Mitigating Cyber Threats Through Machine Learning
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer networking and communications > Network security > Mitigating Cyber Threats Through Machine Learning
Mitigating Cyber Threats Through Machine Learning

Mitigating Cyber Threats Through Machine Learning


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

In today's digital landscape, cyber threats are becoming increasingly sophisticated, challenging traditional cybersecurity measures. Organizations face the daunting task of protecting their systems and data from cyber attacks that can result in financial loss, reputational damage, and even compromise of sensitive information. While effective to a certain extent, traditional cybersecurity approaches are often reactive and need help keeping up with the dynamic nature of modern threats. Mitigating Cyber Threats Through Machine Learning offers a comprehensive solution by exploring the integration of machine learning to fortify and enhance cybersecurity measures. It provides a solid foundation in machine learning principles relevant to cybersecurity, showcasing innovative real-world applications and addressing ethical considerations associated with its implementation. By delving into intrusion detection systems, anomaly detection, malware detection, and phishing identification, the book equips cybersecurity professionals, researchers, and students with the knowledge and tools necessary to enhance digital defenses against evolving cyber threats. This book aims to advance the field and empower readers to adopt responsible and privacy-conscious approaches by providing insights into the practical applications and challenges of integrating machine learning into cybersecurity. It benefits cybersecurity professionals seeking to enhance digital defenses and researchers and academics interested in staying abreast of the latest developments. Ultimately, Mitigating Cyber Threats Through Machine Learning is a valuable resource for understanding the intersection of machine learning and cybersecurity, offering practical solutions to address the evolving landscape of cyber threats.

About the Author :
Sita Rani is a faculty member of the Dept of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018 and has more than 20 years of teaching experience to her credit. She has completed Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023. She has also completed her Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia in August, 2023. She is an active member of ISTE, IEEE, and IAEngg and is the recipient of the ISTE Section Best Teacher Award 2020, and the International Young Scientist Award 2021. Dr. Rani has contributed to various research activities while publishing articles in renowned journals and conference proceedings. She has published three international patents and has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs along with organizing many International Conferences. Her research interest includes Parallel and Distributed Computing, Machine Learning, the Internet of Things (IoT), Healthcare, and Digital Twin.


Best Sellers


Product Details
  • ISBN-13: 9798369331170
  • Publisher: Information Science Reference
  • Publisher Imprint: Information Science Reference
  • Language: English
  • ISBN-10: 8369331173
  • Publisher Date: 05 Dec 2025
  • Binding: Digital (delivered electronically)
  • No of Pages: 310


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Mitigating Cyber Threats Through Machine Learning
Information Science Reference -
Mitigating Cyber Threats Through Machine Learning
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Mitigating Cyber Threats Through Machine Learning

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!