Name: Cyber Attack Detection Using Deep Learning: SQL, XSS and DDoS Attack Detection Using CNN and LSTM Based Deep Learning Model (en Inglés)
SKU: 66849703
Price: 199428.00 COP
Availability: InStock
Author: Tadhani, Jaydeep
ISBN: 9789999334082

portada Cyber Attack Detection Using Deep Learning: SQL, XSS and DDoS Attack Detection Using CNN and LSTM Based Deep Learning Model (en Inglés)

Cyber Attack Detection Using Deep Learning: SQL, XSS and DDoS Attack Detection Using CNN and LSTM Based Deep Learning Model (en Inglés)

Formato

Libro Físico

Editorial

Eliva Press

Autor

Tadhani, Jaydeep

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.7 cm

ISBN13

9789999334082

Cyber Attack Detection Using Deep Learning: SQL, XSS and DDoS Attack Detection Using CNN and LSTM Based Deep Learning Model (en Inglés)

Tadhani, Jaydeep (Autor) · Eliva Press · Tapa Blanda

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Reseña del libro "Cyber Attack Detection Using Deep Learning: SQL, XSS and DDoS Attack Detection Using CNN and LSTM Based Deep Learning Model (en Inglés)"

The rapid growth and increasing sophistication of cyberattacks-such as SQL injection, cross-site scripting (XSS), and distributed denial-of-service (DDoS) attacks-pose serious challenges to conventional rule-based cybersecurity solutions. This research presents an intelligent deep learning-based cyberattack detection framework designed to overcome the limitations of traditional systems. Two complementary approaches are proposed: one for detecting SQL injection and XSS attacks in web traffic, and another for identifying DDoS attacks in network environments. By combining advanced preprocessing, Word2Vec-based feature extraction, feature selection using Extra Trees, and a hybrid CNN-LSTM model, the proposed system effectively captures both spatial and temporal attack patterns. Extensive evaluations on multiple benchmark datasets, including CICIDS2018, CICDDoS2019, HTTP CSIC 2010, and custom testbed datasets, demonstrate significant performance improvements over existing methods, highlighting the effectiveness and robustness of the proposed approach for modern cyberattack detection.