Search results for "malware"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood 0001, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman	An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.	Intell. Decis. Technol.	2024	DBLP DOI BibTeX RDF
9	Manoj D. Shelar, S. Srinivasa Rao 0004	Enhanced capsule network-based executable files malware detection and classification - deep learning approach.	Concurr. Comput. Pract. Exp.	2024	DBLP DOI BibTeX RDF
9	Zhigang Zhang, Zhixia Zhang, Zhihua Cui	Federated malware detection based on many-objective optimization in cross-architectural IoT.	Concurr. Comput. Pract. Exp.	2024	DBLP DOI BibTeX RDF
9	Ziming Zhao 0008, Zhaoxuan Li, Jiongchi Yu, Fan Zhang 0010, Xiaofei Xie, Haitao Xu 0002, Binbin Chen 0001	CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains.	IEEE Trans. Mob. Comput.	2024	DBLP DOI BibTeX RDF
9	Kouhei Kita, Ryuya Uda	Fast Preprocessing by Suffix Arrays for Managing Byte n-grams to Detect Malware Subspecies by Machine Learning.	J. Inf. Process.	2024	DBLP DOI BibTeX RDF
9	Haojun Zhao, Yueming Wu, Deqing Zou, Hai Jin 0001	An Empirical Study on Android Malware Characterization by Social Network Analysis.	IEEE Trans. Reliab.	2024	DBLP DOI BibTeX RDF
9	Syed Shuja Hussain, Mohd Faizal Ab Razak, Ahmad Firdaus	Deep Learning Based Hybrid Analysis of Malware Detection and Classification: A Recent Review.	J. Cyber Secur. Mobil.	2024	DBLP DOI BibTeX RDF
9	Peng Xiao	Network Malware Detection Using Deep Learning Network Analysis.	J. Cyber Secur. Mobil.	2024	DBLP DOI BibTeX RDF
9	Peng Xiao	Malware Cyber Threat Intelligence System for Internet of Things (IoT) Using Machine Learning.	J. Cyber Secur. Mobil.	2024	DBLP DOI BibTeX RDF
9	G. M. Sakhawat Hossain, Kaushik Deb, Helge Janicke, Iqbal H. Sarker	PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Mohammed Maray, Mashael S. Maashi, Haya Mesfer Alshahrani, Sumayh S. Aljameel, Sitelbanat Abdelbagi, Ahmed S. Salama	Intelligent Pattern Recognition Using Equilibrium Optimizer With Deep Learning Model for Android Malware Detection.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	David Cevallos-Salas, Felipe Grijalva, José Estrada-Jiménez, Diego S. Benítez, Roberto O. Andrade	Obfuscated Privacy Malware Classifiers Based on Memory Dumping Analysis.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Setia Juli Irzal Ismail, Hendrawan, Budi Rahardjo, Tutun Juhana, Yasuo Musashi	MalSSL - Self-Supervised Learning for Accurate and Label-Efficient Malware Classification.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Rajif Agung Yunmar, Sri Suning Kusumawardani, Widyawan, Fadi Mohsen	Hybrid Android Malware Detection: A Review of Heuristic-Based Approach.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Roger E. Davis, Jingsheng Xu, Kaushik Roy 0003	Classifying Malware Traffic Using Images and Deep Convolutional Neural Network.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Faiza Habib, Syed Hamad Shirazi, Khursheed Aurangzeb, Asfandyar Khan, Bharat Bhushan, Musaed A. Alhussein	Deep Neural Networks for Enhanced Security: Detecting Metamorphic Malware in IoT Devices.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Ismail Taha Ahmed, Baraa Tareq Hammad, Norziana Jamil	A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Cristiano Pegoraro Chenet, Alessandro Savino, Stefano Di Carlo	A Survey on Hardware-Based Malware Detection Approaches.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Olufunsho I. Falowo, Murat Ozer, Chengcheng Li, Jacques Bou Abdo	Evolving Malware and DDoS Attacks: Decadal Longitudinal Study.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Faiza Babar Khan, Muhammad Hanif Durad, Asifullah Khan, Farrukh Aslam Khan, Muhammad Rizwan 0004, Aftab Ali	Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework.	IEEE Access	2024	DBLP DOI BibTeX RDF
9	Mohammad Al-Fawa'reh, Jumana Abu-Khalaf, Patryk Szewczyk, James Jin Kang	MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Xixi Zhang 0001, Liang Hao, Guan Gui 0001, Yu Wang 0078, Bamidele Adebisi, Hikmet Sari	An Automatic and Efficient Malware Traffic Classification Method for Secure Internet of Things.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Jie Dou, Gang Xie 0001, Zhiyi Tian, Lei Cui 0006, Shui Yu 0001	Modeling and Analyzing the Spatial-Temporal Propagation of Malware in Mobile Wearable IoT Networks.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Guiyun Liu, Zhihao Tan, Zhongwei Liang, Hanjie Chen, Xiaojing Zhong	Fractional Optimal Control for Malware Propagation in Internet of Underwater Things.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Zhihua Cui, Zhigang Zhang, Zhixia Zhang, Wensheng Zhang 0002, Jinjun Chen	MODSC: Many-Objective-Optimization-Driven Data-Balancing Strategy in Cross-Architectural Malware Classification for Extreme IoT.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Xinfeng He, Riyang Li	Malware detection for container runtime based on virtual machine introspection.	J. Supercomput.	2024	DBLP DOI BibTeX RDF
