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	<title>CIC-IDS-2017 &#8211; BIOENGINEER.ORG</title>
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		<title>Hybrid AI Turns Network Traffic Into Images to Catch Cyberattacks</title>
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		<pubDate>Sun, 11 Oct 2026 00:35:56 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[CIC-IDS-2017]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[explainability]]></category>
		<category><![CDATA[intrusion detection]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[network security]]></category>
		<category><![CDATA[NSL-KDD]]></category>
		<category><![CDATA[Swin Transformer]]></category>
		<category><![CDATA[UNSW-NB15]]></category>
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					<description><![CDATA[Researchers in Algeria have combined convolutional neural networks with a Swin Transformer to detect network intrusions with up to 99.69 percent accuracy by converting traffic data into images.]]></description>
		
		
		
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