Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances and Challenges of ML & DL in Cybersecurity

Advances and Challenges of ML & DL in Cybersecurity

S. L. Jany Shabu

Paperback

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ISBN10: 6209654347
ISBN13: 9786209654343
Publisher: LAP Lambert Academic Publishing
Published: Feb 23 2026
Pages: 128
Weight: 0.40
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
The integration of cybersecurity and intelligent systems, highlighting how machine learning (ML) and deep learning (DL) enhance modern cyber defense. It introduces foundational cybersecurity concepts, the evolution of threats and defenses, and core ML principles such as data collection, preprocessing, learning algorithms, and challenges including data imbalance, concept drift, scalability, and robustness. The text explores deep learning architectures and their applications in intrusion detection, threat intelligence, and malware analysis, emphasizing anomaly detection, automated threat analysis, and resilience against evasion. It also addresses adversarial machine learning, model robustness, ethical and legal considerations, privacy, and interpretability. The book concludes with emerging AI technologies, autonomous defense systems, and future research directions for building resilient and explainable AI-driven cybersecurity solutions.

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