{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:32:39Z","timestamp":1750221159778,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T00:00:00Z","timestamp":1527552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100011512","name":"National Research Foundation","doi-asserted-by":"publisher","award":["NRF-2016K1A1A2912757"],"award-info":[{"award-number":["NRF-2016K1A1A2912757"]}],"id":[{"id":"10.13039\/100011512","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1809000"],"award-info":[{"award-number":["CNS-1809000"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,5,29]]},"DOI":"10.1145\/3196494.3201580","type":"proceedings-article","created":{"date-parts":[[2018,5,31]],"date-time":"2018-05-31T13:18:28Z","timestamp":1527772708000},"page":"793-795","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["POSTER"],"prefix":"10.1145","author":[{"given":"Afsah","family":"Anwar","sequence":"first","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Aminollah","family":"Khormali","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]},{"given":"Aziz","family":"Mohaisen","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}]}],"member":"320","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"volume-title":"-- a. The Cost Impact of Major Virus Attacks Since","year":"1995","key":"e_1_3_2_1_1_1","unstructured":". -- a. The Cost Impact of Major Virus Attacks Since 1995 . (. --). https:\/\/www.computereconomics.com\/article.cfm?id=936 . -- a. The Cost Impact of Major Virus Attacks Since 1995. (. --). https:\/\/www.computereconomics.com\/article.cfm?id=936"},{"key":"e_1_3_2_1_2_1","unstructured":". -- b. CVE. (. --). https:\/\/cve.mitre.org\/  . -- b. CVE. (. --). https:\/\/cve.mitre.org\/"},{"key":"e_1_3_2_1_3_1","unstructured":". -- c. CWE. (. --). https:\/\/cwe.mitre.org  . -- c. CWE. (. --). https:\/\/cwe.mitre.org"},{"key":"e_1_3_2_1_4_1","unstructured":". -- d. \"WannaCry\" ransomware attack losses could reach $4 billion. (. --). http:\/\/cbsn.ws\/2yYjif2  . -- d. \"WannaCry\" ransomware attack losses could reach $4 billion. (. --). http:\/\/cbsn.ws\/2yYjif2"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.04.006"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1970.10481180"},{"key":"e_1_3_2_1_8_1","volume-title":"Finding structure in time. Cognitive science","author":"Elman Jeffrey L","year":"1990","unstructured":"Jeffrey L Elman . 1990. Finding structure in time. Cognitive science , Vol. 14 , 2 ( 1990 ), 179--211. Jeffrey L Elman . 1990. Finding structure in time. Cognitive science, Vol. 14, 2 (1990), 179--211."},{"key":"e_1_3_2_1_9_1","volume-title":"An Economic Study of the Effect of Android Platform Fragmentation on Security Updates. arXiv preprint arXiv:1712.08222","author":"Farhang Sadegh","year":"2017","unstructured":"Sadegh Farhang , Aron Laszka , and Jens Grossklags . 2017. An Economic Study of the Effect of Android Platform Fragmentation on Security Updates. arXiv preprint arXiv:1712.08222 ( 2017 ). Sadegh Farhang, Aron Laszka, and Jens Grossklags . 2017. An Economic Study of the Effect of Android Platform Fragmentation on Security Updates. arXiv preprint arXiv:1712.08222 (2017)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2009.06.005"},{"key":"e_1_3_2_1_11_1","unstructured":"Bill G Horne and C Lee Giles . 1995. An experimental comparison of recurrent neural networks Advances in neural information processing systems. 697--704.   Bill G Horne and C Lee Giles . 1995. An experimental comparison of recurrent neural networks Advances in neural information processing systems. 697--704."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2005.02.003"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1086\/261313"},{"key":"e_1_3_2_1_14_1","unstructured":"Frank Li and Vern Paxson . 2017. A Large-Scale Empirical Study of Security Patches. (2017).  Frank Li and Vern Paxson . 2017. A Large-Scale Empirical Study of Security Patches. (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2484313.2484377"},{"key":"e_1_3_2_1_16_1","unstructured":"Strategic Planning . 2002. The economic impacts of inadequate infrastructure for software testing. (2002).  Strategic Planning . 2002. The economic impacts of inadequate infrastructure for software testing. (2002)."},{"key":"e_1_3_2_1_17_1","volume-title":"Knight Capital searches for partner as tab for computer glitch hits $440 million. Wall Street Journal","author":"Strasburg Jenny","year":"2012","unstructured":"Jenny Strasburg and J Bunge . 2012. Loss swamps trading firm , Knight Capital searches for partner as tab for computer glitch hits $440 million. Wall Street Journal ( 2012 ). Jenny Strasburg and J Bunge . 2012. Loss swamps trading firm, Knight Capital searches for partner as tab for computer glitch hits $440 million. Wall Street Journal (2012)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2007.70712"}],"event":{"name":"ASIA CCS '18: ACM Asia Conference on Computer and Communications Security","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"],"location":"Incheon Republic of Korea","acronym":"ASIA CCS '18"},"container-title":["Proceedings of the 2018 on Asia Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3196494.3201580","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3196494.3201580","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3196494.3201580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:39Z","timestamp":1750208919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3196494.3201580"}},"subtitle":["Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions"],"short-title":[],"issued":{"date-parts":[[2018,5,29]]},"references-count":17,"alternative-id":["10.1145\/3196494.3201580","10.1145\/3196494"],"URL":"https:\/\/doi.org\/10.1145\/3196494.3201580","relation":{},"subject":[],"published":{"date-parts":[[2018,5,29]]},"assertion":[{"value":"2018-05-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}