scholarly journals Securing 5G-IoT Device Connectivity and Coverage Using Boltzmann Machine Keys Generation

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Anand Singh Rajawat ◽  
Pradeep Bedi ◽  
S. B. Goyal ◽  
Piyush Kumar Shukla ◽  
Sajjad Shaukat Jamal ◽  
...  

In terms of growth, effect, and capability, the 5G-enabled Internet of Things (IoT) is incredible. The volume of data distributed and processed by IoT (Internet of Things) systems that trust connectivity and coverage raises some security problems. As IoT technology is directly used in our daily lives, the threats of present cyberspace may grow more prominent globally. Extended network life, coverage, and connectivity are all required for securing IoT-based 5G network devices. As a result of these failures, there are flaws that lead to security breaches. Because purposeful faults can quickly render the entire network dysfunctional, they are more difficult to identify than unexpected failures. Securing IoT-based 5G Network Device Connectivity and Coverage for expending Encryption and Authentication Scheme (EAS) framework is proposed in this study, which uses novel security flaws. In this research, we proposed a Boltzmann machine (BMKG)-based encryption algorithm for securing 5G-enabled IoT device network environment and compared various asymmetric algorithms for key exchange.

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
S. A. Zhezhkun ◽  
◽  
L. B. Veksler ◽  
S. M. Brezitsʹkyy ◽  
B. O. Tarasyuk

This article focuses on the analysis of promising technologies for long-range traffic transmission for the implementation of the Internet of Things. The result of the review of technical features of technologies, their advantages and disadvantages is given. A comparative analysis was performed. An analysis is made that in the future heterogeneous structures based on the integration of many used radio technologies will play a crucial role in the implementation of fifth generation networks and systems. The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. Consequently, a wide variety of IoT applications have been developed and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, and standards which simplify the implementation of IoT applications. The success of these applications mainly depends on the ecosystem characteristics of the IoT framework, with the emphasis on the security mechanisms employed in it, where issues related to security and privacy are pivotal. In this paper, we survey the security of the main IoT frameworks, a total of 8 frameworks are considered. For each framework, we clarify the proposed architecture, the essentials of developing third-party smart apps, the compatible hardware, and the security features. Comparing security architectures shows that the same standards used for securing communications, whereas different methodologies followed for providing other security properties.


Author(s):  
Anthony D. Bolton ◽  
Leila Goosen ◽  
Elmarie Kritzinger

The purpose of the study was addressing the challenge of integrating and managing complex technology-oriented advancements regarding the developing Internet of Things and in the daily lives of people. The research question was: How does digital transformation implemented through Unified Communication and Collaboration (UC&C) technologies impact productivity and innovation within a global automotive organization? A framework for the implementation of UC&C was developed and implemented in one of the world's largest automotive organizations. Following development and implementation of the framework, qualitative and quantitative research were conducted, establishing observational and metric driven data support analysis. A critical realist interpretation of the authoritative research results suggested that digitally transformed UC&C technologies enhance employees' work practices. The study concluded that transformation delivered via a digital framework such as UC&C technologies can impact productivity and create opportunities for driving innovation within a global automotive organization.


The concept of internet of things, or IoT as it is popularly referred to, came into being when it was discovered that it is possible for computers to communicate with devices ranging from simple home appliances to industrial machinery and equipment without the need for any human intervention. The fact that IoT makes it possible for computers to simplify manufacturing processes and bring about a radical change in our daily lives, making this technology an important step forward and in tandem with cloud computing. In this chapter, the authors discuss the contributions that IoT can make in construction industry. With IoT it is possible for a machine to let a remote computer know from any part of the world its current status and physical disposition. For construction firms that need to operate machinery and equipment in distant locations, IoT makes it possible to collect monitor and manage in real-time.


Author(s):  
Anthony Bolton ◽  
Leila Goosen ◽  
Elmarie Kritzinger

The purpose of this chapter is to address challenges related to the integration and implementation of the developing internet of things (IoT) into the daily lives of people. Demands for communication between devices, sensors, and systems are reciprocally driving increased demands for people to communicate and manage the growing digital ecosystem of the IoT and an unprecedented volume of data. A larger study was established to explore how digital transformation through unified communication and collaboration (UC&C) technologies impact the productivity and innovation of people in the context of one of the world's largest automotive enterprises, General Motors (GM). An analysis and exploration of this research milieu, supported by a critical realist interpretation of solutions, suggested that recommendations can be made that the integration and implementation of digital transformation, delivered via UC&C technologies, impact productivity and opportunity for driving innovation within a global automotive enterprise.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3627 ◽  
Author(s):  
Junhyeok Yun ◽  
Mihui Kim

Along with the recent growth of Internet of Things (IoT) security camera market, there have been a number of personal information leakage incidents from security attacks targeting such cameras. Therefore, a permutation-based video encryption algorithm was proposed to secure video streams in low-performance processors such as IoT security cameras. However, existing permutation-based video encryption algorithms are vulnerable to known-plaintext attacks since they use the same permutation list for every frame. Moreover, situation deduction based on the color composition is possible. In this paper, we propose a new permutation-based video encryption algorithm that updates the permutation list for every frame using a crypto secure pseudo-random number generator without significantly increasing memory usage. By doing so, the algorithm becomes robust to known-plaintext attacks, which has been a common problem with existing permutation-based video encryption algorithms. In addition, color channel separation can prevent attackers from deducing situations through color composition. Pre-compression encryption is applied to make the algorithm robust to data loss because of packet loss. We implement the proposed algorithm and conduct an experiment to show its performance in terms of probability of data loss because of packet loss, encryption speed, and memory usage.


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