DeeDP: vulnerability detection and patching based on deep learning
نویسندگان
چکیده
منابع مشابه
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
The automatic detection of software vulnerabilities is an important research problem. However, existing solutions to this problem rely on human experts to define features and often miss many vulnerabilities (i.e., incurring high false negative rate). In this paper, we initiate the study of using deep learning-based vulnerability detection to relieve human experts from the tedious and subjective...
متن کاملOil spill detection using in Sentinel-1 satellite images based on Deep learning concepts
Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...
متن کاملVulnerability of Deep Learning
The Renormalisation Group (RG) provides a framework in which it is possible to assess whether a deep-learning network is sensitive to small changes in the input data and hence prone to error, or susceptible to adversarial attack. Distinct classification outputs are associated with different RG fixed points and sensitivity to small changes in the input data is due to the presence of relevant ope...
متن کاملDetection of children's activities in smart home based on deep learning approach
Monitoring behavior of children in the home is the extremely important to avoid the possible injuries. Therefore, an automated monitoring system for monitoring behavior of children by researchers has been considered. The first step for designing and executing an automated monitoring system on children's behavior in closed spaces is possible with recognize their activity by the sensors in the e...
متن کاملDetection of children's activities in smart home based on deep learning approach
Monitoring behavior of children in the home is the extremely important to avoid the possible injuries. Therefore, an automated monitoring system for monitoring behavior of children by researchers has been considered. The first step for designing and executing an automated monitoring system on children's behavior in closed spaces is possible with recognize their activity by the sensors in the e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Theoretical and Applied Cybersecurity
سال: 2020
ISSN: 2708-1397,2664-2913
DOI: 10.20535/tacs.2664-29132020.1.209465