9	Bo Zhou, Hai Huang, Jun Xia, Donghai Tian	A novel malware detection method based on API embedding and API parameters.	J. Supercomput.	2024	DBLP DOI BibTeX RDF
9	Ivan Zelinka, Miloslav Szczypka, Jan Plucar, Nikolay V. Kuznetsov	From malware samples to fractal images: A new paradigm for classification.	Math. Comput. Simul.	2024	DBLP DOI BibTeX RDF
9	Yueming Wang, Meng Zhang 0006	Memory-efficient detection of large-scale obfuscated malware.	Int. J. Wirel. Mob. Comput.	2024	DBLP DOI BibTeX RDF
9	Ahmed R. Nasser, Ahmed M. Hasan, Amjad J. Humaidi	DL-AMDet: Deep learning-based malware detector for android.	Intell. Syst. Appl.	2024	DBLP DOI BibTeX RDF
9	Yifei Zhang, Senlin Luo, Hangyi Wu, Limin Pan	Antibypassing Four-Stage Dynamic Behavior Modeling for Time-Efficient Evasive Malware Detection.	IEEE Trans. Ind. Informatics	2024	DBLP DOI BibTeX RDF
9	Monika Sharma, Ajay Kaul	A review of detecting malware in android devices based on machine learning techniques.	Expert Syst. J. Knowl. Eng.	2024	DBLP DOI BibTeX RDF
9	Yousef Seyfari, Akbar Meimandi	A new approach to android malware detection using fuzzy logic-based simulated annealing and feature selection.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
9	Ren Takeuchi, Rikima Mitsuhashi, Masakatsu Nishigaki, Tetsushi Ohki	Ensemble Malware Classifier Considering PE Section Information.	IEICE Trans. Fundam. Electron. Commun. Comput. Sci.	2024	DBLP DOI BibTeX RDF
9	Xiaoheng Deng, Zhe Wang, Xinjun Pei, Kaiping Xue	TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection.	IEEE Trans. Netw. Sci. Eng.	2024	DBLP DOI BibTeX RDF
9	Sidney M. L. de Lima, Danilo Souza, Ricardo Pinheiro, Sthéfano H. M. T. Silva, Petrônio Lopes, Rafael Lima, Jemerson Oliveira, Thyago de Amorim Monteiro, Sérgio M. M. Fernandes, Edison de Queiroz Albuquerque, Washington Wagner Azevedo da Silva, Wellington P. dos Santos	Next-generation antivirus for JavaScript malware detection based on dynamic features.	Knowl. Inf. Syst.	2024	DBLP DOI BibTeX RDF
9	Kai Tan, Dongyang Zhan, Lin Ye, Hongli Zhang 0001, Binxing Fang	A Practical Adversarial Attack Against Sequence-Based Deep Learning Malware Classifiers.	IEEE Trans. Computers	2024	DBLP DOI BibTeX RDF
9	Fangtian Zhong, Xiuzhen Cheng 0001, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu	MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors.	IEEE Trans. Computers	2024	DBLP DOI BibTeX RDF
9	Pawan Kumar, Sukhdip Singh	Enhancing android application security: A novel approach using DroidXGB for malware detection based on permission analysis.	Secur. Priv.	2024	DBLP DOI BibTeX RDF
9	Sandeep Sharma, Prachi Ahlawat, Kavita Khanna	DeepMDFC: A deep learning based android malware detection and family classification method.	Secur. Priv.	2024	DBLP DOI BibTeX RDF
9	Catarina Palma, Artur J. Ferreira, Mário A. T. Figueiredo	Explainable Machine Learning for Malware Detection on Android Applications.	Inf.	2024	DBLP DOI BibTeX RDF
9	Ehab Alkhateeb, Ali A. Ghorbani 0001, Arash Habibi Lashkari	Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis.	Inf.	2024	DBLP DOI BibTeX RDF
9	Tianwei Lei, Jingfeng Xue, Yong Wang 0010, Thar Baker, Zequn Niu	An empirical study of problems and evaluation of IoT malware classification label sources.	J. King Saud Univ. Comput. Inf. Sci.	2024	DBLP DOI BibTeX RDF
9	Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva Trujillo, Juan Carlos Cuevas-Tello, José I. Nuñez-Varela	Static Malware Analysis Using Low-Parameter Machine Learning Models.	Comput.	2024	DBLP DOI BibTeX RDF
9	Farhan Ullah, Gautam Srivastava 0001, Shamsher Ullah, Leonardo Mostarda	Privacy-Preserving Federated Learning Approach for Distributed Malware Attacks With Intermittent Clients and Image Representation.	IEEE Trans. Consumer Electron.	2024	DBLP DOI BibTeX RDF
9	Mousa Tayseer Jafar, Lu-Xing Yang, Gang Li, Xiaofan Yang	Optimal Control of Malware Propagation in IoT Networks.	CoRR	2024	DBLP DOI BibTeX RDF
