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1

KernelOracle: Predicting the Linux Scheduler's Next Move with Deep Learning
Kahu, Sampanna Yashwant

Computer Science - Machi... Computer Science - Opera... D.4.1 I.2.0 I.2.1
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2

Rethinking Provenance Completeness with a Learning-Based Linux Scheduler
Mao, Jinsong ; Ujcich, Benjamin E. ; Ma, Shiqing

Cryptography and Securit... Operating Systems
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3

DaemonSec: Examining the Role of Machine Learning for Daemon Security in Linux Environments
Farjad, Sheikh Muhammad

Computer Science - Crypt... Computer Science - Human...
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4

Ransomware Detection Using Machine Learning in the Linux Kernel
Brodzik, Adrian ; Malec-Kruszyński, Tomasz ; Niewolski, Wojciech ; et al.

Computer Science - Crypt... Computer Science - Machi...
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5

Developing a Web-Based Environment for Learning to Solve Problems with the Linux Command Line: The Problem-Posing Approach
Mihci, C. ; Satici, A. F.
16

Web Based Instruction Problem Solving Problem Based Learning Computer Science Educati... Programming Computer Software …
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6

Securing Linux Cloud Environments: Privacy-Aware Federated Learning Framework for Advanced Malware Detection in Linux Clouds
Tom Landman ; Nir Nissim
IEEE Access, Vol 13, Pp 30377-30394 (2025)

Deep learning federated learning malware detection privacy Electrical engineering.... TK1-9971
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7

Security Hardening Using FABRIC: Implementing a Unified Compliance Aggregator for Linux Servers
Paul, Sheldon ; Alsmadi, Izzat

Cryptography and Securit... Machine Learning
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8

Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis
Borges, Heraldo ; Pereira, Juliana Alves ; Khelladi, Djamel Eddine ; et al.
EASE 2025 - Evaluation and Assessment in Software Engineering, Jun 2025, Istanbul, Turkey

Computer Science - Softw... Computer Science - Machi...
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9

Abaci-finder: Linux kernel crash classification through stack trace similarity learning
Shi, Heyuan ; Wang, Guyu ; Fu, Ying ; et al.
In Journal of Parallel and Distributed Computing October 2022 168:70-79

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11

Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Landman, Tom ; Nissim, Nir
In Neural Networks December 2021 144:648-685

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12

Automatic linux malware detection using binary inspection and runtime opcode tracing
Alonso, Martí ; Gironés, Andreu ; Costa, Juan-José ; et al.
In Microprocessors and Microsystems February 2026 120

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13

Deep-learning Based DKOM Attack Detection for Linux System
CHEN Liang, SUN Cong
Jisuanji kexue, Vol 51, Iss 9, Pp 383-392 (2024)

memory forensics malware detection operating system securit... graph neural network binary analysis Computer software …
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14

Lynx: a learning linux prefetching mechanism for SSD performance model
Laga, A. ; Boukhobza, J. ; Koskas, M. ; et al.
2016 5th Non-Volatile Memory Systems and Applications Symposium (NVMSA) Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2016 5th. :1-6 Aug, 2016

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15

PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel
Hoang, Thong ; Lawall, Julia ; Tian, Yuan ; et al.
IEEE Transactions on Software Engineering 2019

Computer Science - Softw...
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16

NPFTaint: Detecting highly exploitable vulnerabilities in Linux-based IoT firmware with network parsing functions
Yue, Shudan ; Li, Qingbao ; Zhang, Guimin ; et al.
In Computers & Security December 2025 159

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17

GuardFS: A file system for integrated detection and mitigation of Linux-based ransomware
von der Assen, Jan ; Feng, Chao ; Huertas Celdrán, Alberto ; et al.
In Journal of Information Security and Applications September 2025 93

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18

E-learning Course Educational Linux for High School Students in Brazil
Comarella, Rafaela Lunardi ; Silveira, Ricardo Azambuja ; Campos, Ronaldo Lima Rocha ; et al.
2012 IEEE 12th International Conference on Advanced Learning Technologies Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on. :268-269 Jul, 2012

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19

A Novel Intelligent Garbage Classification System Based on Deep Learning and an Embedded Linux System
Bowen Fu ; Su Li ; Jiangdong Wei ; et al.
IEEE Access, Vol 9, Pp 131134-131146 (2021)

Deep learning embedded Linux system intelligent garbage clas... MobileNetV3 transfer learning Electrical engineering.... …
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20

MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments
Panker, Tomer ; Cohen, Aviad ; Landman, Tom ; et al.
In Journal of Information Security and Applications December 2024 87

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