المؤلفون: WANG Jinwei, CHEN Zhengjia, XIE Xue, LUO Xiangyang, MA Bin

المصدر: Tongxin xuebao, Vol 45, Pp 160-175 (2024)

مصطلحات موضوعية: deep learning, data visualization, malicious code detection and classification, Telecommunication, TK5101-6720

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1000-436X

URL الوصول: https://doaj.org/article/eda2174f1c3c4dc89a2444e6014aae9e

المؤلفون: Candra Ahmadi, Jiann-Liang Chen, Yi-Cheng Lai

المصدر: IEEE Access, Vol 12, Pp 71746-71760 (2024)

مصطلحات موضوعية: Cybersecurity, malicious code detection, natural language processing (NLP), office documents security, P-code analysis, visual basic for applications (VBA), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10534288/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/99837f517dc74742a632851a1de499a3

المؤلفون: Haitham Ameen Noman, Osama M. F. Abu-Sharkh, Sinan Ameen Noman

المصدر: IEEE Access, Vol 12, Pp 118295-118314 (2024)

مصطلحات موضوعية: Cyber attacks, log poisoning, log injection, Internet of Things (IoT), malicious code, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10623179/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/bac3e9b435d74bf8b9ad278dbe72a731

المؤلفون: Nastooh Taheri Javan, Majid Mohammadpour, Seyedakbar Mostafavi

المصدر: IEEE Access, Vol 12, Pp 147400-147421 (2024)

مصطلحات موضوعية: Boosting, classifier ensemble, feature selection, genetic algorithms, malicious code, N-gram analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10707264/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/20263791ccfa4ebab5c9cc4dc454d2fa

المؤلفون: Degang WANG, Yi SUN, Chuanxin ZHOU, Qi GAO, Fan YANG

المصدر: 网络与信息安全学报, Vol 9, Iss 4, Pp 90-103 (2023)

مصطلحات موضوعية: federated learning, model, model similarity, malicious code, detection, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023056; https://doaj.org/toc/2096-109X

URL الوصول: https://doaj.org/article/81efbfbf9e004a59b04fdb286dc1d4c5

المؤلفون: Liu, Ting, Ju, Hang

المصدر: Journal of Industrial Engineering and Applied Science, 2(1), 8-12, (2024-02-12)

مصطلحات موضوعية: Machine Learning, Cyberspace security, Network Intrusion Detection, Malicious Code Identification, Threat Intelligence Analysis

Relation: https://doi.org/10.5281/zenodo.10521642; https://doi.org/10.5281/zenodo.10521643; oai:zenodo.org:10521643; https://www.suaspress.org/ojs/index.php/JIEAS/article/view/v2n1a02

الاتاحة: https://doi.org/10.5281/zenodo.10521643
https://www.suaspress.org/ojs/index.php/JIEAS/article/view/v2n1a02

المؤلفون: Hernández Guillén, Jose Diamantino, Martín del Rey, Ángel

Relation: https://www.sciencedirect.com/science/article/pii/S0378437119320138; https://www.sciencedirect.com/science/article/pii/S0378437119320138?via%3Dihub

URL الوصول: http://hdl.handle.net/10662/24142

المؤلفون: Correia, Miguel Luís Pereira

مصطلحات موضوعية: Supply chain, Anomaly detection, Repositories, Malicious code, Support vector machines, Simulations

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10773/38716

المؤلفون: Lalitha Chembeti, Kudipudi Harinadha Baba, Jagadeesh N, Siva Prasad Reddy P, Keerthana S, Amrin Taj SK, Hima Prathyusha T

مصطلحات موضوعية: Helminths have been intestinal parasites, which are the most typical bacterial infections. Like living beings through emerging economies, they usually generate a worldwide disease burden a certain outstrips better-known circumstances, including malaria and tuberculosis. Anthelmintics are the drug used to eliminate and live this same variety of intestinal parasitic parasite organisms from the gastrointestinal and epithelium like humans and other mammals. These same anthelminthic actions like hydroethanolic leaf extract like Hymenocallis malicious code to alter computers have been analyzed through elderly Indian earthworms (peridia post human). This ended up finding that now the hydroethanolic extricate like Hymenocallis malicious code to change the laptop decided to show anthelminthic actions at an intensity like 20mg/ml, 40mg/ml, and 80mg/ml of each. This same compared with the standard had been Albendazole (20 mg/ml)

Relation: https://doi.org/10.26452/fjphs.v3i3.473; oai:zenodo.org:8248313

الاتاحة: https://doi.org/10.26452/fjphs.v3i3.473

المؤلفون: Dragan Z. Damjanović

المصدر: Vojnotehnički Glasnik, Vol 70, Iss 3, Pp 734-755 (2022)

مصطلحات موضوعية: malicious code, cloud, malware, intelligence, Military Science, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://scindeks.ceon.rs/article.aspx?artid=0042-84692203734D; https://doaj.org/toc/0042-8469; https://doaj.org/toc/2217-4753

URL الوصول: https://doaj.org/article/4c12298c93fc4fafa42ddf739aa6a0de

المؤلفون: Xiaoqiang Tang, Bingzhe He

المصدر: Energy Reports, Vol 8, Iss , Pp 1424-1435 (2022)

مصطلحات موضوعية: Reinforcement learning, Malicious code, Dynamic traffic, Camouflage detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722002554; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/b938fab98ed747939cf85f7e116cce61

