Malware recognition approach based on self‐similarity and an improved clustering algorithm by Jinfu Chen, Chi Zhang, Saihua Cai, Zufa Zhang, Lu Liu, Longxia Huang

“…Abstract The recognition of malware in network traffic is an important research problem. …”
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Influence of Removable Devices' Heterouse on the Propagation of Malware by Xie Han, Yi-Hong Li, Li-Ping Feng, Li-Peng Song

“…The effects of removable devices’ heterouse in different areas on the propagation of malware spreading via removable devices remain unclear. …”
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

Subjects: “…malware detection…”
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Apk2Audio4AndMal: Audio Based Malware Family Detection Framework by Oguz Emre Kural, Erdal Kilic, Ceyda Aksac

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Malware Analysis Using Visualized Image Matrices by KyoungSoo Han, BooJoong Kang, Eul Gyu Im

“…Our experimental results show that the image matrices of malware can effectively be used to classify malware families both statically and dynamically with accuracy of 0.9896 and 0.9732, respectively.…”
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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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Behavior Intention Derivation of Android Malware Using Ontology Inference by Jian Jiao, Qiyuan Liu, Xin Chen, Hongsheng Cao

“…Previous researches on Android malware mainly focus on malware detection, and malware’s evolution makes the process face certain hysteresis. …”
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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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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

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Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms by Seunghyun Park, Jin-Young Choi

“…In this study, we propose a machine learning-based data analysis method to accurately detect abnormal behaviors due to malware in large-scale network traffic in real time. …”
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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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Power Consumption Based Android Malware Detection by Hongyu Yang, Ruiwen Tang

“…In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption. …”
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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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Android Malware Threats: A Strengthened Reverse Engineering Approach to Forensic Analysis by Ridho Surya Kusuma, Muhammad Dirga Purnomo Putra

Subjects: “…Malware Android…”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

Subjects: “…malware detection…”
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A Data Mining Classification Approach for Behavioral Malware Detection by Monire Norouzi, Alireza Souri, Majid Samad Zamini

“…Also our proposed data mining approach is more efficient for detecting malware and behavioral classification of malware can be useful to detect malware in a behavioral antivirus.…”
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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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Combined dynamic multi-feature and rule-based behavior for accurate malware detection by Mohamed Belaoued, Abdelaziz Boukellal, Mohamed Amir Koalal, Abdelouahid Derhab, Smaine Mazouzi, Farrukh Aslam Khan

“…Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. …”
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