Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection by Brij B. Gupta, Akshat Gaurav, Varsha Arya, Shavi Bansal, Razaz Waheeb Attar, Ahmed Alhomoud, Konstantinos Psannis

Subjects: “…Malware detection…”
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A Paradigm for Modeling Infectious Diseases: Assessing Malware Spread in Early-Stage Outbreaks by Egils Ginters, Uga Dumpis, Laura Calvet Liñán, Miquel Angel Piera Eroles, Kawa Nazemi, Andrejs Matvejevs, Mario Arturo Ruiz Estrada

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Applying fractional calculus to malware spread: A fractal-based approach to threat analysis by Nausheen Razi, Muhammad Bilal Riaz, Ambreen Bano, Tayyab Kamran, Umar Ishtiaq, Anum Shafiq

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A Dynamically Reconfigured Multi-FPGA Network Platform for High-Speed Malware Collection by Sascha Mühlbach, Andreas Koch

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Applying fractional calculus to malware spread: A fractal-based approach to threat analysis. by Nausheen Razi, Muhammad Bilal Riaz, Ambreen Bano, Tayyab Kamran, Umar Ishtiaq, Anum Shafiq

“…Malware is a common word in modern era. Everyone using computer is aware of it. …”
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Android malware family classification method based on the image of bytecodeConstruction of MDS matrices by Yi-min YANG, Tie-ming CHEN

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Apk2Audio4AndMal: Audio Based Malware Family Detection Framework by Oguz Emre Kural, Erdal Kilic, Ceyda Aksac

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Stochastic Stabilization of Malware Propagation in Wireless Sensor Network via Aperiodically Intermittent White Noise by Xiaojing Zhong, Baihao Peng, Feiqi Deng, Guiyun Liu

“…Our theoretical results can be applied to understand the observed mechanisms of malware and design interventions to control the spread of malware. …”
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MalAware: A tabletop exercise for malware security awareness education and incident response training by Giddeon Angafor, Iryna Yevseyeva, Leandros Maglaras

Subjects: “…Malware…”
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PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad, Shalini Chandra, Mueen Uddin, Taher Al-Shehari, Nasser A. Alsadhan, Syed Sajid Ullah

Subjects: “…Android malware detection…”
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MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling by Wei Gu, Hongyan Xing, Tianhao Hou

“…These promising experimental results show that MFEMDroid is an effective approach to detect Android malware.…”
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Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning by Jiankun Sun, Xiong Luo, Weiping Wang, Yang Gao, Wenbing Zhao

“…Therefore, learning from noisy labels is significant for machine learning‐enabled Malware identification. In this study, motivated by the symmetric cross entropy with satisfactory noise robustness, the authors propose a robust Malware identification method using temporal convolutional network (TCN). …”
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Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game by Shigen SHEN, Sheng FENG, Haiping ZHOU, Longjun HUANG, Keli HU, Qiying CAO

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FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

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Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment by Moneerah Alotaibi, Ghadah Aldehim, Mashael Maashi, Mashael M. Asiri, Faheed A.F. Alrslani, Sultan Refa Alotaibi, Ayman Yafoz, Raed Alsini

Subjects: “…Malware detection…”
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An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices by Subir Panja, Subhash Mondal, Amitava Nag, Jyoti Prakash Singh, Manob Jyoti Saikia, Anup Kumar Barman

Subjects: “…Malware detection…”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

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A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling by Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, Radwan M. Batyha, Didi Rosiyadi

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Cybersecurity Infrastructure Compliance Key Factors to Detect and Mitigate Malware Attacks in SMEs: A Systematic Literature Review by Adnan Bin Amanat Ali, Ramesh Kumar Ayyasamy, Rehan Akbar, Abdulkarim Kanaan Jebna, Kiran Adnan

“…Malwares are growing exponentially and are becoming challenging with time, especially for Small and Medium Enterprises (SMEs). …”
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