9	Md Tanvirul Alam, Romy Fieblinger, Ashim Mahara, Nidhi Rastogi	MORPH: Towards Automated Concept Drift Adaptation for Malware Detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz	Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem.	CoRR	2024	DBLP DOI BibTeX RDF
9	Kawana Stalin, Mikias Berhanu Mekoya	Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks.	CoRR	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.	CoRR	2024	DBLP DOI BibTeX RDF
9	Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev 0001, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.	CoRR	2024	DBLP DOI BibTeX RDF
9	Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones	ActDroid: An active learning framework for Android malware detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Tony Quertier, Grégoire Barrué	Use of Multi-CNNs for Section Analysis in Static Malware Detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh	Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File.	CoRR	2024	DBLP DOI BibTeX RDF
9	Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang	Unraveling the Key of Machine Learning Solutions for Android Malware Detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Zhenglin Li, Haibei Zhu, Houze Liu, Jintong Song, Qishuo Cheng	Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Marc Schmitt 0001	Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection.	CoRR	2024	DBLP DOI BibTeX RDF
9	Kyle Stein, Arash Golibagh Mahyari, Guillermo Francia III, Eman El-Sheikh	A Transformer-Based Framework for Payload Malware Detection and Classification.	CoRR	2024	DBLP DOI BibTeX RDF
9	Omar Alrawi, Miuyin Yong Wong, Athanasios Avgetidis, Kevin Valakuzhy, Boladji Vinny Adjibi, Konstantinos Karakatsanis, Mustaque Ahamad, Douglas M. Blough, Fabian Monrose, Manos Antonakakis	SoK: An Essential Guide For Using Malware Sandboxes In Security Applications: Challenges, Pitfalls, and Lessons Learned.	CoRR	2024	DBLP DOI BibTeX RDF
9	Jorge Maestre Vidal, Marco Antonio Sotelo Monge, Luis Javier García-Villalba	A novel pattern recognition system for detecting Android malware by analyzing suspicious boot sequences.	CoRR	2024	DBLP DOI BibTeX RDF
9	Brian Etter, James Lee Hu, Mohammedreza Ebrahimi, Weifeng Li 0002, Xin Li 0108, Hsinchun Chen	Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.	CoRR	2024	DBLP DOI BibTeX RDF
9	Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes	A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.	CoRR	2024	DBLP DOI BibTeX RDF
9	Peter Svec, Stefan Balogh, Martin Homola, Ján Kluka, Tomás Bisták	Semantic Data Representation for Explainable Windows Malware Detection Models.	CoRR	2024	DBLP DOI BibTeX RDF
9	Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version).	CoRR	2024	DBLP DOI BibTeX RDF
9	Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe	Bayesian Learned Models Can Detect Adversarial Malware For Free.	CoRR	2024	DBLP DOI BibTeX RDF
9	Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie A. Williams	Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
9	Fatemeh Deldar, Mahdi Abadi	Deep Learning for Zero-day Malware Detection and Classification: A Survey.	ACM Comput. Surv.	2024	DBLP DOI BibTeX RDF
9	Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke	Malware Detection with Artificial Intelligence: A Systematic Literature Review.	ACM Comput. Surv.	2024	DBLP DOI BibTeX RDF
9	Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury	A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms.	ACM Comput. Surv.	2024	DBLP DOI BibTeX RDF
9	Abdelouahab Amira, Abdelouahid Derhab, Elmouatez Billah Karbab, Omar Nouali	A Survey of Malware Analysis Using Community Detection Algorithms.	ACM Comput. Surv.	2024	DBLP DOI BibTeX RDF
9	Abraham H. Mhaidli, Shwetha Rajaram, Selin Fidan, Gina Herakovic, Florian Schaub	Shockvertising, Malware, and a Lack of Accountability: Exploring Consumer Risks of Virtual Reality Advertisements and Marketing Experiences.	IEEE Secur. Priv.	2024	DBLP DOI BibTeX RDF
