Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets - Couverture souple

Durga Prasad, Patinavalasa ; Duvvuri, Suneel Kumar

9786209891786: Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets

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ISBN 10 : 6209891780 ISBN 13 : 9786209891786

Editeur : LAP Lambert Academic Publishing, 2026

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6209891780
ISBN 13: 9786209891786
Reliure: Broch�
Nombre de pages: 112
Coordonn�es du fabricant: non disponible
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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets (Paperback)

Patinavalasa Durga Prasad

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Paperback. Etat : new. Paperback. Email has become one of the most widely used communication platforms in modern digital society. However, the rapid growth of email communication has also led to a significant increase in unsolicited and malicious emails commonly referred to as spam. Spam emails are not only a source of inconvenience for users but also a major channel for cyber threats, including phishing attacks, malware distribution, financial fraud, and identity theft. Traditional spam filtering techniques, such as rule-based filtering and conventional machine learning algorithms, often rely on keyword matching or statistical word frequency models. Although these approaches have shown moderate success, they fail to effectively capture the contextual meaning and sequential structure of natural language, allowing sophisticated spam messages to bypass traditional filters. This research proposes an advanced deep learning-based email spam detection system using a Bidirectional Long Short-Term Memory (BiLSTM) architecture to overcome the limitations of traditional approaches. The primary objective of this study is to develop a context-aware spam classification model that accurately distinguishes spam from legitimate. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786209891786

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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets

Durga Prasad, Patinavalasa; Duvvuri, Suneel Kumar

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets

Durga Prasad, Patinavalasa

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets

Suneel Kumar Duvvuri

Edit� par LAP LAMBERT Academic Publishing Jun 2026, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch. N� de r�f. du vendeur 9786209891786

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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets (Paperback)

Patinavalasa Durga Prasad

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Paperback. Etat : new. Paperback. Email has become one of the most widely used communication platforms in modern digital society. However, the rapid growth of email communication has also led to a significant increase in unsolicited and malicious emails commonly referred to as spam. Spam emails are not only a source of inconvenience for users but also a major channel for cyber threats, including phishing attacks, malware distribution, financial fraud, and identity theft. Traditional spam filtering techniques, such as rule-based filtering and conventional machine learning algorithms, often rely on keyword matching or statistical word frequency models. Although these approaches have shown moderate success, they fail to effectively capture the contextual meaning and sequential structure of natural language, allowing sophisticated spam messages to bypass traditional filters. This research proposes an advanced deep learning-based email spam detection system using a Bidirectional Long Short-Term Memory (BiLSTM) architecture to overcome the limitations of traditional approaches. The primary objective of this study is to develop a context-aware spam classification model that accurately distinguishes spam from legitimate. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786209891786

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Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets | Scalable Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets

Patinavalasa Durga Prasad (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209891780 ISBN 13 : 9786209891786

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Taschenbuch. Etat : Neu. Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets | Scalable Email Spam Detection Using BiLSTM with Large Scale Hybrid Datasets | Patinavalasa Durga Prasad (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209891786 | Verantwortliche Person f�r die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr�ck, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N� de r�f. du vendeur 135985201

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