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Przegląd systematyczny: informacje o bezpieczeństwie dla podejść agentowych w sieciach - modele i metody
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Abstrakty
The proliferation of dangers to transmitting vital information across a communication channel has resulted from the advancement of communication systems. One of the security information is hiding secret information using agent approaches for clandestine transmission, protecting against data theft across increasing networks. Hence, it is often employed to address data security concerns. It's difficult to choose the right cover image to hide vital information; therefore, researchers used AI and agent-based algorithms to help secure information hiding. This investigation looked at Web of Science, PubMed, Science Direct, IEEE Xplore, and Scopus. A collection of 658 articles from 2018 to 2022 is gathered to give a better picture and deeper knowledge of academic publications through a final selection of 66 papers based on our exclusion and inclusion criteria. The selected articles were organized by resemblance, objectivity, and goal. First, "cover multimedia selection based on agent approaches" (n = 49). This category contains two subparts: (a) Selection based on agent techniques towards steganography system and (b) Selection based on agent techniques towards steganalysis system" (n = 17). This systematic study highlighted the motives, taxonomy, difficulties and recommendations of cover image selection study employing agent methodologies that require synergistic consideration. In order to execute the recommended research solution for an integrated agent-steganography system, this systematic study emphasizes the unmet obstacles and provides a thorough scientific analysis. Finally, the current study critically reviews the literature, addresses the research gaps, and highlights the available datasets for steganography systems, AI algorithms and agent techniques, and the evaluation matrices collected from the closing papers.
Rozprzestrzenianie się zagrożeń związanych z przesyłaniem ważnych informacji przez kanał komunikacyjny wynika z rozwoju systemów komunikacyjnych. Jedną z informacji o bezpieczeństwie jest ukrywanie tajnych informacji za pomocą agentów do tajnej transmisji, chroniąc przed kradzieżą danych w rozrastających się sieciach. Dlatego jest często używany do rozwiązywania problemów związanych z bezpieczeństwem danych. Trudno jest wybrać odpowiedni obraz na okładkę, aby ukryć ważne informacje; dlatego badacze wykorzystali sztuczną inteligencję i algorytmy oparte na agentach, aby pomóc w zabezpieczeniu ukrywania informacji. Dochodzenie to dotyczyło Web of Science, PubMed, Science Direct, IEEE Xplore i Scopus. Zebrano zbiór 658 artykułów z lat 2018-2022, aby dać lepszy obraz i głębszą wiedzę na temat publikacji akademickich poprzez ostateczny wybór 66 artykułów w oparciu o nasze kryteria wykluczenia i włączenia. Wybrane artykuły zostały uporządkowane według podobieństwa, obiektywności i celu. Po pierwsze, „obejmij wybór multimediów w oparciu o podejście agenta” (n = 49). Ta kategoria zawiera dwie podczęści: (a) Selekcja oparta na technikach agentowych w kierunku systemu steganografii oraz (b) Selekcja oparta na technikach agentowych w kierunku systemu steganalizy” (n = 17). To systematyczne badanie podkreśliło motywy, taksonomię, trudności i zalecenia dotyczące pokrycia badanie selekcji obrazów wykorzystujące metodologie agentów, które wymagają rozważenia synergii. W celu wykonania zalecanego rozwiązania badawczego dla zintegrowanego systemu agent-steganografia, to systematyczne badanie podkreśla niespełnione przeszkody i zapewnia dogłębną analizę naukową. Wreszcie, obecne badanie dokonuje krytycznego przeglądu literatury , odnosi się do luk badawczych i podkreśla dostępne zestawy danych dla systemów steganografii, algorytmów sztucznej inteligencji i technik agentów oraz macierze oceny zebrane z dokumentów końcowych.
Wydawca
Czasopismo
Rocznik
Tom
Strony
260--269
Opis fizyczny
Bibliogr. 120 poz., rys., tab.
Twórcy
- Informatics Institute for Postgraduate Studies Iraq Commission for Computer and Informatics
autor
- Informatics Institute for Postgraduate Studies Iraq Commission for Computer and Informatics
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-efbbaca9-1940-44cc-bf6e-f65635fad197