Articles

Neuromorphic computing systems are desirable for several applications because they achieve similar accuracy to graphic processing unit (GPU)-based systems while consuming a fraction of the size, weight, power, and cost (SWaP-C). Because of this, the feasibility of developing a real-time cybersecurity system for high-performance computing (HPC) environments using full precision/GPU and reduced precision/neuromorphic technologies was previously investigated. This work was the first to compare the performance of full precision and neuromorphic computing on the same data and neural network and Intel and BrainChip neuromorphic offerings. Results were promising, with up to 93.7% accuracy in multiclass classification—eight attack types and one benign class.

Zero Trust Architecture (ZTA) has become a mainstream information security philosophy. Many commercial enterprises are in varying stages of their journeys in adopting and implementing ZTA. Similarly, federal policy has moved toward ZTA, motivated by actions such as Executive Order 14028 and guided by NIST 800-207 and CISA’s Zero Trust Maturity.