Search results for "malware"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Yiming Hei, Renyu Yang, Hao Peng 0001, Lihong Wang, Xiaolin Xu, Jianwei Liu 0001, Hong Liu 0006, Jie Xu, Lichao Sun 0001	Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks.	IEEE Trans. Neural Networks Learn. Syst.	2024	DBLP DOI BibTeX RDF
9	Deqiang Li, Shicheng Cui, Yun Li 0009, Jia Xu 0003, Fu Xiao 0001, Shouhuai Xu	PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks.	IEEE Trans. Dependable Secur. Comput.	2024	DBLP DOI BibTeX RDF
9	Antonio Maci, Giuseppe Urbano, Antonio Coscia	Deep Q-Networks for Imbalanced Multi-Class Malware Classification.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Dakouri Gazo, Asma Patel, Mohammad Hasan	Effectiveness of Malware Incident Management in Security Operations Centres: Trends, Challenges and Research Directions.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Md. Mahbubur Rahman, Md Delwar Hossain, Hideya Ochiai, Youki Kadobayashi, Tanjim Sakib, Syed Taha Yeasin Ramadan	Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Mohammed Jawed, Sriram Parameshwaran, Nitesh Kumar, Anand Handa, Sandeep K. Shukla	ArkThor: Threat Categorization Based on Malware's C2 Communication.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Arunab Singh, Maryam Tanha, Yashsvi Girdhar, Aaron Hunter 0001	Interpretable Android Malware Detection Based on Dynamic Analysis.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Nahid Ferdous Aurna, Md Delwar Hossain, Hideya Ochiai, Yuzo Taenaka, Latifur Khan, Youki Kadobayashi	Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity.	ICISSP	2024	DBLP DOI BibTeX RDF
9	Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek	A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset.	ICACT	2024	DBLP DOI BibTeX RDF
9	Tisha Chawla, Saifur Rahman 0002, Shantanu Pal, Chandan K. Karmakar	A Robust Feature Integration for Multiclass Metamorphic Malware Detection in IoT Network.	COMSNETS	2024	DBLP DOI BibTeX RDF
9	Jingwen Wang, Peilong Li, Ethan Weitkamp, Yusuke Satani, Adam Omundsen	MalBuster: Scalable, Real-Time, and Concept Drift-Adaptive Malware Detection for Smart Environments.	CCNC	2024	DBLP DOI BibTeX RDF
9	Naoki Fukushi, Toshiki Shibahara, Hiroki Nakano, Takashi Koide, Daiki Chiba 0001	Noisy Label Detection for Multi-labeled Malware.	CCNC	2024	DBLP DOI BibTeX RDF
9	Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel	Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features.	ICAART (3)	2024	DBLP DOI BibTeX RDF
9	John Carter, Spiros Mancoridis, Pavlos Protopapas, Erick Galinkin	Behavioral Malware Detection using a Language Model Classifier Trained on sys2vec Embeddings.	HICSS	2024	DBLP BibTeX RDF
9	John Carter, Spiros Mancoridis, Pavlos Protopapas, Erick Galinkin	IoT Malware Data Augmentation using a Generative Adversarial Network.	HICSS	2024	DBLP BibTeX RDF
9	Inzamamul Alam, Md. Samiullah 0001, Upama Kabir, Simon Woo, Carson K. Leung, Hoang Hai Nguyen	SREMIC: Spatial Relation Extraction-based Malware Image Classification.	IMCOM	2024	DBLP DOI BibTeX RDF
9	Cuiying Gao, Gaozhun Huang, Heng Li 0008, Bang Wu, Yueming Wu, Wei Yuan	A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments.	ICSE	2024	DBLP DOI BibTeX RDF
9	Minhajul Alam Rahat, Vijay Banerjee, Gedare Bloom, Yanyan Zhuang	Cimalir: Cross-Platform IoT Malware Clustering using Intermediate Representation.	CCWC	2024	DBLP DOI BibTeX RDF
9	Hamzah Al-Qadasi, Djafer Yahia Messaoud Benchadi, Salim Chehida, Kazuhiro Fukui, Saddek Bensalem	Neural Network Innovations in Image-Based Malware Classification: A Comparative Study.	AINA (4)	2024	DBLP DOI BibTeX RDF
9	Baskoro Adi Pratomo, Stefanus A. Kosim, Hudan Studiawan, Angela O. Prabowo	BarongTrace: A Malware Event Log Dataset for Linux.	AINA (4)	2024	DBLP DOI BibTeX RDF
9	Rildo Antonio de Souza, Vitor de Castro-Silva, Sylvio Barbon Junior, Bruno Bogaz Zarpelão	Forecasting Malware Incident Rates in Higher Education Institutions.	AINA (4)	2024	DBLP DOI BibTeX RDF
9	Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao	Processing-in-Memory Architecture with Precision-Scaling for Malware Detection.	VLSID	2024	DBLP DOI BibTeX RDF
9	Quang Duy Tran, Jaehyun Lim, Fabio Di Troia	An Advanced Malware Detection System Based on NLP to Generate Genetic Markers.	ICCE	2024	DBLP DOI BibTeX RDF
9	Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates 0001, James Holt	Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection.	AISTATS	2024	DBLP BibTeX RDF
9	Raja Khurram Shahzad	Automated Malware Detection and Classification Using Supervised Learning.		2024	RDF
9	Evan Downing	Improving the Understanding of Malware using Machine Learning.		2024	RDF
