Intrusion Detection and Prevention System Using Futuristic Artificial Intelligence in Cyber Security (Paperback)

Sprache: Englisch

Verlag: Eliva Press, 2026

9999342264 / 9789999342261

Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 12. Oktober 2005

Softcover

Zustand: Neu

EUR 63,69

 Versand gratis 
Versand innerhalb von USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

Paperback. In cyber security, where threats are always evolving, state-of-the-art protections for digital infrastructures are of the utmost importance. The growing sophistication and regularity of cyber assaults makes traditional intrusion detection and prevention methods inadequate in protecting networks and systems. The integration of state-of-the-art AI into intrusion detection and prevention systems (IDPS) has been a tremendous boon in the battle against existing and future cyber dangers. Artificial intelligence (AI)-driven systems may learn from patterns, adapt to new dangers, and autonomously respond to events, providing a dynamic layer of protection that traditional static systems cannot match. Integrating AI into IDPS allows for a shift from a reactive to a proactive and predictive approach. Systems powered by AI can distinguish anomalies, anticipate attacks, and react in real-time, in contrast to traditional systems that rely mostly on predefined signatures and rules. Systems may differentiate between safe and dangerous patterns of behavior with the use of machine learning algorithms, particularly supervised and unsupervised learning models. With the help of AI, intelligent detection and prevention systems can keep a close eye on system operations, user activities, and network traffic in real-time, searching for any signs of intrusion, no matter how subtle. A lower risk of injury results from these abilities since they drastically reduce the amount of time needed to identify threats. Artificial intelligence models of the future will train themselves using enormous amounts of data, both historical and real-time, to increase their intelligence and precision. Using RNNs and other deep learning models with CNNs is a crucial component in enhancing IDPS's detection capabilities. Complex data correlations and patterns may be exposed by these models, which are typically imperceptible to traditional systems and human analysts. The speed and size with which AI systems can process and analyze data makes it possible to quickly identify and eliminate even the most minor threats. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Bestandsnummer des Verkäufers 9789999342261

Titel
Intrusion Detection and Prevention System Using Futuristic Artificial Intelligence in Cyber Security (Paperback)
Autor
Dileep Singh Kushwah
Verlag
Eliva Press
Erscheinungsjahr
2026
Zustand
new
Einband
Paperback
Sprache
Englisch
ISBN-10
9999342264
ISBN-13
9789999342261

Grand Eagle Retail

Bensenville, IL, USA

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 12. Oktober 2005

Versandkosten innerhalb von USA

Artikel6 bis 14 Werktage6 bis 16 Werktage
Erster ArtikelEUR 0,00EUR 0,00
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

APOLLO ONLINE CORP.

605 Geddes Street
Wilmington, DE USA 19805