Title: Detection of Insider Threat through OSINT
\nProject ID: YnQhu17
\nDomain(s): Artificial Intelligence,Cybersecurity,Machine Learning,Multidisciplinary<\/p>\n
Description:<\/p>\n
Expand the research that started with the original research started in the peer-reviewed article: <\/p>\n
“A Survey of Unintentional Insider Threat Category”, which is published at https:\/\/ijcsit.com\/ijcsit-v14issue2.php.<\/p>\n
Conduct a literature review of current AI\/ML insider threat detection approaches.<\/p>\n
Use Open Source Intelligence (OSINT) to search any available open sources for individuals that may become insider threats. <\/p>\n
Clearly define where possible a medical insider threat case versus a psychological case when possible.<\/p>\n
Write about what new AI\/ML detection techniques can be created as they are discovered and any gaps.<\/p>\n
Desired Skills:
\nResearch Skills
\nWriting Skills
\nFamiliarity with AI\/ML
\nFamiliarity with Cybersecurity
\nFamiliarity with Open Source Intelligence (OSINT)<\/p>\n
US Citizenship Required: No
\nActive Clearance or Background Investigation Required: No
\nLevel Needed: <\/p>\n
Targeted Students: Grad,Undergrad
\nTeam Size: 2 to 4
\nDetails: Recommend three to four students to split up the research and collaborate on the topic. May require individual team members to do more of a deep dive into a certain area and then brief the rest of the team or write about the topic.<\/p>\n
Focus on Particular University: No
\nDetails: <\/p>\n
Focus Timeline: No
\nDetails: <\/p>\n
Potential Funding:No
\nNote: Availability of funds not guaranteed<\/p>\n