Systematic Approach to Malware Analysis (SAMA)
نویسندگان
چکیده
منابع مشابه
A Signal Processing Approach To Malware Analysis
A Signal Processing Approach To Malware Analysis
متن کاملAn Approach to Malware Analysis and Reporting by Machine Learning
Now-a-days cyber security is major concern information and related security areas to protect data from threat. In this context, we frame a methodology by using machine learning to detect various types of Malwares by using machine learning methods. In the present work, we use machine learning approach to the various static and dynamic analysis techniques to discuss different algorithms in cyber ...
متن کاملA Monte Carlo Tree Search approach to Active Malware Analysis
Active Malware Analysis (AMA) focuses on acquiring knowledge about dangerous software by executing actions that trigger a response in the malware. A key problem for AMA is to design strategies that select most informative actions for the analysis. To devise such actions, we model AMA as a stochastic game between an analyzer agent and a malware sample, and we propose a reinforcement learning alg...
متن کاملnon-corrective approach to pronunciation
the aim of this study has been to find answers for the following questions: 1. what is the effect of immediate correction on students pronunciation errors? 2. what would be the effect of teaching the more rgular patterns of english pronunciation? 3. is there any significant difference between the two methods of dealing with pronuciation errore, i. e., correction and the teaching of the regular ...
15 صفحه اولSAMA: A Method for 3D Morphological Analysis
Three-dimensional (3D) culture models are critical tools for understanding tissue morphogenesis. A key requirement for their analysis is the ability to reconstruct the tissue into computational models that allow quantitative evaluation of the formed structures. Here, we present Software for Automated Morphological Analysis (SAMA), a method by which epithelial structures grown in 3D cultures can...
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: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10041360