Game theory-based malware propagation model for wireless sensor network by Haiping ZHOU, Shigen SHEN, Longjun HUANG, Sheng FENG

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The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks by Laura Quiroga-Sánchez, Germán A. Montoya, Carlos Lozano-Garzon

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Analysis and defense of the BlackEnergy malware in the Ukrainian electric power system by Yong WANG, Yu-ming WANG, Lin ZHANG, Lin-peng ZHANG

“…Ukrainian electric power system suffered BlackEnergy virus attacks in December 2015, resulting in blackout accident occurred simultaneously at multiple areas in Ivano-Frankovsk region, the malware also pose a threat to the electric power system security in China. …”
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MalSEIRS: Forecasting Malware Spread Based on Compartmental Models in Epidemiology by Isabella Martínez Martínez, Andrés Florián Quitián, Daniel Díaz-López, Pantaleone Nespoli, Félix Gómez Mármol

“…In this context, the paper at hand proposes MalSEIRS, a novel dynamic model, to predict malware distribution in a network based on the SEIRS epidemiological model. …”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

Subjects: “…Malware detection…”
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Linear SVM-Based Android Malware Detection for Reliable IoT Services by Hyo-Sik Ham, Hwan-Hee Kim, Myung-Sup Kim, Mi-Jung Choi

“…In this paper, we apply a linear support vector machine (SVM) to detect Android malware and compare the malware detection performance of SVM with that of other machine learning classifiers. …”
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The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures by Ajit Narayanan, Yi Chen, Shaoning Pang, Ban Tao

“…The aim of this paper is to evaluate a static structure approach to malware modelling using the growing malware signature databases now available. …”
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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

Subjects: “…Android Malware…”
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Scheme for identifying malware traffic with TLS data based on machine learning by Ziming LUO, Shubin XU, Xiaodong LIU

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Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

Subjects: “…Dynamic malware signatures…”
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Multi-feature fusion malware detection method based on attention and gating mechanisms by Zhongyuan CHEN, Jianbiao ZHANG

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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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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Incremental clustering method based on Gaussian mixture model to identify malware family by Jianwei HU, Xin CHE, Man ZHOU, Yanpeng CUI

Subjects: “…malware family…”
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Bifurcation of a Fractional-Order Delayed Malware Propagation Model in Social Networks by Changjin Xu, Maoxin Liao, Peiluan Li

“…Thus, the study on malware propagation model plays an important role in network security. …”
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Android malware detection method based on permission sequential pattern mining algorithm by Huan YANG, Yu-qing ZHANG, Yu-pu HU, Qi-xu LIU

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WSN malware infection model based on cellular automaton and static Bayesian game by Hong ZHANG, Shigen SHEN, Xiaojun WU, Qiying CAO

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Android malware detection method based on byte-code image and deep learning by Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG

Subjects: “…malware detection…”
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Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection by Juan Alegre-Sanahuja, Javier Camacho, Juan Carlos Cortés López, Francisco-José Santonja, Rafael Jacinto Villanueva Micó

“…In the last years the number of malware Apps that the users download to their devices has risen. …”
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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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