Advances in Cyber Security and Intelligent Analytics

Häftad, Engelska, 2024

Av Abhishek Verma, Jitendra Kumar, Hari Mohan Gaur, Vrijendra Singh, Valentina Emilia Balas, India) Verma, Abhishek (IIITDM Jabalpur, India) Kumar, Jitendra (National Institute of Technology Tiruchirappalli, India) Gaur, Hari Mohan (ABES Institute of Technology, UP, Vrijendra (IIIT ALLAHABAD) Singh, Romania) Balas, Valentina Emilia (Aurel Vlaicu University of Arad

789 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2024-10-07
Mått156 x 234 x 17 mm
Vikt453 g
FormatHäftad
SpråkEngelska
Antal sidor292
FörlagTaylor & Francis Ltd
ISBN9781032216010

Tillhör följande kategorier

Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it
IT-säkerhet inom Data och it

1 Edge computing-enabled secure information-centric networking: Privacy challenges, benefits, and future trends KAVISH TOMAR, SARISHMA DANGI, AND SACHIN SHARMA2 Weighted attack graphs and behavioral cyber game theory for cyber risk quantification FLORIAN K. KAISER, MARCUS WIENS, AND FRANK SCHULTMANN3 NetFlow-based botnet detection in IoT edge environment using ensemble gradient boosting machine learning framework D. SANTHADEVI AND B. JANET4 Exploring the possibility of blockchain and smart contract-based digital certificate P. RAVI KUMAR, P. HERBERT RAJ, AND SHARUL TAJUDDIN5 Senso Scale: A framework to preserve privacy over cloud using sensitivity range NIHARIKA SINGH, ISHU GUPTA, AND ASHUTOSH KUMAR SINGH6 Addressing the cybersecurity issues in cloud computing SHIVANSHU OLIYHAN AND CHANDRASHEKHAR AZAD7 Role of medical image encryption algorithms in cloud platform for teleradiology applications SIJU JOHN AND S. N. KUMAR8 Machine-learning approach for detecting cyberattacks in Medical Internet of Things THULASI M. SANTHI AND M. C. HELEN MARY9 Secure IoV-enabled systems at Fog Computing: Layout, security, and optimization algorithms and open issuesANSHU DEVI, RAMESH KAIT, AND VIRENDER RANGA10 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 HAFID11 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. VENKATALAKSHMI12 Ensuring liveliness property in safety-critical systems ANKUR MAURYA, SHARAD NIGAM, AND DIVYA KUMAR13 Machine learning for intelligent analytics JYOTI POKHARIYA, PANKAJ KUMAR MISHRA, AND JYOTI KANDPAL14 Secure 3D route optimization of combat vehicles in war field using IoV ALOK NATH PANDEY, PIYUSH AGARWAL, AND SACHIN SHARMA15 Healthcare therapy for treating teenagers with internet addiction using behavioral patterns and neuro-feedback analysis B. DHANALAKSHMI, K. SELVAKUMAR, AND L. SAI RAMESH16 Containerization in cloud computing for OS-level virtualization MANOJ KUMAR PATRA, BIBHUDATTA SAHOO, AND ASHOK KUMAR TURUK17 An adaptive deep learning approach for stock price forecasting RESHMA MO, JITENDRA KUMAR, AND ABHISHEK VERMA