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Journal Articles

A novel approach for malware detection and prediction based on crucial behavior of infected device using random forest algorithm compared accuracy over support vector machine algorithm

M. Hanumanth Reddy, A. Gayathri

AIP Conf. Proc. 3267, 020139 (2025)

https://doi.org/10.1063/5.0264711

Published: June 2025

View articletitled, A novel approach for malware detection and prediction based on crucial behavior of infected device using random forest algorithm compared accuracy over support vector machine algorithm

Journal Articles

A review on AI-based techniques for malware identification and prevention

Gunasekaran Rajan, Macklin Abraham Navamani Jesuharan, Sanjith Sathya Joseph, Ranjit Jeba Thangaiah Pon Athisayam

AIP Conf. Proc. 3291, 030038 (2025)

https://doi.org/10.1063/5.0270976

Published: June 2025

View articletitled, A review on AI-based techniques for malware identification and prevention

Journal Articles

An overview of the latest developments in malware detection using deep learning

Deepthi Palakurthy, Kambhampati Saritha, Madugula Anjaneyulu, Jhade Srinivas, Gaurav Thakur, Balpreet Singh

AIP Conf. Proc. 3157, 030002 (2025)

https://doi.org/10.1063/5.0261629

Published: April 2025

View articletitled, An overview of the latest developments in malware detection using deep learning

Journal Articles

Predicting the efficient malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with linear regression algorithm

M. Hanumanth Reddy, A. Gayathri

AIP Conf. Proc. 3270, 020104 (2025)

https://doi.org/10.1063/5.0261624

Published: April 2025

View articletitled, Predicting the efficient malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with linear regression algorithm

Journal Articles

A preliminary study for Malware detection across various platforms

Omer Sheet Attallah, Hussam J. Mohammed, Ahmed Noori Rashid

AIP Conf. Proc. 3282, 030017 (2025)

https://doi.org/10.1063/5.0269129

Published: April 2025

View articletitled, A preliminary study for Malware detection across various platforms

Journal Articles

Implementation of Malware detection using SVM-based deep learning approach

Shyam Manohar Balasubramanian, Pagerathan Venkatasamy Myviliselvi, Santhi Palanisamy

AIP Conf. Proc. 3279, 020153 (2025)

https://doi.org/10.1063/5.0262181

Published: April 2025

View articletitled, Implementation of Malware detection using SVM-based deep learning approach

Journal Articles

Permissions-based detection of Malware for android environment using CNN model

Ammar Hameed Al-Gharrawi, Sundos A. Hameed Alazawi

AIP Conf. Proc. 3264, 030008 (2025)

https://doi.org/10.1063/5.0259008

Published: March 2025

View articletitled, Permissions-based detection of Malware for android environment using CNN model

Journal Articles

Unified Malware detection approach: Leveraging optimal features across diverse platforms

Omer Sheet Attallah, Hussam J. Mohammed, Ahmed Noori Rashid

AIP Conf. Proc. 3264, 030032 (2025)

https://doi.org/10.1063/5.0261893

Published: March 2025

View articletitled, Unified Malware detection approach: Leveraging optimal features across diverse platforms

Journal Articles

Enhancing the prediction of Malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with particle swarm optimization

M. Hanumanth Reddy, A. Gayathri

AIP Conf. Proc. 3252, 020028 (2025)

https://doi.org/10.1063/5.0260195

Published: March 2025

View articletitled, Enhancing the prediction of Malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with particle swarm optimization

Journal Articles

Android Malware prediction based on novel enhanced LSTM compared with random forest algorithms to predict accuracy

D. Lokesh, S. Parthiban

AIP Conf. Proc. 3252, 020067 (2025)

https://doi.org/10.1063/5.0259055

Published: March 2025

View articletitled, Android Malware prediction based on novel enhanced LSTM compared with random forest algorithms to predict accuracy

Journal Articles

A comprehensive survey on robust Malware detection model learning from adversarial attacks

Manju Dhull, Chhavi Rana

AIP Conf. Proc. 3217, 020017 (2024)

https://doi.org/10.1063/5.0237002

Published: December 2024

View articletitled, A comprehensive survey on robust Malware detection model learning from adversarial attacks

Journal Articles

Malware detection based on deep learning approach in cloud computing

Israa E. Salem, Karim H. Al-Saedi

AIP Conf. Proc. 3219, 030004 (2024)

https://doi.org/10.1063/5.0237106

Published: November 2024

View articletitled, Malware detection based on deep learning approach in cloud computing

