Final Report for Bio-Inspired Approaches to Moving-Target Defense Strategies

Fink, Glenn A. ; Oehmen, Christopher S.

关键词: Digital Ants;    Genetic Algorithms;    MLSTONES;    Bioinformatic Classification;    Moving target;    cyber defense;   

DOI  :  10.2172/1059207
RP-ID  :  PNNL-21854
PID  :  OSTI ID: 1059207
Others  :  Other: 400470000

美国|英语

来源: SciTech Connect

【 摘 要 】

This report records the work and contributions of the NITRD-funded Bio-Inspired Approaches to Moving-Target Defense Strategies project performed by Pacific Northwest National Laboratory under the technical guidance of the National Security Agency???s R6 division. The project has incorporated a number of bio-inspired cyber defensive technologies within an elastic framework provided by the Digital Ants. This project has created the first scalable, real-world prototype of the Digital Ants Framework (DAF)[11] and integrated five technologies into this flexible, decentralized framework: (1) Ant-Based Cyber Defense (ABCD), (2) Behavioral Indicators, (3) Bioinformatic Clas- sification, (4) Moving-Target Reconfiguration, and (5) Ambient Collaboration. The DAF can be used operationally to decentralize many such data intensive applications that normally rely on collection of large amounts of data in a central repository. In this work, we have shown how these component applications may be decentralized and may perform analysis at the edge. Operationally, this will enable analytics to scale far beyond current limitations while not suffering from the bandwidth or computational limitations of centralized analysis. This effort has advanced the R6 Cyber Security research program to secure digital infrastructures by developing a dynamic means to adaptively defend complex cyber systems. We hope that this work will benefit both our client???s efforts in system behavior modeling and cyber security to the overall benefit of the nation.