💻 Category

cs

3020 papers

💻 computer science

NDN-Aware Cooperative Multi-Agent Deep Reinforcement Learning for Distributed Cache Pollution Attack Mitigation

This paper proposes an NDN-aware cooperative Multi-Agent Deep Deterministic Policy Gradient (MADDPG) framework that leverages decentralized learning and specialized state representations to effectively mitigate Cache Pollution Attacks in Named Data Networking, demonstrating superior cache efficiency, faster convergence, and enhanced resilience compared to single-agent and conventional approaches.

Sethu S, Manikandan A2026-07-09
💻 computer science

A Linear Mapping-Enhanced PPO Framework for Dynamic Load Balancing in Smart City Edge Systems

This paper proposes a Linear Mapping-Enhanced Proximal Policy Optimization (LME-PPO) framework that leverages deep reinforcement learning to optimize dynamic load balancing and reduce system latency in smart city edge computing environments by effectively mapping complex task spaces and ensuring computational equilibrium across edge servers.

Fenghui Zhang, Yuhang Jiang, Yuhao Xu, Huaqiang Xi, Qiu Xu, Shijian Zheng, Maosheng Fu2026-07-09
💻 computer science

Consensus among Learning Agents: A Multi-AgentReinforcement Learning Framework withGame-Theoretic Incentives

This paper proposes a multi-agent reinforcement learning framework with game-theoretic incentives to achieve consensus among autonomous, learning blockchain participants, demonstrating that policies converge to equitable and adversarial-tolerant equilibria while identifying specific architectural limitations and refining theoretical convergence guarantees.

Chen Song, Jing Li, Tao Xie2026-07-08
💻 computer science

Understanding Adoption of AI-Based Cybersecurity Systems: The Roles of Cybersecurity Awareness, Trust, and Digital Literacy

This study utilizes Structural Equation Modeling to demonstrate that while AI-driven cybersecurity awareness and digital literacy significantly promote the adoption of AI-based cybersecurity systems, trust in these systems does not directly influence behavioral intention, highlighting the critical need for organizations to prioritize cybersecurity awareness and digital literacy development over trust-building alone.

Abdulkadir Jeilani Mohamud, Abdifatah Nour Rage, Mohamed Adam Isak, Abdisatar Ibrahim Arabow, Abdiwahab Osman Siad2026-07-08
💻 computer science

DustFormer for Joint Dust Segmentation and Density Estimation in Environmental Monitoring Using Deep Learning

This paper introduces DustFormer, a deep learning-based encoder–decoder framework that simultaneously performs dust segmentation and density estimation in RGB images, achieving high accuracy and robustness for environmental monitoring, precision agriculture, and smart sensing applications.

Falah Y H Ahmed, Eimad Abusham, Ibrahim Salim Sulaiman, Reem Al-Maawali, Bwalya Kelvin Joseph, Muhammad Zakarya2026-07-08
💻 computer science

Enhancing Symbolic Execution of Programs for Interprocedural Control Flow Path Feasibility Analysis

This paper proposes a directed symbolic execution method enhanced with automatic symbolization and loop-bounding strategies to efficiently verify interprocedural control flow path feasibility, demonstrating superior recall and precision compared to existing tools like KLEEF when applied to real-world projects and static analysis integration.

Hovhannes Movsisyan, Hripsime Hovhannisyan, Tigran Avagyan, Hayk Aslanyan2026-07-08
💻 computer science

Comparative Performance of General-Purpose Large Language Models and a Specialized Clinical AI Tool on OKAP-Style Ophthalmology Questions

This study evaluates five large language models on OKAP-style ophthalmology questions, revealing that general-purpose models, particularly Gemini-Pro-3, outperformed the specialized clinical AI tool OpenEvidence in accuracy and calibration, while highlighting significant performance heterogeneity and shared reasoning failures across all systems.

Alon Moore Galindo, Amit Ginsberg, Razan Saadi, Tomer Kerman, David Schwartzman, Anat Loewenstein, Igal Leibovitch2026-07-08
💻 computer science

Proximal Policy Optimization-Based Intrusion Detection with Deep Latent Feature Learning

This paper proposes a novel intrusion detection framework that combines a two-stage stacked autoencoder for deep feature extraction with a Proximal Policy Optimization-based deep reinforcement learning agent, demonstrating competitive performance and efficiency across multiple benchmark datasets.

Brahim El malki, Nidal Nasser, Ahmed El Ouadrhiri, Khalid EL FAZAZY, Hamid Tairi, Jamal Riffi2026-07-08
💻 computer science

A confidence-convergence decision layer for reliability-aware sequential recognition under limited observations

This paper proposes a confidence-convergence-based sequential recognition method for underwater moving targets that dynamically updates behavior-type confidence and accepts decisions only when dominance, temporal stability, and inter-class separation are jointly satisfied, thereby significantly improving accuracy and reducing errors under limited and uncertain observations compared to existing baselines.

Guangyu Luo2026-07-08
💻 computer science

HiRoC: Selective History Routing and Disagreement-Aware Calibration for Multimodal Conversational Emotion Recognition

The paper proposes HiRoC, a multimodal emotion recognition framework that enhances prediction accuracy by selectively routing relevant conversational history through speaker-typed graphs and calibrating decisions using cross-modal disagreement to address limitations in existing graph-based methods.

Gong Li, Huiqiang Guo, Mengdi Liu, Ziyin Wei, Bowen Gu, Tiquan Gu, Dan Ma2026-07-08