ReSCIND

Reimagining Security with Cyberpsychology-Informed Network Defenses

INTELLIGENCE VALUE

Solutions from the ReSCIND program will provide defenders a much-needed advantage by expanding the traditional cyber defense toolkit to leverage well-established cognitive biases and human limitations that can be intensified and manipulated to impede cyber attackers. This will help to rebalance the asymmetry of cyber defense, providing a low-risk force-multiplier to help protect National Security Systems and other intelligence community (IC) assets across various phases of a cyber attack.

SUMMARY

In the cyber domain, it is often harder to defend than it is to attack. The ReSCIND program looks to rebalance this asymmetry by exploring novel methods for manipulating the human behind the attack during various stages of a cyber attack. Rather than just detecting and stopping suspicious movement on the network, performers will develop solutions to increase the effort and resources spent by cyber attackers by impacting their decision-making. To support and protect the IC mission, the ReSCIND program’s objectives are to: 1) identify cognitive biases or human limitations relevant to cyber attack behavior, 2) develop technology to induce these biases in the cyber domain and measure the effects of the bias on cyber attacker behavior and successes, 3) provide algorithms for automated adaptation of the solutions, 4) supply cyber-specific computational cognitive models based on observed cyber operations cognition and behavior.

Utilizing the scientific foundation of cyberpsychology and how attacker cognition and behavior can be influenced, performer solutions will take advantage of psychological vulnerabilities, such as innate decision-making biases and human limitations, to manipulate an attacker’s judgement and reaction, potentially causing long-term effects. Performers will create bias sensors that can measure the presence of a bias using typically available cyber data, as well as cyber triggers that create an on-network situation to increase or exacerbate the biases. These sensors and triggers will be combined to create cyberpsychology-informed defenses (CyphiDs). ReSCIND seeks to augment traditional cyber defenses to help rebalance the asymmetry of cyber defense by imposing a cyber penalty on attackers--causing wasted time and effort--thus delaying and thwarting attacks.

Performer solutions are submitted to the ReSCIND Testing & Evaluation (T&E) teams for controlled experimentation through human subjects research (HSR) with cyber experts. The ReSCIND program began in 2023 and has a duration of 45 months. The program comprises three phases, including an 18-month long phase one, a 15-month long phase two, and a 12-month long phase three.

 ReSCIND Chart 20241101

 

HYBRID PROPOSERS' DAY INFORMATION:

ReSCIND Proposers' Day Registration site

Sam.Gov Reference

ReSCIND Teaming Form

ReSCIND Technical Description

Proposers' Day Briefings

ReSCIND Proposers' Day Briefing

ReSCIND Proposers' Day NIWC PAC Slides

AIS Capabilities Statement

AIS Lightning Talk

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ANOVA Intel Capabilities Statement

ANOVA Lightning Talk

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Boston University Capabilities Statement

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Charles River Lightning Talk

Def-Logix Teaming Form

Draper Labs Lightning Talk 

Georgia Tech Teaming Form

GrammaTech Capabilities Statement

GrammaTech Lightning Talk

IBM Research Lightning Talk

Mary Aiken Professor of Cyberpsychology Lightning Talk

Marymount University Capabilities Statement

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Parallax Lightning Talk 

Peraton Lightning Talk

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Riverside Research Institute Lightning Talk

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Related Publications

To access ReSCIND program-related publications, please visit Google Scholar.

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Contact Information

Program Manager

Dr. Kimberly Ferguson-Walter

Broad Agency Announcement (BAA)

Link(s) to BAA

ReSCIND BAA

Solicitation Status

CLOSED

Proposers' Day Date

February 28, 2023

BAA Release Date

April 11, 2023

Proposal Due Date

May 26, 2023

Program Summary

Testing and Evaluation Partners

  • MIT Lincoln Laboratory
  • Lawrence Livermore National Laboratory (U.S. Department of Energy)
  • MITRE

Prime Performers

  • Charles River Analytics, Inc.
  • GrammaTech, Inc.
  • Peraton Labs
  • Raytheon Technologies Research Center
  • SRI International