00000nam 2200000zi 4500 9.881081 CaOODSP 20240222165851 m o d f cr |n||||||||| 191024t20192018onc ob f000 0 eng d CaOODSP eng rda CaOODSP eng fre n-cn--- D68-3/067-2019E-PDF Montuno, Delfin Y., author. Machine learning in vulnerability assessment / Delfin Montuno. Ottawa : Defence Research and Development Canada = Recherche et développement pour la défense Canada, 2019. ©2018 1 online resource (18 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Contract report ; DRDC-RDDC-2019-C067 "Can unclassified." "April 2019." Title from cover. "PSPC Contract Number: W7714-115274/001/SV." Includes bibliographical references (pages 11-15). "Machine Learning (ML) is increasingly being applied in vulnerability assessment and more generally in providing cyber security. We review ML applications in both those areas by commercial vendors. We also review recent results in adversarial learning; since ML requires training data to be effective, it is susceptible to adversarial attacks in which that data is poisoned to impair the ML’s functionality or allow attackers to bypass it. As a result of this adversarial nature of the problem, we conclude that the automated nature of ML-based solutions increases the need for accurate ground truth input data, and that more research is required to ensure the safety and effectiveness of these approaches with human-machine cooperation in mind"--Abstract, page i. Includes abstract in French. gccst Information technology gccst Military technology Defence R&D Canada. Ottawa Research Centre. Solan Networks. Contract report (Defence R&D Canada) DRDC-RDDC-2019-C067. (CaOODSP)9.802312 PDF 431 KB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-3-067-2019-eng.pdf