Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386461714> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4386461714 endingPage "3752" @default.
- W4386461714 startingPage "3752" @default.
- W4386461714 abstract "Automatic modulation recognition (AMR) serves as a crucial component in domains such as cognitive radio and electromagnetic countermeasures, acting as a significant prerequisite for the efficient signal processing of receivers. Deep neural networks (DNNs), despite their effectiveness, are known to be vulnerable to adversarial attacks. This vulnerability has inspired the introduction of subtle interference to wireless communication signals—interference so minuscule that it is difficult for the human eye to discern. Such interference can mislead eavesdroppers into erroneous modulation pattern recognition when using DNNs, thereby camouflaging communication signal modulation patterns. Nonetheless, the majority of current camouflage methods used for electromagnetic signal modulation recognition rely on a global perturbation of the signal. They fail to consider the local agility of signal disturbance and the concealment requirements for bait signals that are intercepted by the interceptor. This paper presents a generator framework designed to produce perturbations with sparse properties. Furthermore, we introduce a method to reduce spectral loss, which minimizes the spectral difference between adversarial perturbation and the original signal. This method makes perturbation more challenging to monitor, thereby deceiving enemy electromagnetic signal modulation recognition systems. The experimental results validated that the proposed method significantly outperformed existing methods in terms of generation time. Moreover, it can generate adversarial signals characterized by high deceivability and transferability even under extremely sparse conditions." @default.
- W4386461714 created "2023-09-06" @default.
- W4386461714 creator A5011261173 @default.
- W4386461714 creator A5012598427 @default.
- W4386461714 creator A5026987772 @default.
- W4386461714 creator A5051120464 @default.
- W4386461714 creator A5055347659 @default.
- W4386461714 creator A5059432345 @default.
- W4386461714 creator A5077743963 @default.
- W4386461714 creator A5091669764 @default.
- W4386461714 date "2023-09-05" @default.
- W4386461714 modified "2023-09-27" @default.
- W4386461714 title "Sparse Adversarial Attacks against DL-Based Automatic Modulation Classification" @default.
- W4386461714 cites W1994070994 @default.
- W4386461714 cites W2180612164 @default.
- W4386461714 cites W2243397390 @default.
- W4386461714 cites W2272847350 @default.
- W4386461714 cites W2543927648 @default.
- W4386461714 cites W2603396821 @default.
- W4386461714 cites W2734408173 @default.
- W4386461714 cites W2773170971 @default.
- W4386461714 cites W2781800156 @default.
- W4386461714 cites W2912736842 @default.
- W4386461714 cites W2963448658 @default.
- W4386461714 cites W2963809753 @default.
- W4386461714 cites W2963855547 @default.
- W4386461714 cites W2963857521 @default.
- W4386461714 cites W2964152294 @default.
- W4386461714 cites W3011544674 @default.
- W4386461714 cites W3087940812 @default.
- W4386461714 cites W3103557498 @default.
- W4386461714 cites W3195566117 @default.
- W4386461714 cites W3207722570 @default.
- W4386461714 cites W4324291272 @default.
- W4386461714 doi "https://doi.org/10.3390/electronics12183752" @default.
- W4386461714 hasPublicationYear "2023" @default.
- W4386461714 type Work @default.
- W4386461714 citedByCount "0" @default.
- W4386461714 crossrefType "journal-article" @default.
- W4386461714 hasAuthorship W4386461714A5011261173 @default.
- W4386461714 hasAuthorship W4386461714A5012598427 @default.
- W4386461714 hasAuthorship W4386461714A5026987772 @default.
- W4386461714 hasAuthorship W4386461714A5051120464 @default.
- W4386461714 hasAuthorship W4386461714A5055347659 @default.
- W4386461714 hasAuthorship W4386461714A5059432345 @default.
- W4386461714 hasAuthorship W4386461714A5077743963 @default.
- W4386461714 hasAuthorship W4386461714A5091669764 @default.
- W4386461714 hasBestOaLocation W43864617141 @default.
- W4386461714 hasConcept C107038049 @default.
- W4386461714 hasConcept C123079801 @default.
- W4386461714 hasConcept C127162648 @default.
- W4386461714 hasConcept C138885662 @default.
- W4386461714 hasConcept C154945302 @default.
- W4386461714 hasConcept C199360897 @default.
- W4386461714 hasConcept C2779843651 @default.
- W4386461714 hasConcept C41008148 @default.
- W4386461714 hasConcept C47798520 @default.
- W4386461714 hasConcept C76155785 @default.
- W4386461714 hasConceptScore W4386461714C107038049 @default.
- W4386461714 hasConceptScore W4386461714C123079801 @default.
- W4386461714 hasConceptScore W4386461714C127162648 @default.
- W4386461714 hasConceptScore W4386461714C138885662 @default.
- W4386461714 hasConceptScore W4386461714C154945302 @default.
- W4386461714 hasConceptScore W4386461714C199360897 @default.
- W4386461714 hasConceptScore W4386461714C2779843651 @default.
- W4386461714 hasConceptScore W4386461714C41008148 @default.
- W4386461714 hasConceptScore W4386461714C47798520 @default.
- W4386461714 hasConceptScore W4386461714C76155785 @default.
- W4386461714 hasIssue "18" @default.
- W4386461714 hasLocation W43864617141 @default.
- W4386461714 hasOpenAccess W4386461714 @default.
- W4386461714 hasPrimaryLocation W43864617141 @default.
- W4386461714 hasRelatedWork W1554973158 @default.
- W4386461714 hasRelatedWork W1974040140 @default.
- W4386461714 hasRelatedWork W2028478013 @default.
- W4386461714 hasRelatedWork W2068303356 @default.
- W4386461714 hasRelatedWork W2127587490 @default.
- W4386461714 hasRelatedWork W2140859078 @default.
- W4386461714 hasRelatedWork W2141181202 @default.
- W4386461714 hasRelatedWork W2347289304 @default.
- W4386461714 hasRelatedWork W2348969936 @default.
- W4386461714 hasRelatedWork W2382546352 @default.
- W4386461714 hasVolume "12" @default.
- W4386461714 isParatext "false" @default.
- W4386461714 isRetracted "false" @default.
- W4386461714 workType "article" @default.