On the public citation graph

Cyber-Defensive Architecture for Networked Industrial Control Systems

0 signed · 9 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.6028/nist.sp.800-82e2008openalex-snapshot
Guide to Industrial control Systems (ICS) security :
inferredcites →https://doi.org/10.6028/nist.sp.800-82r2openalex-snapshot
Guide to Industrial Control Systems (ICS) Security

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.1930709openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-01054-6_5openalex-snapshot
The Cognitive Packet Network with QoS and Cybersecurity Deep Learning Clusters
inferred← citeshttps://doi.org/10.1007/s13201-021-01513-2openalex-snapshot
Spatial mapping of groundwater quality in the municipality of Santa Ignacia, Tarlac, Philippines
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.07.101openalex-snapshot
Deep Learning Clusters in the Cognitive Packet Network
inferred← citeshttps://doi.org/10.26583/bit.2020.2.08openalex-snapshot
Development of secure architectures for process control systems
inferred← citeshttps://doi.org/10.3103/s0146411624701074openalex-snapshot
Development of Software and Hardware to Protect Technological Processes from Cyber Threats
inferred← citeshttps://doi.org/10.3233/af-13016openalex-snapshot
Nonlinear support vector machines can systematically identify stocks with high and low future returns
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.