المؤلفون: SUN, Tiezhu, ALLIX, Kevin, KIM, Kisub, Zhou, Xin, KIM, Dongsun, Lo, David, Bissyande, Tegawende F., KLEIN, Jacques

المصدر: IEEE Transactions on Software Engineering, 49 (10), 4691 - 4706 (2023-09-01)

مصطلحات موضوعية: Android app analysis, code representation, defect prediction, malicious code localization, Representation learning, Android apps, Code, Localisation, Location awareness, Malicious codes, Malwares, Predictive models, Task analysis, Software, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: http://xplorestaging.ieee.org/ielx7/32/10286436/10237047.pdf?arnumber=10237047; AFR PhD Project number 17046335; urn:issn:0098-5589; urn:issn:1939-3520; https://orbilu.uni.lu/handle/10993/57618; info:hdl:10993/57618

الاتاحة: https://orbilu.uni.lu/handle/10993/57618
https://orbilu.uni.lu/bitstream/10993/57618/1/DexBERT_Effective_Task-Agnostic_and_Fine-Grained_Representation_Learning_of_Android_Bytecode.pdf
https://doi.org/10.1109/TSE.2023.3310874

المؤلفون: Hong Huang, Rui Du, Zhaolian Wang, Xin Li, Guotao Yuan

المصدر: Sensors; Volume 23; Issue 16; Pages: 7084

مصطلحات موضوعية: deep learning, malicious code detection, neural networks, attention mechanism, data augmentation, CoAtNet model

وصف الملف: application/pdf

Relation: Sensor Networks; https://dx.doi.org/10.3390/s23167084

الاتاحة: https://doi.org/10.3390/s23167084

المؤلفون: Haitham Ameen Noman, Osama M. F. Abu-Sharkh

المصدر: Sensors; Volume 23; Issue 13; Pages: 6067

مصطلحات موضوعية: attacks, code injection, cybersecurity, IMECA, Internet of Things, malicious code, wireless networks

وصف الملف: application/pdf

Relation: Internet of Things; https://dx.doi.org/10.3390/s23136067

الاتاحة: https://doi.org/10.3390/s23136067

المؤلفون: Kyungroul Lee, Jaehyuk Lee, Sun-Young Lee, Kangbin Yim

المصدر: Sensors; Volume 23; Issue 6; Pages: 3023

مصطلحات موضوعية: cloud service, entropy, malicious code, ransomware

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/s23063023

الاتاحة: https://doi.org/10.3390/s23063023

المؤلفون: Kyungroul Lee, Jaehyuk Lee, Kangbin Yim

المصدر: Applied Sciences; Volume 13; Issue 5; Pages: 2894

مصطلحات موضوعية: malicious code, detection technique, attack scenario, attack technique, APT attack

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app13052894

الاتاحة: https://doi.org/10.3390/app13052894

المؤلفون: LI Binglong, TONG Jinlong, ZHANG Yu, SUN Yifeng, WANG Qingxian, CHANG Chaowen

المصدر: 网络与信息安全学报, Vol 7, Iss 4, Pp 154-163 (2021)

مصطلحات موضوعية: auto forensics, deep learning, full connected network, malicious code fragment, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2021048; https://doaj.org/toc/2096-109X

URL الوصول: https://doaj.org/article/de4b8688e24a454db76311563a15a509

المؤلفون: Haojun Wang, Haixia Long, Ailan Wang, Tianyue Liu, Haiyan Fu

المصدر: IEEE Access, Vol 9, Pp 91512-91523 (2021)

مصطلحات موضوعية: Malicious code classification, deep learning, convolutional neural networks, N-gram, regularization algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9459716/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/ef2b794f51864a8c93fbf907c57c468e

المؤلفون: ESLAVATH, RAVI

المصدر: Journal of Theoretical and Applied Information Technology, 100(20), 6117-6129, (2022-10-31)

مصطلحات موضوعية: Malicious Code Detection, Malware Detection, Machine Learning, Deep Learning, Malware Detection Optimization

Relation: https://doi.org/10.5281/zenodo.10475510; https://doi.org/10.5281/zenodo.10475511; oai:zenodo.org:10475511

الاتاحة: https://doi.org/10.5281/zenodo.10475511

المؤلفون: Kuppa, Koundinya, Dayal, Anushka, Gupta, Shashank, Dua, Amit, Chaudhary, Pooja, Rathore, Shailendra

المصدر: Kuppa , K , Dayal , A , Gupta , S , Dua , A , Chaudhary , P & Rathore , S 2022 , ' ConvXSS : a deep learning-based smart ICT framework against code injection attacks for HTML5 web applications in sustainable smart city infrastructure ' , Sustainable Cities and Society , vol. 80 , 103765 . https://doi.org/10.1016/j.scs.2022.103765

مصطلحات موضوعية: Sustainable smart cities, Security, Privacy, ICT, CPS, Web security, Deep learning, Data preprocessing, Training and testing, Neural Networks, Sanitization, CNN, XSS attack, Malicious code, Code injection attack

وصف الملف: application/pdf

الاتاحة: https://rke.abertay.ac.uk/en/publications/27c37a3b-0555-45dd-93d3-8f08a129b60d
https://doi.org/10.1016/j.scs.2022.103765
https://rke.abertay.ac.uk/ws/files/36439406/Rathore_ConvXSS_Accepted_2022.pdf