{"title":"OSINT 诊所:共同设计用于漏洞评估的人工智能增强型协作 OSINT 调查","authors":"Anirban Mukhopadhyay, Kurt Luther","doi":"arxiv-2409.11672","DOIUrl":null,"url":null,"abstract":"Small businesses need vulnerability assessments to identify and mitigate\ncyber risks. Cybersecurity clinics provide a solution by offering students\nhands-on experience while delivering free vulnerability assessments to local\norganizations. To scale this model, we propose an Open Source Intelligence\n(OSINT) clinic where students conduct assessments using only publicly available\ndata. We enhance the quality of investigations in the OSINT clinic by\naddressing the technical and collaborative challenges. Over the duration of the\n2023-24 academic year, we conducted a three-phase co-design study with six\nstudents. Our study identified key challenges in the OSINT investigations and\nexplored how generative AI could address these performance gaps. We developed\ndesign ideas for effective AI integration based on the use of AI probes and\ncollaboration platform features. A pilot with three small businesses\nhighlighted both the practical benefits of AI in streamlining investigations,\nand limitations, including privacy concerns and difficulty in monitoring\nprogress.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OSINT Clinic: Co-designing AI-Augmented Collaborative OSINT Investigations for Vulnerability Assessment\",\"authors\":\"Anirban Mukhopadhyay, Kurt Luther\",\"doi\":\"arxiv-2409.11672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Small businesses need vulnerability assessments to identify and mitigate\\ncyber risks. Cybersecurity clinics provide a solution by offering students\\nhands-on experience while delivering free vulnerability assessments to local\\norganizations. To scale this model, we propose an Open Source Intelligence\\n(OSINT) clinic where students conduct assessments using only publicly available\\ndata. We enhance the quality of investigations in the OSINT clinic by\\naddressing the technical and collaborative challenges. Over the duration of the\\n2023-24 academic year, we conducted a three-phase co-design study with six\\nstudents. Our study identified key challenges in the OSINT investigations and\\nexplored how generative AI could address these performance gaps. We developed\\ndesign ideas for effective AI integration based on the use of AI probes and\\ncollaboration platform features. A pilot with three small businesses\\nhighlighted both the practical benefits of AI in streamlining investigations,\\nand limitations, including privacy concerns and difficulty in monitoring\\nprogress.\",\"PeriodicalId\":501541,\"journal\":{\"name\":\"arXiv - CS - Human-Computer Interaction\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Human-Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OSINT Clinic: Co-designing AI-Augmented Collaborative OSINT Investigations for Vulnerability Assessment
Small businesses need vulnerability assessments to identify and mitigate
cyber risks. Cybersecurity clinics provide a solution by offering students
hands-on experience while delivering free vulnerability assessments to local
organizations. To scale this model, we propose an Open Source Intelligence
(OSINT) clinic where students conduct assessments using only publicly available
data. We enhance the quality of investigations in the OSINT clinic by
addressing the technical and collaborative challenges. Over the duration of the
2023-24 academic year, we conducted a three-phase co-design study with six
students. Our study identified key challenges in the OSINT investigations and
explored how generative AI could address these performance gaps. We developed
design ideas for effective AI integration based on the use of AI probes and
collaboration platform features. A pilot with three small businesses
highlighted both the practical benefits of AI in streamlining investigations,
and limitations, including privacy concerns and difficulty in monitoring
progress.