Android Malware Detection Using Machine Learning - Bookswagon
Home > Computer & Internet > Computer programming / software development > Pda / handheld programming > Android Malware Detection Using Machine Learning
Android Malware Detection Using Machine Learning

Android Malware Detection Using Machine Learning


     0     
5
4
3
2
1



International Edition


About the Book

Introduction.- Background and Related Work.- Fingerprinting Android Malware Packages.- Robust Android Malicious Community Fingerprinting.- Android Malware Fingerprinting Using Dynamic Analysis.- Fingerprinting Cyber-Infrastructures of Android Malware.- Portable Supervised Malware Fingerprinting using Deep Learning.- Resilient and Adaptive Android Malware Fingerprinting and Detection.- Conclusion.
About the Author: Dr. ElMouatez Billah Karbab is a researcher at Concordia University, Montreal, Canada. His research focuses on applied machine learning techniques on malware fingerprinting and mobile & IoT security. He is a research scientist at the National Cyber Forensic and Training Alliance (NCFTA) of Canada, an international organization which focuses on the investigation of cyber-crimes. He is also serving as a data scientist and cyber-security specialist at NCFTA Canada. He served as an associate researcher at Research Centre for Scientific and Technical Information (CERIST), Algeria, where he worked on international projects in collaboration with the university of Cape Town, South Africa, and Heudiasyc Lab, France. ElMouatez has published many peer-reviewed research articles in international journals and conferences on malware fingerprinting using machine learning techniques, cyber security, and embedded systems.
Mourad Debbabi is Professor at the Concordia Institute for Information Systems Engineering and Interim Dean of the Gina Cody School of Engineering and Computer Science. He holds the NSERC/Hydro-Quebec Thales Senior Industrial Research Chair in Smart Grid Security. He is a member of the Cybersecurity Advisory Board to the Minister of Digital Transformation, and a member of the Advisory Board of the Cybercrime Council. He serves/served on the boards of Canadian Police College, PROMPT Québec and Calcul Québec. He is the founder and Director of the Security Research Centre at Concordia University. Dr. Debbabi holds Ph.D. and M.Sc. degrees in computer science from Université Paris-XI Orsay, France, and an Engineering degree from Université de Constantine. He has published 6 books and more than 300 peer-reviewed research articles in international journals and conferences on cyber security, cyber forensics, smart grids, privacy, cryptographic protocols, threat intelligence generation, malware analysis, reverse engineering, specification and verification of safety-critical systems, programming languages and type theory. He has supervised to successful completion 33 Ph.D. students, 76 Master students and 14 Postdoctoral Fellows. He served as a Senior Scientist at the Panasonic Information and Network Technologies Laboratory, Princeton, New Jersey, USA; Associate Professor at the Computer Science Department of Laval University, Canada; Senior Scientist at General Electric Research Center, New York, USA; Research Associate at the Computer Science Department of Stanford University, California, USA; and Permanent Researcher at the Bull Corporate Research Center, Paris, France.
Dr. Abdelouahid Derhab received the Engineer's, MSc, and PhD degrees in computer science from University of Sciences and Technology Houari Boummediene (USTHB), Algiers, in 2001, 2003, and 2007 respectively. He was a full-time researcher at CERIST research center in Algeria from 2002 to 2012. He was an Assistant Professor at King Saud University from 2012 to 2018. He is currently an Associate Professor at the Center of Excellence in Information Assurance (COEIA), King Saud University. He served as a lead guest editor of some peer-reviewed journals. He also served as workshop chair, technical committee chair, and reviewer for many journals and international conferences. He is the author of more than 100 papers in different peer-reviewed journals conferences, and book chapters. He is also a cyber security policy analyst at Global Foundation for Cyber Studies and Research (GFCYBER). His research interests are: malware analysis, network security, intrusion detection, mobile security, Internet of things, smart grid, blockchain, and cyber security policies.
Dr. Djedjiga Mouheb is an Assistant Professor at the Department of Computer Science, College of Computing and Informatics, University of Sharjah, UAE. She is a member of the University's Information and Network Security Research Group. Her research interests include social networking security, social bots, malware analysis, software fingerprinting, investigation of cyber-threat infrastructures, and software security. Before joining University of Sharjah, she was a Postdoctoral Fellow at Concordia University, Montreal, Canada. She was also a member of the National Cyber Forensics and Training Alliance (NCFTA) Canada. She holds a PhD degree in Computer Science from Concordia University, Montreal, Canada, Master's degree from École des Mines de Paris, France and Bachelors degree from Institut National d'Informatique (INI), Algeria.


Best Sellers



Product Details
  • ISBN-13: 9783030746636
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 202
  • Series Title: Advances in Information Security
  • Sub Title: Data-Driven Fingerprinting and Threat Intelligence
  • Width: 156 mm
  • ISBN-10: 3030746631
  • Publisher Date: 21 Jul 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 14 mm
  • Weight: 535 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Android Malware Detection Using Machine Learning
Springer International Publishing -
Android Malware Detection Using 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.

Android Malware Detection Using 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

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!