Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

379

      375  381

      376  382

      377  383

      378  384

      379  385

      380  386

      381  387

      382  388

      383  389

      384  390

      385  391

      386  392

      387  393

      388  394

      389  395

      390  396

      391  397

      392  398

      393  399

      394  400

      395  401

      396  402

      397  403

      398  404

      399  405

      400  406

      401  407

      402  408

      403  409

      404  410

      405  411

      406  412

      407  413

      408  414

      409  415

      410  417

      411  418

      412  419

      413 420

      414  421

      415  422

      416  423

      417  424

      418  425

      419  426

      420  427

      421 428

      422  429

      423 430

      424  431

      425 432

      426 433

      427 434

      428 435

      429  436

      430  437

      431  438

      432  439

      433 440

      434 441

      435 442

      436 443

      437  444

      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Advances in Learning Analytics for Intelligent Cloud-IoT Systems

       Series Editor: Dr. Souvik Pal and Dr. Dac-Nhuong Le

      The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of cloud-IoT systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision-making algorithms in IoT devices. IoT-based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of analytics reasoning and sense-making in big data, which is centered in the cloud and IoT-enabled environments. The series publishes volumes that are empirical studies, theoretical and numerical analysis, and novel research findings.

       Submission to the series:

      Please send proposals to Dr. Souvik Pal, Department of Computer Science and Engineering, Global Institute of Management and Technology, Krishna Nagar, West Bengal, India.

      E-mail: [email protected]

       Publishers at Scrivener

      Martin Scrivener ([email protected])

      Phillip Carmical ([email protected])

      Machine Learning Techniques and Analytics for Cloud Security

      Edited by

       Rajdeep Chakraborty

       Anupam Ghosh

       and

       Jyotsna Kumar Mandal

      This edition first published 2022 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

      © 2022 Scrivener Publishing LLC

      For more information about Scrivener publications please visit www.scrivenerpublishing.com.

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

       Wiley Global Headquarters

      111 River Street, Hoboken, NJ 07030, USA

      For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

       Limit of Liability/Disclaimer of Warranty

      While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically