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May 7, 20260 citationsOpen Access

Jammers: From Villains To Defenders When Interfering Can Help Protect

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JKJoabe Emanuel Neundorff Kautnick

Key Points

  • The aim is to analyze how jammers can serve both malicious and defensive purposes in wireless networks.
  • Reviewed experimental studies of jamming attacks on a sensor network using MicaZ nodes and ZigBee.
  • Evaluated transmission power, node synchronization, and hardware limitations on performance metrics like packet delivery ratio and latency.
  • Examined Distributed Jammer Network models with percolation theory to assess their impact on network connectivity.
  • Demonstrated that controlled interference could effectively degrade malicious traffic under certain conditions.
  • Identified limitations of simulations compared to real-world scenarios with packet success rates and delivery ratios.
  • Outlined the technical, legal, and ethical considerations for employing jammers in network security training.

Abstract

This work analyzes the role of jammers in wireless networks, discussing how such devices can act both as attack agents and as potential components of defensive strategies. Based on a reviews and analyzes experimental studies of jamming attacks against a wireless sensor network composed of MicaZ nodes and the IEEE 802.15.4/ZigBee standard, it evaluates the impact of transmission power, node synchronization and hardware limitations on metrics such as packet delivery ratio, latency and RSSI, contrasting real‑world and simulation results. In parallel, it examines Distributed Jammer Network (DJN) models, in which multiple low‑power jammers are organized as an interfering “network layer”, analyzed through percolation theory, Packet Delivery Ratio (PDR) and Packet Success Rate (PSR) to understand their influence on target network connectivity. Combining these two perspectives, the study explores the “jammers as villains and defenders” duality, assessing to what extent controlled interference can be used as a countermeasure in specific scenarios, for example to degrade malicious flows or in educational and CTF environments focused on wireless security. It highlights limitations of purely simulated models, emphasizes technical, legal and ethical risks of jamming, and proposes guidelines to use jamming experiments and metrics responsibly in network design and security training.

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Joabe Emanuel Neundorff Kautnick (2025) studied this question.

synapsesocial.com/papers/69fc2c4b8b49bacb8b347ed2https://doi.org/10.5281/zenodo.20040760
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