmad Almulhem · 2026

Micro-segmentation as a core requirement of zero trust architecture (ZTA) divides networks into small security zones, called micro-segments, thereby minimizing impact of security breaches and restrict…

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Computer Science Preprint PDF DOI

Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

Samuel Ozechi, Jennifer Okonkwoabutu · 2026

As the Internet of Things (IoT) continues to expand across critical infrastructure, smart environments, and consumer devices, securing them against cyber threats has become increasingly vital. Traditi…

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Computer Science Preprint PDF DOI

A chaotic flux cipher based on the random cubic family $f_{c_n}(z)=z^3+c_n z$

Pouya Mehdipour, Alexandre Miranda Alves, Gerardo Honorato, Mostafa Salarinoghabi · 2026

This paper presents a symmetric stream cipher that utilizes the dynamic properties of random cubic mappings in the complex plane to generate pseudo-random key streams. The system is based on the itera…

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Computer Science Preprint PDF DOI

Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange

Cao Tram Anh Hoang · 2026

This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It aims to (1) identify the organisational and digit…

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Computer Science Preprint PDF DOI

LAAF: Logic-layer Automated Attack Framework A Systematic Red-Teaming Methodology for LPCI Vulnerabilities in Agentic Large Language Model Systems

Hammad Atta, Ken Huang, Kyriakos Rock Lambros, Yasir Mehmood, Zeeshan Baig, Mohamed Abdur Rahman, Manish Bhatt, M. Aziz Ul Haq, Muhammad Aatif, Nadeem Shahzad, Kamal Noor, Vineeth Sai Narajala, Hazem Ali, Jamel Abed · 2026

Agentic LLM systems equipped with persistent memory, RAG pipelines, and external tool connectors face a class of attacks - Logic-layer Prompt Control Injection (LPCI) - for which no automated red-team…

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Computer Science Preprint PDF DOI

Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation

Surya Vardhan Yalavarthi · 2026

Corrective Retrieval Augmented Generation (CRAG) improves the robustness of RAG systems by evaluating retrieved document quality and triggering corrective actions. However, the original implementation…

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Computer Science Preprint PDF DOI

Governing Dynamic Capabilities: Cryptographic Binding and Reproducibility Verification for AI Agent Tool Use

Ziling Zhou · 2026

AI agents dynamically acquire tools, orchestrate sub-agents, and transact across organizational boundaries, yet no existing security layer verifies what an agent can do, whether it executed what it cl…

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Computer Science Preprint PDF DOI

Sovereign-OS: A Charter-Governed Operating System for Autonomous AI Agents with Verifiable Fiscal Discipline

Aojie Yuan, Haiyue Zhang, Ziyi Wang, Yue Zhao · 2026

As AI agents evolve from text generators into autonomous economic actors that accept jobs, manage budgets, and delegate to sub-agents, the absence of runtime governance becomes a critical gap. Existin…

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Computer Science Preprint PDF DOI

AEGIS: No Tool Call Left Unchecked -- A Pre-Execution Firewall and Audit Layer for AI Agents

Aojie Yuan, Zhiyuan Su, Yue Zhao · 2026

AI agents increasingly act through external tools: they query databases, execute shell commands, read and write files, and send network requests. Yet in most current agent stacks, model-generated tool…

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