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pith:QFB4EV6B

pith:2026:QFB4EV6BE3XNU7FNAYS53XUZCI
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Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset

Annan Fu, Hao Pei, Maryam Tanha

Self-supervised pre-training on a time-verified Android app dataset delivers 98% accuracy and 89% F1 for malware detection under realistic time constraints.

arxiv:2604.23025 v2 · 2026-04-24 · cs.CR · cs.LG

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3 Author claim open · sign in to claim
4 Citations open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Under time-aware evaluation, the method attains 98% accuracy and 89% F1.

C2weakest assumption

The timestamp-verification procedure produces a dataset whose temporal distribution matches real-world app release patterns and that BYOL pre-training yields obfuscation-resilient representations sufficient for the downstream classification task.

C3one line summary

A verified time-stamped Android app dataset combined with BYOL self-supervised pre-training yields 98% accuracy and 89% F1 under time-aware malware detection evaluation.

Receipt and verification
First computed 2026-06-08T01:04:05.561629Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8143c257c126eeda7cad0625ddde991220745679482e8fcc13fd34a17a4efc15

Aliases

arxiv: 2604.23025 · arxiv_version: 2604.23025v2 · doi: 10.48550/arxiv.2604.23025 · pith_short_12: QFB4EV6BE3XN · pith_short_16: QFB4EV6BE3XNU7FN · pith_short_8: QFB4EV6B
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QFB4EV6BE3XNU7FNAYS53XUZCI \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8143c257c126eeda7cad0625ddde991220745679482e8fcc13fd34a17a4efc15
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CR",
    "submitted_at": "2026-04-24T21:24:48Z",
    "title_canon_sha256": "7edf822aefd7da0515df2cb3eb94ed9289aac5c94a7d25fc3afaccfd99845172"
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