scholarly journals Secure and Sustainable Predictive Framework for IoT-Based Multimedia Services Using Machine Learning

2021 ◽  
Vol 13 (23) ◽  
pp. 13128
Author(s):  
Naveed Islam ◽  
Majid Altamimi ◽  
Khalid Haseeb ◽  
Mohammad Siraj
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Data Transmission ◽  
Computation Time ◽  
Vital Role ◽  
Multimedia Data ◽  
Production Costs ◽  
Network Simulator ◽  
Secure Data Transmission ◽  
Data Content

In modern years, the Internet of Things (IoT) has gained tremendous growth and development in various sectors because of its scalability, self-configuring, and heterogeneous factors. It performs a vital role in improving multimedia communication and reducing production costs. The multimedia data consist of various types and formats (text, audio, videos, etc.), which are forwarded in the form of blocks of bits in the network layer of TCP/IP. Due to limited resources available to IoT-built devices, most of the Multimedia Internet of Things (MIoT)-based applications are delay constraints, especially for big data content. Similarly, multimedia-based applications are more vulnerable to security burdens and lower the trust of data processing. In this paper, we present a secure and sustainable prediction framework for MIoT data transmission using machine learning, which aims to offer intelligent behavior of the system with information protection. Firstly, the network edges exploit a regression analysis for a real-time multimedia routing scheme and achieve precise delivery towards the media servers. Secondly, an efficient and low-processing asymmetric process is proposed to provide secure data transmission between the IoT devices, edges, and data servers. Extensive experiments are performed over the OMNET++ network simulator, and its significance is achieved by an average for energy consumption by 71%, throughput by 30.5%, latency by 22%, bandwidth by 34.5%, packets overheads by 38.5%, computation time by 12.5%, and packet drop ratio by 35% in the comparison of existing schemes.

A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks

2014 ◽  
Vol 511-512 ◽  
pp. 120-125
Author(s):  
Qian Ye ◽  
Meng Wu ◽  
Yu Fei Wang
Keyword(s):  
Sensor Networks ◽  
Information Security ◽  
Data Transmission ◽  
Wireless Multimedia Sensor Networks ◽  
Multimedia Data ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Secure Data Transmission ◽  
The Status ◽  
Open Issues

QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.

scholarly journals Efficient and Secure Data Transmission Approach in Cloud-MANET-IoT Integrated Framework

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Data Transmission ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
The Internet ◽  
Security Issue ◽  
Integrated Framework ◽  
Secure Data Transmission ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) devices have the capabilities to interact and communicate in 5G heterogeneous networks. They also have the capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure is to store as well as interpret information through IoT nodes. The communication security has been introduced as one of the techniques to solve the data transmission security issue that could result in increased performance in cloud consumption and ubiquity. The purpose of this research is to establish a communication system among IoT nodes in an embedded Cloud and MANET structure. Aiming to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework, this approach has been implemented and tested.

Design and Implementation of a Network Security Chip with Improved Compression Approach

2020 ◽  
Vol 13 (4) ◽  
pp. 507-515
Author(s):  
Abdul Rajak ◽  
Vilas H. Gaidhane ◽  
Aaron D’costa
Keyword(s):  
Network Security ◽  
Compression Ratio ◽  
Data Transmission ◽  
Vital Role ◽  
New Approach ◽  
Design And Implementation ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Secured Data ◽  
Good Compression

Background: Network security is used to secure data transmission over the wireless network. Encryption of information plays a vital role in communication since it protects the sender and receiver from the hackers trying to access the information. Objectives: In recent years, protecting the information data has become a challenging task for the researchers. Hence, there is a need to improve the existing methods of secure data transmission. Method: In this paper, a new approach is proposed to implement a better security chip for secured data transmission. It is based on the combination of encryption and description as well as the compression techniques. The proposed design focuses on the reduction of delay in the circuit using the compression approach. Results: The various simulations are carried out using the Xilinx, and MATLAB software. The timing signals are observed on Xilinx and the proposed algorithm has been simulated and tested on MATLAB. Conclusion: The presented approach performed better and achieved a good compression ratio and hence the loss of information was less at the receiving end.

scholarly journals Comparative Study and Design Light Weight Data Security System for Secure Data Transmission in Internet of Things

2021 ◽  
Vol 9 (3) ◽  
pp. 28-32
Author(s):  
Abha Jadaun ◽  
Satish Kumar Alaria ◽  
Yashika Saini
Keyword(s):  
Internet Of Things ◽  
Data Hiding ◽  
Data Transmission ◽  
Reversible Data Hiding ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Symmetric Key ◽  
Symmetric Key Cryptography ◽  
Secured Data ◽  
Social Importance

Internet of things is shortened as IoT. Today IoT is a key and abrogating subject of the specialized and social importance. Results of buyers, things and vehicles, industry based and fundamental segments, sensors, and other everyday items are converged with network of internet and the solid information abilities which guarantee to change the sort in which we work and live. The proposed work demonstrates the implementation of symmetric key lightweight algorithm for secured data transmission of images and text using image encryption system as well as reversible data hiding system. In this paper, implemented symmetric key cryptography for various formats of images, as well as real time image acquisition system has been designed in the form of graphical user interface. Reversible data hiding system has also been designed for secure data transmission system.

scholarly journals A Framework for the Image Retrieval System Based on Histogram Normalization Technique with Python

2020 ◽  
Vol 9 (4) ◽  
pp. 2300-2304
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Digital Images ◽  
Image Representation ◽  
Learning Model ◽  
Multimedia Data ◽  
Multimedia Content ◽  
Machine Learning Model ◽  
Image Retrieval System ◽  
Data Content

The processing of multimedia content is used for real-world computer vision in various applications, and digital images make up a large part of multimedia data. The processing of multimedia content is used for real-computer vision in various applications, and digital images make up a large part of multimedia data. Content-based Retrieval of photographs (CBIR) is a system of picture recovery which utilizes the visual highlights of a picture, for example, shading, shape and surface so as to look through the client based inquiry pictures from the huge databases. CBIR relies upon highlight extraction of a picture which are the visual highlights and these highlights are extricated naturally i.e. without human collaboration. We intend in this paper to provide a detailed overview of recent developments related to CBIR and image representation. We researched the main aspects of various models of image recovery and image representation from low-level feature extraction to recent semantict ML approaches. And, for extraction of features, HSV, image segmentation and color histogram techniques are used, which effectively gives us the main point in an image that these techniques are used to minimize complexity, expense, and energy and time consumption. Then a machine learning model is trained for similarity test and the validation and texting phases are performed accordingly which leads to better performance as. Then a machine learning model is trained for similarity testing and then the validation and texting steps are performed accordingly, resulting in improved results compared to previously performed techniques. The precision values in the proposed technique are fairly excellent.

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