{"title":"基于深度学习的恶意软件检测方法研究","authors":"P. Kavitha, B. Muruganantham","doi":"10.1109/ICADEE51157.2020.9368924","DOIUrl":null,"url":null,"abstract":"As an inclination to technology there is a tremendous growth in internet which leads to a need in storage of data. While manipulating data during uploading or downloading, the data is greatly infected with different types of malware.The usage of technology will become complex in the upcoming heterogeneous technologies. In accordance with the effective usage of the technologies, various machine learning mechanisms exist. In this survey, we provide a survey on deep learning algorithms applied on detection of infection. First, the basic study of the related content is discussed. Then, an overview of deep learning algorithms and categories of infections are conferred. This survey presents a brief report on Deep learning methodologies and malware detection.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A study on deep learning approaches over Malware detection\",\"authors\":\"P. Kavitha, B. Muruganantham\",\"doi\":\"10.1109/ICADEE51157.2020.9368924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As an inclination to technology there is a tremendous growth in internet which leads to a need in storage of data. While manipulating data during uploading or downloading, the data is greatly infected with different types of malware.The usage of technology will become complex in the upcoming heterogeneous technologies. In accordance with the effective usage of the technologies, various machine learning mechanisms exist. In this survey, we provide a survey on deep learning algorithms applied on detection of infection. First, the basic study of the related content is discussed. Then, an overview of deep learning algorithms and categories of infections are conferred. This survey presents a brief report on Deep learning methodologies and malware detection.\",\"PeriodicalId\":202026,\"journal\":{\"name\":\"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)\",\"volume\":\"163 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADEE51157.2020.9368924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADEE51157.2020.9368924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on deep learning approaches over Malware detection
As an inclination to technology there is a tremendous growth in internet which leads to a need in storage of data. While manipulating data during uploading or downloading, the data is greatly infected with different types of malware.The usage of technology will become complex in the upcoming heterogeneous technologies. In accordance with the effective usage of the technologies, various machine learning mechanisms exist. In this survey, we provide a survey on deep learning algorithms applied on detection of infection. First, the basic study of the related content is discussed. Then, an overview of deep learning algorithms and categories of infections are conferred. This survey presents a brief report on Deep learning methodologies and malware detection.