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1 mentions in 7 days · 2 in 30 days · 2 total · first seen Sep 2, 2026 · last 1d ago

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JANUS: Denial-of-Service Attack Against Beam Hopping in LEO Satellite Networks

Researchers present JANUS, a botnet-driven attack that manipulates beam-hopping schedulers in LEO satellite networks, denying service to up to 95% of victims.

JANUS is a targeted denial-of-service attack against beam-hopping systems in LEO satellite networks, exploiting the scheduler's reliance on observed traffic demand. A small botnet of compromised terminals injects legitimate-looking traffic into non-victim cells, distorting demand estimates and redirecting beams away from the victim area. Against a rank-based KMAX scheduler, JANUS achieves complete service denial for up to ~95% of evaluated victims; against a DRL scheduler, it excludes the victim from ~92% of scheduling decisions. The authors also propose mitigation strategies that reduce attack effectiveness.

arXiv cs.CRSep 17, 09:49 UTC · 1d agoResearch

EVOHARNESSBENCH: Can Your Agents Keep Pace with an Evolving Harness?

Researchers introduce EVOHARNESSBENCH, a benchmark showing that evolving agent harnesses (tools, skills, agents) cause forgetting and inconsistent adaptation across 802 tasks.

The paper introduces EVOHARNESSBENCH, a benchmark that places non-stationarity in the externally supplied agent harness rather than in the task stream, evaluating agents across tools, skills, and specialist agents. It comprises 17 multi-stage harness streams built deterministically from verifier-based benchmarks, totaling 802 tasks, 520 tools, 42 skills, and 62 agents. Evaluation covers deployment (retention of previously accessible competence) and self-evolving adaptation settings. Results show harness expansion alone degrades previously solved tasks (harness-induced forgetting), adaptation gains are inconsistent, and retention and adaptation can pull in opposite directions.

Hugging Face daily papersSep 2, 20:00 UTC · 15d agoAI research

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