| Title | Review on Trustworthy Analysis in binary code |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Karthikeyan, P., Anandaraj, S.P., Vignesh, R., Poornima, S. |
| Conference Name | 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) |
| Keywords | Android application, binary code, Binary codes, Deep Learning, Learning systems, Malware, Medical services, Programming, pubcrawl, resilience, Resiliency, Schedules, Tools, trustworthy, Trustworthy Systems |
| Abstract | The software industry is dominating many are like health care, finance, agriculture and entertainment. Software security has become an essential issue-outsider libraries, which assume a significant part in programming. The finding weaknesses in the binary code is a significant issue that presently cannot seem to be handled, as showed by numerous weaknesses wrote about an everyday schedule. Software seller sells the software to the client if the client wants to check the software's vulnerability it is a cumbersome task. Presently many deep learning-based methods also introduced to find the security weakness in the binary code. This paper present the merits and demerits of binary code analysis used by a different method. |
| DOI | 10.1109/ICACCS51430.2021.9442052 |
| Citation Key | karthikeyan_review_2021 |
Review on Trustworthy Analysis in binary code