Reinforcement Learning

Institute a reinforcement learning agent that will detect anomalous events and redirect processes to proceed by ignoring malicious data/input.

Sources

Best Segment for Countermeasure Deployment

  • Space Segment

NIST Rev5 Controls

D3FEND

ISO 27001

ID: CM0068
D3FEND Artifacts: 
Created: 2022/10/19
Last Modified: 2022/10/19

Techniques Addressed by Countermeasure

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ID Name Description
EX-0013 Flooding Threat actors use jamming and flooding attacks to disrupt communications by injecting unexpected noise or messages into a transmission channel. There are several types of attacks that are consistent with this method of exploitation, and they can produce various outcomes. Although, the most prominent of the impacts are denial of service or data corruption. Several elements of the space vehicle may be targeted by jamming and flooding attacks, and depending on the time of the attack, it can have devastating results to the availability of the system.
.02 Erroneous Data Threat actors inject noise into the target channel so that legitimate messages cannot be correctly processed due to data integrity impacts. Additionally, while this technique does not utilize valid commands, the target SV still must consume computing resources to process and discard the signal.
.01 Valid Commands Threat actors may utilize valid commanding as a mechanism for flooding as the processing of these valid commands could expend valuable resources like processing power and battery usage. Flooding the spacecraft bus, sub-systems or link layer with valid commands can create temporary denial of service conditions for the space vehicle while the SV is consumed with processing these valid commands.

Space Threats Addressed by Countermeasure

ID Description