9	Ritik Mehta, Olha Jurecková, Mark Stamp 0001	A natural language processing approach to Malware classification.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Vrinda Malhotra, Katerina Potika, Mark Stamp 0001	A comparison of graph neural networks for malware classification.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Nguyen Minh Tu, Viet Hung Nguyen, Nathan Shone	Using deep graph learning to improve dynamic analysis-based malware detection in PE files.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Omid Kargarnovin, Amir Mahdi Sadeghzadeh, Rasool Jalili	Mal2GCN: a robust malware detection approach using deep graph convolutional networks with non-negative weights.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Jesper Bergman, Oliver Popov	Recognition of tor malware and onion services.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Hassan Jameel Asghar, Benjamin Zi Hao Zhao, Muhammad Ikram 0001, Giang Linh Duc Nguyen, Dali Kaafar, Sean Lamont, Daniel Coscia	Use of cryptography in malware obfuscation.	J. Comput. Virol. Hacking Tech.	2024	DBLP DOI BibTeX RDF
9	Olanrewaju Sanda, Michalis Pavlidis, Nikolaos Polatidis	A deep learning approach for host-based cryptojacking malware detection.	Evol. Syst.	2024	DBLP DOI BibTeX RDF
9	Guo-Wei Wong, Yi-Ting Huang, Ying-Ren Guo, Yeali S. Sun, Meng Chang Chen	Attention-Based API Locating for Malware Techniques.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Yuewang He, Xiangui Kang, Qiben Yan, Enping Li	ResNeXt+: Attention Mechanisms Based on ResNeXt for Malware Detection and Classification.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Chen Liu, Bo Li 0005, Jun Zhao, Weiwei Feng, Xudong Liu, Chunpei Li	A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong	Static Multi Feature-Based Malware Detection Using Multi SPP-net in Smart IoT Environments.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Tingting Lu, Junfeng Wang 0003	DOMR: Toward Deep Open-World Malware Recognition.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Dazhi Zhan, Yexin Duan, Yue Hu, Weili Li, Shize Guo, Zhisong Pan	MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
9	Amel Ksibi, Mohammed Zakariah, Latifah Almuqren, Ala Saleh D. Alluhaidan	Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques.	Eng. Appl. Artif. Intell.	2024	DBLP DOI BibTeX RDF
9	Hongyu Yang, Youwei Wang, Liang Zhang 0018, Xiang Cheng, Ze Hu	A novel Android malware detection method with API semantics extraction.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Jiaxuan Geng, Junfeng Wang 0003, Zhiyang Fang, Yingjie Zhou, Di Wu, Wenhan Ge	A survey of strategy-driven evasion methods for PE malware: Transformation, concealment, and attack.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Junhao Li, Junjiang He, Wenshan Li, Wenbo Fang, Geying Yang, Tao Li 0016	SynDroid: An adaptive enhanced Android malware classification method based on CTGAN-SVM.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Austin Brown, Maanak Gupta, Mahmoud Abdelsalam	Automated machine learning for deep learning based malware detection.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Alejandro Guerra-Manzanares	Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Binghui Zou, Chunjie Cao, Longjuan Wang, Sizheng Fu, Tonghua Qiao, Jingzhang Sun	FACILE: A capsule network with fewer capsules and richer hierarchical information for malware image classification.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Tieming Chen, Huan Zeng, Mingqi Lv, Tiantian Zhu	CTIMD: Cyber threat intelligence enhanced malware detection using API call sequences with parameters.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Pejman Najafi, Wenzel Pünter, Feng Cheng 0002, Christoph Meinel	You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation.	Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury	A systematic literature review on Windows malware detection: Techniques, research issues, and future directions.	J. Syst. Softw.	2024	DBLP DOI BibTeX RDF
9	Liping Qian, Lin Cong	Channel Features and API Frequency-Based Transformer Model for Malware Identification.	Sensors	2024	DBLP DOI BibTeX RDF
9	Ho Bae	Evaluation of Malware Classification Models for Heterogeneous Data.	Sensors	2024	DBLP DOI BibTeX RDF
9	Md. Alamgir Hossain, Md. Saiful Islam	Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity.	Cybersecur.	2024	DBLP DOI BibTeX RDF
9	Laxmi Bhagwat, Balaji Patil	Behavioural analysis and results of malware and ransomware using optimal behavioural feature set.	Int. J. Inf. Comput. Secur.	2024	DBLP DOI BibTeX RDF
9	Nuño Basurto, Diego García-Prieto, Héctor Quintián, Daniel Urda, José Luís Calvo-Rolle, Emilio Corchado	Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families.	Log. J. IGPL	2024	DBLP DOI BibTeX RDF
9	Joon-Young Paik, Rize Jin	Malware Family Prediction with an Awareness of Label Uncertainty.	Comput. J.	2024	DBLP DOI BibTeX RDF