9	Vineeth S. Varma, Yezekayel Hayel, Irinel-Constantin Morarescu	A Non-Cooperative Resource Utilization Game Between Two Competing Malware.	IEEE Control. Syst. Lett.	2023	DBLP DOI BibTeX RDF
9	Euijin Choo, Mohamed Nabeel, Doowon Kim, Ravindu De Silva, Ting Yu 0001, Issa Khalil	A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs.	Proc. ACM Meas. Anal. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Durmus Özkan Sahin, Oguz Emre Kural, Sedat Akleylek, Erdal Kiliç	A novel permission-based Android malware detection system using feature selection based on linear regression.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
9	Dazhi Zhan, Yue Hu, Weili Li, Jun Chen, Shize Guo, Zhisong Pan	Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
9	Maham Chaudhary, Ammar Masood	RealMalSol: real-time optimized model for Android malware detection using efficient neural networks and model quantization.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
9	Hayyan Hasan, Behrouz Tork Ladani, Bahman Zamani	Maaker: A framework for detecting and defeating evasion techniques in Android malware.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Farnood Faghihi, Mohammad Zulkernine, Steven H. H. Ding	AIM: An Android Interpretable Malware detector based on application class modeling.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Jiaqi Chen, Chong Yuan, Jiashuo Li, Donghai Tian, Rui Ma 0004, Xiaoqi Jia	ELAMD: An ensemble learning framework for adversarial malware defense.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Lalit Kumar Vashishtha, Kakali Chatterjee, Siddhartha Suman Rout	An Ensemble approach for advance malware memory analysis using Image classification techniques.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham	A multi-view feature fusion approach for effective malware classification using Deep Learning.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Mohammadhadi Alaeiyan, Saeed Parsa, Vinod P. 0001	Sober: Explores for invasive behaviour of malware.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Lu Huang, Jingfeng Xue, Yong Wang 0010, Zhenyan Liu, Junbao Chen, Zixiao Kong	WHGDroid: Effective android malware detection based on weighted heterogeneous graph.	J. Inf. Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	Prachi, Namita Dabas, Prabha Sharma	MalAnalyser: An effective and efficient Windows malware detection method based on API call sequences.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Hui-juan Zhu, Yang Li, Liang-min Wang, Victor S. Sheng	A multi-model ensemble learning framework for imbalanced android malware detection.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Ilker Kara	Fileless malware threats: Recent advances, analysis approach through memory forensics and research challenges.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Ritwik Murali, T. Palanisamy, C. Shunmuga Velayutham	Evolving malware variants as antigens for antivirus systems.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Huijuan Zhu, Huahui Wei, Liangmin Wang 0001, Zhi-cheng Xu, Victor S. Sheng	An effective end-to-end android malware detection method.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Huijuan Zhu, Wei Gu, Liangmin Wang 0001, Zhi-cheng Xu, Victor S. Sheng	Android malware detection based on multi-head squeeze-and-excitation residual network.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Azevedo Pinage, Luiz S. Oliveira, André Grégio	Fast & Furious: On the modelling of malware detection as an evolving data stream.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Tal Tsafrir, Aviad Cohen 0002, Etay Nir, Nir Nissim	Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Hamad Naeem, Shi Dong, Olorunjube James Falana, Farhan Ullah	Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	David Escudero García, Noemí DeCastro-García, Ángel Luis Muñoz Castañeda	An effectiveness analysis of transfer learning for the concept drift problem in malware detection.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
9	Akram Zine Eddine Boukhamla, Abhishek Verma	HyDroid: android malware detection using network flow combined with permissions and intent filter.	Int. J. Mob. Commun.	2023	DBLP DOI BibTeX RDF
9	Hemant Rathore, Adarsh Nandanwar, Sanjay K. Sahay, Mohit Sewak	Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses.	Forensic Sci. Int. Digit. Investig.	2023	DBLP DOI BibTeX RDF
9	Yafei Wu, Jian Shi, Peicheng Wang, Dongrui Zeng, Cong Sun 0001	DeepCatra: Learning flow- and graph-based behaviours for Android malware detection.	IET Inf. Secur.	2023	DBLP DOI BibTeX RDF
