Results 11 to 20 of about 6,996 (263)
Noise Enhanced Signal Detection of Variable Detectors under Certain Constraints [PDF]
In this paper, a noise enhanced binary hypothesis-testing problem was studied for a variable detector under certain constraints in which the detection probability can be increased and the false-alarm probability can be decreased simultaneously. According
Ting Yang +4 more
doaj +2 more sources
Development an Anomaly Network Intrusion Detection System Using Neural Network [PDF]
Most intrusion detection systems are signature based that work similar to anti-virus but they are unable to detect the zero-day attacks. The importance of the anomaly based IDS has raised because of its ability to deal with the unknown attacks.
Kais Said Al-Sabbagh +2 more
doaj +3 more sources
Randomizing ties in a sign radar detector [PDF]
A general formulation to consider the effects of typical randomization methods (RMs) for a digital application of Generalized Sign Test (GST) detector in Radar is introduced. A first approximation leads us to some basic restrictions to be imposed to RMs.
Figueiras Vidal, Aníbal R. +4 more
core +4 more sources
Efficient Simulation Of Random Signal Detectors [PDF]
As the complexity of a detection algorithm increases, analytic performance evaluation becomes increasingly difficult and is often intractable. In such cases, Monte Carlo sunulations can be used, but they often require an excessive amount of computation.
Padgett, Wayne, Williams, D.
openaire +2 more sources
Randomized ancillary qubit overcomes detector-control and intercept-resend hacking of quantum key distribution [PDF]
Practical implementations of quantum key distribution (QKD) have been shown to be subject to various detector side-channel attacks that compromise the promised unconditional security.
Saleh, Bahaa E. A. +2 more
core +2 more sources
A Semidefinite Relaxation Approach to OFDM-IM Detection in Rapidly Time-Varying Channels
In this paper, the signal detection of orthogonal frequency division multiplexing with index modulation (OFDM-IM) in the rapidly time-varying channel is studied.
Jianping Zheng, Hongmei Lv
doaj +1 more source
Defeating Adversarial Attacks Againt Adversarial attacks in Network Security [PDF]
We investigate if the feature randomization approach to improve the robustness of forensic detectors to targeted attacks in network security, can be extended to detectors based on deep learning features.
Ehsan Nowroozi +5 more
core +1 more source
Generating Synthetic Image Data with Blender to Address Data Scarcity in Military Applications: Leveraging the RF-DETR Model [PDF]
Military vehicle recognition faces critical data scarcity due to operational security constraints and prohibitive collection costs. Classification of vehicles demands extensive training data rarely available in defence contexts.
J. C. Berndt +2 more
doaj +1 more source
Resampling the peak, some dos and don'ts [PDF]
Resampling techniques are used widely within the ERP community to assess statistical significance and especially in the deception detection literature.
Zoumpoulaki, Alexia +3 more
core +1 more source
Background Microembolism is a frequent pathological event during extracorporeal renal replacement therapy (RRT). Some previous data indicate that microemboli are generated in patients who are undergoing RRT and that these may contribute to increased ...
Gabor Erdoes +8 more
doaj +1 more source

