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E-grāmata: Advances in Cyber Security and Intelligent Analytics

Edited by (IIITDM Jabalpur, India), Edited by (IIIT ALLAHABAD), Edited by (ABES Institute of Technology, UP, India), Edited by (National Institute of Technology Tiruchirappalli, India), Edited by (Aurel Vlaicu University of Arad, Romania)
  • Formāts: 312 pages
  • Izdošanas datums: 21-Dec-2022
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000821390
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Advances in Cyber Security and Intelligent AnalyticsPalielināt
  • Formāts: 312 pages
  • Izdošanas datums: 21-Dec-2022
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000821390
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The book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. It presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.



We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models—IoT, SDN, and ICN—to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.

    1 Edge computing-enabled secure information-centric networking: Privacy challenges, benefits, and future trends

    KAVISH TOMAR, SARISHMA DANGI, AND SACHIN SHARMA

    2 Weighted attack graphs and behavioral cyber game theory for cyber risk quantification

    FLORIAN K. KAISER, MARCUS WIENS, AND FRANK SCHULTMANN

    3 NetFlow-based botnet detection in IoT edge environment using ensemble gradient boosting machine learning framework

    D. SANTHADEVI AND B. JANET

    4 Exploring the possibility of blockchain and smart contract-based digital certificate

    P. RAVI KUMAR, P. HERBERT RAJ, AND SHARUL TAJUDDIN

    5 Senso Scale: A framework to preserve privacy over cloud using sensitivity range

    NIHARIKA SINGH, ISHU GUPTA, AND ASHUTOSH KUMAR SINGH

    6 Addressing the cybersecurity issues in cloud computing

    SHIVANSHU OLIYHAN AND CHANDRASHEKHAR AZAD

    7 Role of medical image encryption algorithms in cloud platform for teleradiology applications

    SIJU JOHN AND S. N. KUMAR

    8 Machine-learning approach for detecting cyberattacks in Medical Internet of Things

    THULASI M. SANTHI AND M. C. HELEN MARY

    9 Secure IoV-enabled systems at Fog Computing: Layout, security, and optimization algorithms and open issues

    ANSHU DEVI, RAMESH KAIT, AND VIRENDER RANGA

    10 A capability maturity model and value judgment systems for a distributed network of ethical and context aware digital twin agents

    MEZZOUR GHITA, BENHADOU SIHAM, MEDROMI HICHAM, AND GRIGUER HAFID

    11 A detailed cram on artificial intelligence industrial systems 4.0

    P. DHARANYADEVI, R. SRI SAIPRIYA, T. C. ADITYAA, B. SENTHILNAYAKI, M. JULIE THERESE, A. DEVI, AND K. VENKATALAKSHMI

    12 Ensuring liveliness property in safety-critical systems

    ANKUR MAURYA, SHARAD NIGAM, AND DIVYA KUMAR

    13 Machine learning for intelligent analytics

    JYOTI POKHARIYA, PANKAJ KUMAR MISHRA, AND JYOTI KANDPAL

    14 Secure 3D route optimization of combat vehicles in war field using IoV

    ALOK NATH PANDEY, PIYUSH AGARWAL, AND SACHIN SHARMA

    15 Healthcare therapy for treating teenagers with internet addiction using behavioral patterns and neuro-feedback analysis

    B. DHANALAKSHMI, K. SELVAKUMAR, AND L. SAI RAMESH

    16 Containerization in cloud computing for OS-level virtualization

    MANOJ KUMAR PATRA, BIBHUDATTA SAHOO, AND ASHOK KUMAR TURUK

    17 An adaptive deep learning approach for stock price forecasting

    RESHMA MO, JITENDRA KUMAR, AND ABHISHEK VERMA

    Abhishek Verma, Vrijendra Singh
    Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
    Permanent link: https://www.kriso.lv/db/97810008213902e.html
    Keywords: