Detection for Software Defined Networking with Machine Learning by Muthamil Suda

Description: Detection for Software Defined Networking with Machine Learning by Muthamil Sudar Estimated delivery 3-12 business days Format Paperback Condition Brand New Description As the use of Software Defined Networking (SDN) becomes increasingly prevalent, securing these dynamic and programmable network architectures becomes paramount. The "Design of Intrusion Detection System for Software Defined Networking Using Machine Learning Algorithms" offers a groundbreaking solution to safeguard SDN environments against potential threats and attacks.This innovative Intrusion Detection System (IDS) leverages the power of machine learning algorithms to continuously monitor and analyze network traffic, behavioral patterns, and anomalies in real-time. By learning from historical data and network behaviors, the system can accurately identify deviations and malicious activities, enabling swift responses to potential intrusions.The integration of machine learning algorithms empowers the IDS to adapt to evolving threats, ensuring a proactive defense strategy and reducing the risk of false positives. As a result, network administrators can stay one step ahead of attackers and protect critical data and resources effectively.The application of this cutting-edge technology in SDN environments not only enhances security but also optimizes network performance. By swiftly detecting and mitigating threats, the IDS contributes to uninterrupted and seamless network operations, maintaining the integrity and availability of services.Furthermore, the designs scalability ensures its effectiveness across various SDN architectures and environments, making it a versatile and future-proof solution for businesses and organizations with diverse networking infrastructures.the "Design of Intrusion Detection System for Software Defined Networking Using Machine Learning Algorithms" represents a significant advancement in network security. By harnessing the capabilities of machine learning, this IDS enables intelligent, efficient, and reliable protection against potential intrusions, bolstering the trust and resilience of Software Defined Networks in the face of ever-evolving cyber threats. Details ISBN 3203253437 ISBN-13 9783203253435 Title Detection for Software Defined Networking with Machine Learning Author Muthamil Sudar Format Paperback Year 2023 Pages 154 Publisher Meem Publishers GE_Item_ID:142960467; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 30.56 USD

Location: Fairfield, Ohio

End Time: 2024-11-26T06:22:39.000Z

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