9	Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Pey Yun Goh, Chee Peng Lim	An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood 0001, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah	An adaptive semi-supervised deep learning-based framework for the detection of Android malware.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	Cho Do Xuan, Hoa Dinh Nguyen	Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	S. Jebin Bose, R. Kalaiselvi	An optimal deep learning-based framework for the detection and classification of android malware.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	Nur Khairani Kamarudin, Ahmad Firdaus, Azlee Zabidi, Ferda Ernawan, Syifak Izhar Hisham, Mohd Faizal Ab Razak	Android malware detection using PMCC heatmap and Fuzzy Unordered Rule Induction Algorithm (FURIA).	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	S. Jebin Bose, R. Kalaiselvi	An optimal detection of android malware using dynamic attention-based LSTM classifier.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	Feng Pi, Shengwei Tian, Xinjun Pei, Peng Chen, Xin Wang, Xiaowei Wang	AdaTrans: An adaptive transformer for IoT Malware detection based on sensitive API call graph and inter-component communication analysis.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
9	Chandra Shekhar Yadav, Sangeeta Gupta	A Review on Malware Analysis for IoT and Android System.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Shashank Awasthi, Pramod Kumar Srivastava, Naresh Kumar, Rudra Pratap Ojha, Ashok Kumar Yadav	A Study of the Dissemination of Malware and the Enhancement of the Lifespan of Rechargeable Wireless Sensor Networks: An Epidemiological Approach.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Ruqayah N. Ahmed, Amir Javed, Wafi Bedewi	Is COVID-19 Being Used to Spread Malware.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	M. Anusha, M. Karthika	A Comprehensive Analysis on Various Deep Learning Techniques for Malware Detection in Android Mobile Devices.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Amit Kumar Singh, Swapnesh Taterh, Uddalak Mitra	An Efficient Tactic for Analysis and Evaluation of Malware Dump File Using the Volatility Tool.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Santosh Jhansi K., Sujata Chakravarty, P. Ravi Kiran Varma	A Two-Tier Fuzzy Meta-Heuristic Hybrid Optimization for Dynamic Android Malware Detection.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Ruqayah N. Ahmed, Amir Javed, Wafi Bedewi	Correction: Is COVID-19 Being Used to Spread Malware.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Animesh Kumar Jha, Abhishek Vaish, Sairaj Patil	A Novel Framework for Metamorphic Malware Detection.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Sonam Bhardwaj, Mayank Dave	Integrating a Rule-Based Approach to Malware Detection with an LSTM-Based Feature Selection Technique.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
9	Hadeel Alrubayyi, Gokop Goteng, Mona Jaber	AIS for Malware Detection in a Realistic IoT System: Challenges and Opportunities.	Network	2023	DBLP DOI BibTeX RDF
9	Leopoldo Alexandre F. Mauricio, Marcelo G. Rubinstein	A Network Function Virtualization Architecture for Automatic and Efficient Detection and Mitigation against Web Application Malware.	J. Internet Serv. Appl.	2023	DBLP DOI BibTeX RDF
9	Siti Husna Abdul Rahman, Chastan Nevin Gabriel, Su-Cheng Haw, Ahmad Anwar Zainuddin	Blockchain Malware Detection Tool Based on Signature Technique.	Adv. Artif. Intell. Mach. Learn.	2023	DBLP DOI BibTeX RDF
9	Prithviraj Singh Bisht, Preeti Mishra, Pushpanjali Chauhan, R. C. Joshi 0001	HyperGuard: on designing out-VM malware analysis approach to detect intrusions from hypervisor in cloud environment.	Int. J. Grid Util. Comput.	2023	DBLP DOI BibTeX RDF
9	Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Miguel Azorín Castillo, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller	Intelligent and behavioral-based detection of malware in IoT spectrum sensors.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Runzheng Wang, Jian Gao, Shuhua Huang	AIHGAT: A novel method of malware detection and homology analysis using assembly instruction heterogeneous graph.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Amit Sharma, Brij B. Gupta, Awadhesh Kumar Singh, V. K. Saraswat	A novel approach for detection of APT malware using multi-dimensional hybrid Bayesian belief network.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Mo'ath Zyout, Raed Shatnawi, Hassan Najadat	Malware classification approaches utilizing binary and text encoding of permissions.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Mar Gimenez-Aguilar, José María de Fuentes, Lorena González-Manzano	Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Sibo Shi, Shengwei Tian, Bo Wang, Tiejun Zhou, Guanxin Chen	SFCGDroid: android malware detection based on sensitive function call graph.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Saurabh Pandey, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla	Evading malware classifiers using RL agent with action-mask.	Int. J. Inf. Sec.	2023	DBLP DOI BibTeX RDF
