SCAIFE: An Alert Auditing Classification Prototype (Briefing Charts)

reportActive / Technical Report | Accession Number: AD1078075 | Open PDF

Abstract:

In this SEI Cyber Minute, Ebonie McNeil explains how the Source Code Analysis Integrated Framework Environment or SCAIFE prototype is intended to be used by developers and analysts who manually audit alerts. SCAIFE provides automatic alert classification using machine learning which gives a level of confidence that the alert is true or false. The SCAIFE prototype also enables organizations to apply formulas that prioritize static analysis alerts by using factors they care about.

Author(s):
Mcneil, Ebonie
Author Organization(s):
Carnegie Mellon University Pittsburgh United States
Descriptive Note:
Technical Report
Pagination:
0008

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
DM19-0681
Monitor Series:
DM19-0681
 Subject Terms
Joint Capability Areas:
JCA_1.2_Force Preparation; JCA_1_Force Support; JCA_1.2.3_Educating; JCA_3.2_Engagement; JCA_3_Force Application; JCA_3.2.2_Non-Kinetic Means; JCA_6.4_Information Assurance; JCA_6_Net Centric; JCA_5.3_Planning; JCA_5_Command and Control
Modernization Areas:
Autonomy; Cyber
Communities of Interest:
Autonomy
Descriptor(s):
machine learning, prototypes, classification, auditing, software design, automatic, environment, computing related activities, artificial intelligence software, artificial intelligence, digital information, application software, engineers
Field(s)/Group(s):
Cybernetics
Keyword(s):
SCAIFE(Source Code Analysis Integrated Framework Environment), Secure software, manually audit alerts, confidence, alert is true or false, SCAIFE prototype, enables organizations, apply formulas, prioritize static analysis alerts, factors, YAML, REST API principles, interface, SCAIFE API, integrate, communicate, server system, CMU SEI GitHub site
Report Date:
2019 Jan 01
Creation Date:
2019 Aug 07