Captured record
report:3362:titleHeadline captured
arXiv — Cryptography & Security (cs.CR) recorded this headline on Aug 18, 2026. No lawful structured evidence is available yet to explain the underlying event.
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Brief status
Headline captured
Evidence records
1
Structured pivots
0
Publisher text
Available
Forensia structured brief
Only the source headline is captured. Forensia will not present a generic provenance summary as a threat brief.
Captured record
report:3362:titlearXiv — Cryptography & Security (cs.CR) recorded this headline on Aug 18, 2026. No lawful structured evidence is available yet to explain the underlying event.
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source brief
source-authored · cleanedarXiv:2608.15274v1 Announce Type: new Abstract: Sinkhole attacks in large-scale wireless sensor networks (WSNs) pose a serious threat to network functionality. This paper presents a metaheuristic feature selection for sinkhole attack detection using the bee swarm optimization (BSO) algorithm. In an external sinkhole attack simulation with 2000 nodes deployed over a 3000 $\times$ 3000 m$^2$ field, the proposed method achieves a detection accuracy of 0.997 while reducing the 16-feature set to eight features.
Cleaned from source-provided descriptive text. This is not independent Forensia analysis. Open the original for the publisher's complete reporting.· sha256:dbc9d0afa598ec3b…
No structured IOCs, malware families, threat actors or ATT&CK techniques were extracted from this source document.
evidence set
1 recordsGrouping means the records share event anchors. It does not prove that every publisher independently verified the claims.
rights & provenance
Coverage state measures available context, not whether every claim is true or independently corroborated. Unknown publication rights fail closed to metadata and the original source link.
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