{"id":45,"date":"2025-03-12T08:18:07","date_gmt":"2025-03-12T08:18:07","guid":{"rendered":"https:\/\/sentai-project.io\/?page_id=45"},"modified":"2025-03-12T14:41:06","modified_gmt":"2025-03-12T14:41:06","slug":"objectives","status":"publish","type":"page","link":"https:\/\/sentai-project.io\/index.php\/objectives\/","title":{"rendered":"Objectives"},"content":{"rendered":"\n<p style=\"font-size:16px\"><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Development of a comprehensive artificial intelligence-based cybersecurity system.<\/li>\n\n\n\n<li>Integration of diverse datasets to improve the understanding of AI performance across various scenarios and data types.<\/li>\n\n\n\n<li>Incorporation of contemporary datasets to address the challenge of training and testing AI models on outdated data.<\/li>\n\n\n\n<li>Design of AI-based cybersecurity solutions that seamlessly integrate into the entire system, promoting relevance to real-world scenarios.<\/li>\n\n\n\n<li>Evaluation of solutions against a broad range of real-world scenarios and diverse attack types to ensure practical applicability.<\/li>\n\n\n\n<li>Implementation of robust infrastructure and methodologies for the storage and analysis of extensive security data, addressing the big-data problem.<\/li>\n\n\n\n<li>Rigorous testing of each AI model with varied datasets to enhance adaptability and robustness.<\/li>\n\n\n\n<li>Thorough evaluation of specific datasets with various AI models to optimize their performance in different scenarios.<\/li>\n\n\n\n<li>Contribution to the advancement of AI in cybersecurity by bridging existing research gaps.<\/li>\n\n\n\n<li>Overall enhancement of the effectiveness, relevance, and practical application of AI-based cybersecurity solutions.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"Development of a comprehensive artificial intelligence-based cybersecurity system. Integration of diverse datasets to improve the understanding of AI performance across<a class=\"read-more\" href=\"https:\/\/sentai-project.io\/index.php\/objectives\/\">...<\/a>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","iawp_total_views":86,"footnotes":""},"class_list":["post-45","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/sentai-project.io\/index.php\/author\/admin\/"},"uagb_comment_info":0,"uagb_excerpt":null,"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/pages\/45","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":10,"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/pages\/45\/revisions"}],"predecessor-version":[{"id":128,"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/pages\/45\/revisions\/128"}],"wp:attachment":[{"href":"https:\/\/sentai-project.io\/index.php\/wp-json\/wp\/v2\/media?parent=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}