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BEGIN:VEVENT
UID:917@lincs.fr
DTSTART;TZID=Europe/Paris:20251119T140000
DTEND;TZID=Europe/Paris:20251119T150000
DTSTAMP:20251126T123610Z
URL:https://www.lincs.fr/events/ddos-attacks-impacts-detection-methods-and
 -advanced-strategies/
SUMMARY:DDoS Attacks: Impacts\, detection methods\, and advanced strategies
DESCRIPTION:Distributed Denial of Service (DDoS) attack detection remains a
 challenging problem in cybersecurity. In DDoS\, a network of compromised
 devices is used to overwhelm a target with a flood of requests\, making it
 unable to serve legitimate requests. Recently\, we have witnessed
 increasing interest in DDoS detection using machine learning (ML) and deep
 learning (DL) algorithms. ML/DL can improve the detection accuracy\, but
 they can still be evaded through the use of ML/DL techniques in the
 generation of the attack traffic. In this talk\, we will discuss DDoS
 attacks\, their impacts\, and detection solutions. We will also present a
 DDoS detection method based on Long Short-Term Memory (LSTM) and explain
 how a GAN model generator can create DDoS traffic that closely matches the
 DDoS instances from our dataset\, making it appear similar to benign
 traffic. Additionally\, we will explain how to enhance this approach to
 detect adversarial DDoS attacks.
CATEGORIES:Seminars,Youtube
LOCATION:Amphi 5\, 19 Place Marguerite Perey\, Palaiseau\, France
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 Palaiseau\, France;X-APPLE-RADIUS=100;X-TITLE=Amphi 5:geo:0,0
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TZID:Europe/Paris
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DTSTART:20251026T020000
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