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Jun 19, 2023 · Our results indicate that Bloodhound+ can detect indoor jamming up to 20 meters away from the jamming source at the minimum available relative ...
Jun 19, 2023 · This paper proposes Bloodhound+, a solution for jamming detection on mobile devices in low-BER regimes.
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Dec 19, 2023 · The current state of the art on jamming detection relies on link-layer metrics. A few examples are the bit-error rate (BER), ...
Dec 12, 2023 · Our solution is rooted in the idea that a drone unknowingly flying toward a jammed area is experiencing an increasing effect of the jamming, ...
Early Jamming Detection in Mobile Indoor Scenarios via Deep Learning. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/corr/abs-2306 ...
The proposed solution, namely, BloodHound, can early detect the approach to a jammer in a mobile scenario, i.e., before losing the capability of ...
Apr 15, 2024 · The current state of the art on jamming detection relies on link-layer metrics. A few examples are the bit-error rate (BER), ...
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Abstract— Traditional jamming detection techniques, adopted in static networks, require the receiver (under jamming) to infer the presence of the jammer by ...
Sep 8, 2024 · Jamming Detection in Low-BER Mobile Indoor Scenarios via Deep Learning ... It is a DL-based process using sparse We first convert the matrix of ...
Detailed evaluations show that DeepJam can converge within 10 sec and achieve the jamming-efficiency gains of up to 742% and. 285% over conventional random and ...
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