scholarly journals Data Protection Mechanisms in IoT: A Vital Challenge

2021 ◽  
Vol 10 (6) ◽  
pp. 92-103
Author(s):  
M G Padmashree* ◽  
◽  
J S Arunalatha ◽  
K R Venugopal ◽  
◽  
...  
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Real Time ◽  
Data Protection ◽  
The Internet ◽  
Distributed Network ◽  
Protection Mechanisms ◽  
The Internet Of Things

The Internet of Things (IoT) associated with life is a budding real-time environment paradigm. Smart Users can control and analyze Things through Smart gadgets connected through the network. As gazillions of devices are connected and communicated via a complex, distributed network, the number of potential threats and attacks has grown drastically against protection and privacy. Security must be provided continuously for IoT service. Exploring the issues to be improved in IoT setup includes Information Secrecy, Access Control, Authentication, Integrity, Privacy, and Trust. The paper summarizes the issues with IoT device security and the efficiency of the existing security solutions. This paper analyses the schemes to guard IoT communications and the methods adopted by the researchers while providing security of data in IoT.

Applying Security to a Big Stream Cloud Architecture for the Internet of Things

2020 ◽  
pp. 1260-1284
Author(s):  
Laura Belli ◽  
Simone Cirani ◽  
Luca Davoli ◽  
Gianluigi Ferrari ◽  
Lorenzo Melegari ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Large Data ◽  
The Internet ◽  
Low Latency ◽  
Stream Data ◽  
Memory Processing ◽  
Cloud Architecture ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is expected to interconnect billions (around 50 by 2020) of heterogeneous sensor/actuator-equipped devices denoted as “Smart Objects” (SOs), characterized by constrained resources in terms of memory, processing, and communication reliability. Several IoT applications have real-time and low-latency requirements and must rely on architectures specifically designed to manage gigantic streams of information (in terms of number of data sources and transmission data rate). We refer to “Big Stream” as the paradigm which best fits the selected IoT scenario, in contrast to the traditional “Big Data” concept, which does not consider real-time constraints. Moreover, there are many security concerns related to IoT devices and to the Cloud. In this paper, we analyze security aspects in a novel Cloud architecture for Big Stream applications, which efficiently handles Big Stream data through a Graph-based platform and delivers processed data to consumers, with low latency. The authors detail each module defined in the system architecture, describing all refinements required to make the platform able to secure large data streams. An experimentation is also conducted in order to evaluate the performance of the proposed architecture when integrating security mechanisms.

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