Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery
Imdad Ali Shah, Samina Rajper, Noor Zamanjhanjhi, C Martin, Dianne, C Martin, Dianne, C Martin, Dianne, Rebecca Russell, Janine Hiller, Rebecca Russell, Rebecca Russell, Yazdan Movahedi, Michel Cukier, Ilirgashi, Lim Seng, Kah, Syed Norafidaithnin, Zainudeenmohdshaid, K Mallikarjunan, S Narasimha, G Shalinie, Preetha, Primoz Cigoj, Borkajermanblazic, Kyungroul Lee, Kangbinyim, Venkatesh- Ranganath, Joydeep Prasad, Mitra, Mohamed Ghanem, Thomas Chen, Mahmudul Hasan, D Shafiq, N Jhanjhi, A Abdullah, M, R Vinayakumar, R Vinayakumar, S Muzammal, R Murugesan, N Jhanjhi, L Jung, M Humayun, N Jhanjhi, B Hamid, G Ahmed, Malak Alamri, N Jhanjhi, Mamoona Humayun, Ya- He, Ling, Dam, Hoakhanh, Hongbin Li, Li-An Zhou, Andrzej Wasylkowski, Andreas Zeller, Christian Lindig, U Singh, C Joshi, S Singh, V Ponnusamy, N Jhanjhi, M Humayun, C Chung, C Chen, W Shih, T Lin, R Yeh, I Wang, S Venkatramuluassociate, Primoz Cigoj, &jerman, Borka, D Alferidah, N, Venkatesh- Ranganath, Joydeep Prasad, Mitra, M Imran, M Faisal, N Islam, Mohamed Ghanem, Thomas Chen, Yu, Miao, Bako Ali, Ali Ismail, Awad, Nawaz Mohamudally, Mahejabeenpeermamode-Mohaboob, Mahmudul Hasan, M Hasan, M Islam, M Zarif, M Hashem, F Hussain, S Hassan
Abstract
Today’s age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both techniques play a significant role in measuring vulnerability prediction accuracy. In the field of computer security, vulnerability is a fault that might be exploited as a risk artist that performs unlawful activities inside computer security. The attackers have several different fitting tools and they are taking advantage to operate software illegally and are using it for getting self-profit. Additionally, that helps to expose and identify the violence external. Weakness management remains a repeating exercise to identify, remediating, and justifying weaknesses. These exercises normally send software faults in computing security. The meaning of using weakness with the same risk might go to misperception. It is possible to have a major effect because of possible stability and the window of weakness presented a risk hole in the software and required to fruitfully finish and smoothly operate. A security room has to be set up (zero-day invaders). Software Security Faults stand serious among unavoidable complications in the realm of computer risk. In this study, we have provided a comprehensive review of three book chapters, more than a hundred research articles papers, and several associated papers of different work that have been studied within the capacity of SVA and discovery applying ML and data-mining techniques. The earlier work has been thoroughly read and an adequately comprehensive summary has been provided in table-1. ML techniques that can professionally handle these attacks and we expect the net result of this survey article to help indesigning the new detection model for identifying the above-mentioned attacks