Cyber Deterrence or: How We Learned to Stop Worrying and Love the Signal
“Cyber Deterrence or: How We Learned to Stop Worrying and Love the Signal”
Speaker: Welburn, J. (RAND)
Date: 7 November 2019
Speaker Session Preview
SMA hosted a speaker session presented by Dr. Jonathan Welburn (RAND) as a part of its SMA General Speaker Series. Dr. Welburn began by discussing the current state of cyber space and cyber conflict. He then stated that the need for cyber deterrence has drawn key attention from US strategists. Dr. Welburn also highlighted the similarities and differences between classical and cyber deterrence, in addition to two key problems relevant to cyber deterrence: the attribution problem (attribution is often ambiguous after an attack has occurred) and the signaling problem (unlike conventional weapons, one cannot test cyber weapons or publicly display them, so it is often unclear as to what an actor’s cyber capabilities are). He then stated that within cyber deterrence, there is a specific defender strategy space, which reveals opportunities for deterrence through denial (e.g., deception, interdiction, patching) and punishment (e.g., public attribution, retaliation). He highlighted some of the current literature written on retaliation, which his team chose to focus on when designing its cyber deterrence game. Dr. Welburn then explained how his team designed this game, which involved two players: the attacker, who had the option to attack or not attack, and the defender, who had the options to signal or not signal and to retaliate or not retaliate. The attacker lacked perfect knowledge on the defender’s capability to punish by retaliation, which represented the signaling problem, while the defender lacked perfect knowledge of the attack’s occurrence and origin, which represented the attribution problem. After reviewing the attacker’s and defender’s incentives and how the game operated, Dr. Welburn presented his team’s key findings: 1) defenders should be deceptive of their true capabilities, 2) defenders should signal deceptively, 3) high attribution improves deterrence, and 4) increasing the cost of correct retaliation relative to incorrect retaliation improves deterrence. To conclude, Dr. Welburn stated that his team believes that cyber deterrence is possible, and deterrence by denial is ideal from a US cyber deterrence policy standpoint. However, he suggested that the DOD can improve its deterrence through an adversary-specific retaliation strategy, which would utilize both deception and signaling.
Jonathan W. Welburn is an operations researcher at the RAND Corporation. His researchtakes an interdisciplinary approach, leveraging game theory, computational economics, decisionanalysis, and analytics to study cybersecurity and systemic risks. His current research explorestopics of cyber deterrence, systemic cyber risk, and the cybersecurity of industrial supply chains.
Justin Grana is an associate economist at the RAND Corporation. He uses rigorous andquantitative economic reasoning to address complex policy problems. Some of his recent workincludes investigating the value of signaling for cyber deterrence, the roles of fractionation andheterogeneity in competitive resource allocation and protecting machine learning models fromtheft. Justin’s recent empirical work is centered around analyzing contracting data for the USArmy and determining how the distribution of contractors impacts Army costs and efficiency.
Karen Schwindt is a policy analyst at the RAND corporation specializing in cyber policy,regional security issues, and strategic planning. Her research interests broadly include U.S.Military Interventions; Afghanistan, Pakistan and U.S. policy toward Southwest Asia; Russianand Iranian foreign and security policies; Chinese political economy; hybrid or asymmetricwarfare; and counterterrorism/counterinsurgency. She is also interested in mental health issues,including military and veteran mental health; violence/trauma and traumatic brain injury, suchas posttraumatic stress disorder (PTSD); violence against women; and the use of technology todeliver evidence-based psychotherapy and cognitive behavioral therapy