Journal Articles

Malware attack deletion and prevention on wireless sensor network using novel honey bee routing protocol comparing with DSDV routing protocol

K. Mahesh Kumar Raju, G. Kumaran

AIP Conf. Proc. 3193, 020242 (2024)

https://doi.org/10.1063/5.0233066

Published: November 2024

View articletitled, Malware attack deletion and prevention on wireless sensor network using novel honey bee routing protocol comparing with DSDV routing protocol

Journal Articles

Detection of malware in Android environment using machine learning techniques

Farah Rafid Salman, Amer Abdulmajeed Abdul Rahman

AIP Conf. Proc. 3207, 050005 (2024)

https://doi.org/10.1063/5.0234153

Published: September 2024

View articletitled, Detection of malware in Android environment using machine learning techniques

Journal Articles

Comparative analysis of novel gradient boosting algorithm and recurrent neural network algorithms for malware detection and classification

K. Rajlakshmi, R. Khilar, B. Poorani, O. S. John, L. C. Yong

AIP Conf. Proc. 3161, 020324 (2024)

https://doi.org/10.1063/5.0229302

Published: August 2024

View articletitled, Comparative analysis of novel gradient boosting algorithm and recurrent neural network algorithms for malware detection and classification

Journal Articles

Enhancing data security in cloud using artificial neural network with backward propagation

R. M. Muthulakshmi, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila

AIP Conf. Proc. 3161, 020339 (2024)

https://doi.org/10.1063/5.0229420

Published: August 2024

View articletitled, Enhancing data security in cloud using artificial neural network with backward propagation

Journal Articles

Android malware: Understanding the growing threat landscape and safeguarding measures

Shivani Thakur, Tanya Gera

AIP Conf. Proc. 3121, 040014 (2024)

https://doi.org/10.1063/5.0221856

Published: July 2024

View articletitled, Android malware: Understanding the growing threat landscape and safeguarding measures

Journal Articles

Binary grasshopper optimization based feature selection for mobile malware detection using random forest

Alia A. Hussein

AIP Conf. Proc. 3097, 050002 (2024)

https://doi.org/10.1063/5.0213296

Published: May 2024

View articletitled, Binary grasshopper optimization based feature selection for mobile malware detection using random forest

Journal Articles

Analysis of android malware detection using machine learning techniques

K. Abrar Ahmed, K. Boopalan, K. Lokeshwaran, R. Sugumar, C. Kotteeswaran

AIP Conf. Proc. 2935, 020005 (2024)

https://doi.org/10.1063/5.0199036

Published: March 2024

View articletitled, Analysis of android malware detection using machine learning techniques

Journal Articles

Design and implementation of honeypot indicator of compromise (IoC) profiling using malware information sharing platform (MISP)

Muhammad A. Salamun, Fadhlan Z. Muttaqin, Nur R. Rosyid

AIP Conf. Proc. 2828, 110003 (2023)

https://doi.org/10.1063/5.0164216

Published: December 2023

View articletitled, Design and implementation of honeypot indicator of compromise (IoC) profiling using malware information sharing platform (MISP)

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A novel approach for malware detection and prediction based on crucial behavior of infected device using random forest algorithm compared accuracy over support vector machine algorithm

A review on AI-based techniques for malware identification and prevention

An overview of the latest developments in malware detection using deep learning

Predicting the efficient malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with linear regression algorithm

A preliminary study for Malware detection across various platforms

Implementation of Malware detection using SVM-based deep learning approach

Permissions-based detection of Malware for android environment using CNN model

Unified Malware detection approach: Leveraging optimal features across diverse platforms

Enhancing the prediction of Malware detection based on crucial exploits of infected device using random forest algorithm accuracy compared with particle swarm optimization

Android Malware prediction based on novel enhanced LSTM compared with random forest algorithms to predict accuracy

A comprehensive survey on robust Malware detection model learning from adversarial attacks

Malware detection based on deep learning approach in cloud computing

Malware attack deletion and prevention on wireless sensor network using novel honey bee routing protocol comparing with DSDV routing protocol

Detection of malware in Android environment using machine learning techniques

Comparative analysis of novel gradient boosting algorithm and recurrent neural network algorithms for malware detection and classification

Enhancing data security in cloud using artificial neural network with backward propagation

Android malware: Understanding the growing threat landscape and safeguarding measures

Binary grasshopper optimization based feature selection for mobile malware detection using random forest

Analysis of android malware detection using machine learning techniques

Design and implementation of honeypot indicator of compromise (IoC) profiling using malware information sharing platform (MISP)

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