9	Adeilson Antonio da Silva, Maurício Pamplona Segundo	On Deceiving Malware Classification with Section Injection.	Mach. Learn. Knowl. Extr.	2023	DBLP DOI BibTeX RDF
9	Horacio Rodriguez-Bazan, Grigori Sidorov, Ponciano Jorge Escamilla-Ambrosio	Android Malware Classification Based on Fuzzy Hashing Visualization.	Mach. Learn. Knowl. Extr.	2023	DBLP DOI BibTeX RDF
9	Longhui Shu, Shi Dong 0001, Huadong Su, Junjie Huang	Android Malware Detection Methods Based on Convolutional Neural Network: A Survey.	IEEE Trans. Emerg. Top. Comput. Intell.	2023	DBLP DOI BibTeX RDF
9	Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Paul A. Watters, Seyit Camtepe	Task-Aware Meta Learning-Based Siamese Neural Network for Classifying Control Flow Obfuscated Malware.	Future Internet	2023	DBLP DOI BibTeX RDF
9	Adam Lockett, Ioannis Chalkias, Cagatay Yucel, Jane Henriksen-Bulmer, Vasilis Katos	Investigating IPTV Malware in the Wild.	Future Internet	2023	DBLP DOI BibTeX RDF
9	Savino Dambra, Leyla Bilge, Davide Balzarotti	A Comparison of Systemic and Systematic Risks of Malware Encounters in Consumer and Enterprise Environments.	ACM Trans. Priv. Secur.	2023	DBLP DOI BibTeX RDF
9	Md Sajidul Islam Sajid, Jinpeng Wei, Ehab Al-Shaer, Qi Duan, Basel Abdeen, Latifur Khan	symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception.	ACM Trans. Priv. Secur.	2023	DBLP DOI BibTeX RDF
9	Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov	Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.	ACM Trans. Priv. Secur.	2023	DBLP DOI BibTeX RDF
9	B. V. Subba Rao, Vivek Sharma, Neeraj Rathore, Devendra Prasad, Harishchander Anandaram, Gaurav Soni	A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks.	Int. J. Cloud Appl. Comput.	2023	DBLP DOI BibTeX RDF
9	Mangayarkarasi Ramaiah, Vanmathi Chandrasekaran, Vinayakumar Ravi	A robust malware traffic classifier to combat security breaches in industry 4.0 applications.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
9	Sathiyandrakumar Srinivasan, P. Deepalakshmi	An innovative malware detection methodology employing the amalgamation of stacked BiLSTM and CNN+LSTM-based classification networks with the assistance of Mayfly metaheuristic optimization algorithm in cyber-attack.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
9	Syed Khurram Jah Rizvi, Muhammad Moazam Fraz	Robust malware clustering of windows portable executables using ensemble latent representation and distribution modeling.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
9	Xuanxia Yao, Yang Li 0174, Zhiguo Shi, Kaijun Liu, Xiaojiang Du	Android malware detection based on sensitive features combination.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
9	Çigdem Avci Salma, Bedir Tekinerdogan, Cagatay Catal	Analyzing the performance of long short-term memory architectures for malware detection models.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
9	Xuping Huang, Shunsuke Mochizuki, Akira Fujita, Katsunari Yoshioka	Simulating and Estimating the Effectiveness of Security Notification by ISP to Malware-Infected Users.	J. Inf. Process.	2023	DBLP DOI BibTeX RDF
9	Hayyan Hasan, Hasan Deeb, Behrouz Tork Ladani	A Machine Learning Approach for Detecting and Categorizing Sensitive Methods in Android Malware.	ISC Int. J. Inf. Secur.	2023	DBLP DOI BibTeX RDF
9	Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo 0001, Lingxiao Jiang, Christoph Bienert	Experimental comparison of features, analyses, and classifiers for Android malware detection.	Empir. Softw. Eng.	2023	DBLP DOI BibTeX RDF
9	Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein	Assessing the opportunity of combining state-of-the-art Android malware detectors.	Empir. Softw. Eng.	2023	DBLP DOI BibTeX RDF
9	Priyanka Singh, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma	Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.	Int. J. Intell. Syst.	2023	DBLP DOI BibTeX RDF
9	Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa	A review of deep learning models to detect malware in Android applications.	Cyber Secur. Appl.	2023	DBLP DOI BibTeX RDF
9	E. Praveen Kumar, S. Priyanka	A comprehensive survey on hardware-assisted malware analysis and primitive techniques.	Comput. Networks	2023	DBLP DOI BibTeX RDF
9	Jian Liu 0008, Qingsai Xiao, Liling Xin, Qiuyun Wang, Yepeng Yao, Zhengwei Jiang	M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting.	Comput. Networks	2023	DBLP DOI BibTeX RDF