@article{Shoraimov Khusanboy Uktamboyevich_2022, title={MALWARE BEHAVIOR ANALYSIS USING BINARY CODE TRACKING}, volume={7}, url={https://confrencea.org/index.php/confrenceas/article/view/294}, abstractNote={<p>The rapidly increasing malware goes beyond personal security threats and has a <br>negative effect on criminal society. To prevent these security threats, many anti-virus vendors <br>and analysts are starving to more efficiently distinguish malicious behavior. In order to <br>contribute to this, in this study, we try to detect malicious behavior by tracking the execution <br>flow of binary code. Our method of tracking the execution flow of the binary code utilizing the <br>BFS(Breath-First Search)algorithm advances static analysis based on binary code, but it can <br>be a method combining the advantage of static analysis and the advantage of dynamic <br>analysis. In addition to visualizing malicious behavior as a graph image based on APIs, it is <br>possible to analyze more obviously malicious behavior</p>}, number={7}, journal={Confrencea}, author={Shoraimov Khusanboy Uktamboyevich, *Abdumuminov Abdurafiq Abdurashidovich, Ibragimov Jalaliddin Obidjon o’g’li,}, year={2022}, month={Nov.}, pages={7–9} }