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Preprint . 2026
License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Volatile Cyber Defense (VCD)

Authors: YAMASHITA, TAKERU;

Volatile Cyber Defense (VCD)

Abstract

Modern security design assumes that preventing attacks is the primary goal, delegating the handling of post-intrusion contaminated states to after-the-fact forensic investigation. However, when an attacker breaches the first line of defense, the contaminated execution state persists in the system, providing a foothold for lateral movement, long-term persistence, and evidence destruction. We propose Volatile Cyber Defense (VCD) as a new defense paradigm to address this problem. VCD is based on the design principle: "when an attack is detected, the process immediately preserves evidence and self-destructs, then recovers in a clean state." Unlike existing approaches such as Moving Target Defense, Phoenix Servers, and Intrusion Tolerance, VCD is unique in simultaneously adopting detection-triggered immediate self-destruction, forensics-first termination, and autonomous recovery as its core design principles — a combination with no precedent in prior research. This paper demonstrates the technical feasibility of VCD through a multi-layer volatile implementation using Elixir/OTP and Kubernetes at both the process and container levels.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green