r/AskNetsec • • 6h ago

Analysis Proposal: Ending Cybercrime via "Decoy-First" Infrastructure, Dynamic Tokens, and Hardware Identity Verification [Makibishi system]

1 Upvotes

Post Body (本文):

Hi everyone, I’m a primary school student from Japan.

[Makibishi system]

> The current cyber security paradigm is fundamentally broken. Trying to patch tens of thousands of software vulnerabilities (from legacy Windows 98 software to millions of apps on App Store/Play Store/Steam) is an impossible "whack-a-mole" game. With AI accelerating zero-day exploit generation, traditional passive defense (firewalls, endless patch updates) is bankrupting developers and vendors while failing users.

> To fundamentally destroy the economics of cybercrime, we propose a shift to an active, "Decoy-First & Dynamic Authentication Protocol" across end-user devices, networks, and global infrastructure.

> 1. OS & Endpoint Level: The "Minefield Model" (Hidden Decoys)

>  * Automatic Decoy Generation: Operating systems (iOS, Android, Windows) should natively generate hidden decoy data alongside real user credentials—e.g., 9 hidden email aliases, dummy SMS numbers, honeypot session cookies, fake credential vaults, and bait files.

>  * Zero False Positives: Normal users never touch these decoys. Any process, malware, or external actor attempting to extract or interact with them is flagged with 100% certainty as malicious.

>  * Instant Self-Defeating Response:

>    * The moment malware or a hacker triggers a decoy, the OS instantly invalidates the real credentials and auto-generates a new emergency token. The stolen data becomes useless instantly.

>    * The malicious process is immediately isolated, and its C2 (command & control) network connection is severed.

>    * Telemetry from the triggered decoy is automatically anonymized and sent to vendors (Microsoft, Apple, Google) to generate and deploy automated threat cleanup signatures worldwide in near real-time.

> 2. Network & Ingress Level: Eliminating Anonymity

>  * Hardware-Level Identity Verification: Just as mobile carriers require SIM registration, accessing public network infrastructure should require strict hardware-bound identity verification (IC chips, passkeys, or biometrics).

>  * Blocking Anonymous/Proxy Exploitation: ISP-level filtering should immediately drop connection requests originating from unverified, anonymous, or non-log proxy routes attempting to probe sensitive infrastructure.

> 3. E-Commerce & Financial Transactions: Short-Lived Dynamic Tokens

>  * Eliminating Static CVVs: Online payment systems must discard static 3-digit CVV codes and static credit card numbers in favor of app-based, short-lived one-time authorization tokens (soft tokens).

>  * Destroying Dark Web Markets: Dark web stolen data markets rely on high purity (100% working cards). By flooding the digital ecosystem with self-defeating decoy card numbers and dynamic tokens, the "purity" drops below 50%. The risk of instant detection and arrest deters buyers, destroying the threat actor's ROI.

> 4. Sovereign & Infrastructure Defense: Chemical/Physical Tracer Decoys

>  * Baiting State-Sponsored Cyber Actors: National secrets, power grids, and high-value IP (e.g., patent-level research) should be wrapped in high-density decoy layers (e.g., 99% decoys to 1% real data).

>  * Physical Tracers: Decoy blueprints or chemical formulas can incorporate specific physical/optical signatures. If a rogue state steals the decoy and attempts physical manufacturing or testing, satellite and optical sensors can catch the physical evidence red-handed, triggering immediate diplomatic sanctions.

> Why This Beats Traditional Patching:

>  * Zero Cost on Vulnerability Hunting: You can run legacy, unpatched software safely. Any exploitation attempt will hit the decoy minefield and trigger instant self-isolation.

>  * Economic Checkmate: When the probability of hitting a trap exceeds 50%, the cost of attack and legal risk far outweigh any stolen value. Cybercrime ceases to be a viable business model.

It should also be applicable to mobile phone numbers, iOS Android windows email-addresses, IDs, passwords, routers, SMS, Cryptocurrency, malware, ransomware, viruses, and more.

Crucially, the "Makibishi System" acts as a powerful psychological deterrent long before full implementation.

​Simply announcing, "This OS/router/system integrates the Makibishi Decoy Protocol," fundamentally alters the attacker’s risk calculation. Even if a breach exposes 10,000 entries, a public statement clarifying that 9,990 of them were auto-invalidating decoys and only 10 were real instantly renders the stolen payload worthless on the dark web.

​In an AI-driven era where patching every legacy vulnerability back to Windows 95 is a mathematical impossibility, continuing the "patch-and-pray" strategy is pure futility. By shifting from impossible vulnerability suppression to systemic decoy deterrence, we can neutralize cybercrime as a viable business model overnight.

Crucially, the "Makibishi System" acts as a powerful psychological deterrent long before full implementation.

​Simply announcing, "This OS/router/system integrates the Makibishi Decoy Protocol," fundamentally alters the attacker’s risk calculation. Even if a breach exposes 10,000 entries, a public statement clarifying that 9,990 were auto-invalidating decoys and only 10 were real instantly renders the stolen payload worthless on the dark web.

​Furthermore, this radically mitigates corporate liability and legal damages: instead of paying massive compensation for 10,000 compromised records, the company only faces compensation costs for the 10 real individuals, turning a potential multi-million-dollar catastrophe into a highly manageable incident.

​In an AI-driven era where patching every legacy vulnerability back to Windows 95 is a mathematical impossibility, continuing the "patch-and-pray" strategy is pure futility. By shifting from impossible vulnerability suppression to systemic decoy deterrence, we can neutralize cybercrime as a viable business model overnight.

> Would love to get the thoughts of security researchers, system architects, and OS developers on implementing this multi-layered decoy architecture as an open standard.


r/AskNetsec • • 13h ago

Other Have you ever had a deepfake detector actually catch something during a live call, or does it mainly help you figure things out afterward?

1 Upvotes

Looking into this for work and hitting a wall tbh. Most of what I'm finding is file upload tools or post-call analysis, which is kinda useless when the whole point is catching something while the call is actually happening. Vendors are all claiming real-time deepfake video detection but I can't find anyone talking about what that actually looks like in production.

Has anyone got something running live that flagged something for real, not just in a demo? Also wondering about false positives because I feel like that's where things get messy but nobody seems to talk about it honestly.