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Malware Analysis Using Artificial Intelligence and Deep Learning
Manage episode 513147045 series 3683458
CyberSecurity Summary에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CyberSecurity Summary 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Discuss artificial intelligence and deep learning techniques applied to malware analysis and detection, as well as other cybersecurity challenges. They cover various neural network architectures like MLPs, CNNs, RNNs, LSTMs, and GANs, and their effectiveness in tasks such as classifying malware families, identifying malicious URLs, and detecting anomalies in network traffic or system logs. The papers also explore methods for feature extraction from malware binaries, including static and dynamic analysis, and how adversarial examples can challenge these detection systems. Furthermore, they address the use of AI for troll detection on social media platforms and image spam classification.
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Malware-Analysis-Artificial-Intelligence-Learning/dp/3030625818?&linkCode=ll1&tag=cvthunderx-20&linkId=c97d080f094227b8fb921fea640e5e56&language=en_US&ref_=as_li_ss_tl
1001 에피소드
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