Security in Cloud of Things (CoT)

2016 ◽  
pp. 46-70 ◽  
Author(s):  
Bashar Alohali
Keyword(s):  
System Architecture ◽  
Security Requirements ◽  
Security Risks ◽  
Iot Applications ◽  
Research Challenges ◽  
Significant Research ◽  
Research Questions ◽  
Virtual Domain ◽  
System Architecture Design ◽  
And Storage

With IoT era, development raises several significant research questions in terms of system architecture, design and improvement. For example; the requirement of virtual resource utilization and storage capacity necessitates making IoT applications smarter; therefore, integrate the IoT concept with cloud computing will play an important role. This is crucial because of very large amounts of data that IoT is expected to generate. The Cloud of Things (CoT) is used to connect heterogeneous physical things to the virtual domain of the cloud. Despite its numerous advantages, there are many research challenges with utilization of CoT that needs additional consideration. These include high complexity, efficiency, improving reliability, and security. This chapter introduces CoT, its features, the applications that use CoT. CoT, like all other networked functions, is vulnerable to security attacks. The security risks for CoT are listed and described. The security requirements for CoT are identified and solutions are proposed to address the various attacks on CoT and its components.

Security in Cloud of Things (CoT)

2019 ◽  
pp. 1188-1212 ◽  
Author(s):  
Bashar Alohali
Keyword(s):  
System Architecture ◽  
Security Requirements ◽  
Security Risks ◽  
Iot Applications ◽  
Research Challenges ◽  
Significant Research ◽  
Research Questions ◽  
Virtual Domain ◽  
System Architecture Design ◽  
And Storage

With IoT era, development raises several significant research questions in terms of system architecture, design and improvement. For example; the requirement of virtual resource utilization and storage capacity necessitates making IoT applications smarter; therefore, integrate the IoT concept with cloud computing will play an important role. This is crucial because of very large amounts of data that IoT is expected to generate. The Cloud of Things (CoT) is used to connect heterogeneous physical things to the virtual domain of the cloud. Despite its numerous advantages, there are many research challenges with utilization of CoT that needs additional consideration. These include high complexity, efficiency, improving reliability, and security. This chapter introduces CoT, its features, the applications that use CoT. CoT, like all other networked functions, is vulnerable to security attacks. The security risks for CoT are listed and described. The security requirements for CoT are identified and solutions are proposed to address the various attacks on CoT and its components.

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

scholarly journals Fusion Cubes

2013 ◽  
Vol 9 (2) ◽  
pp. 66-88 ◽  
Author(s):  
Alberto Abelló ◽  
Jérôme Darmont ◽  
Lorena Etcheverry ◽  
Matteo Golfarelli ◽  
Jose-Norberto Mazón ◽  
...  
Keyword(s):  
Business Intelligence ◽  
Decision Process ◽  
Decision Makers ◽  
Related Research ◽  
Service Business ◽  
Short Lifespan ◽  
Research Challenges ◽  
Self Service ◽  
Core Idea ◽  
And Storage

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, and storage for reuse or sharing should be accomplished by decision makers without any intervention by designers or programmers. The goal of this paper is to present the framework we envision to support self-service business intelligence and the related research challenges; the underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.

scholarly journals Secure Data Aggregation Scheme for IOT Applications in Cloud

2020 ◽  
Vol 9 (4S2) ◽  
pp. 70-76
Keyword(s):  
Cloud Computing ◽  
Data Hiding ◽  
Data Aggregation ◽  
Dynamic Network ◽  
Security And Privacy ◽  
Iot Applications ◽  
P Gene ◽  
Private Data ◽  
Aggregation Scheme ◽  
And Storage

While Internet of Things (IoT) technology comprises of nodes that are self-configuring and intelligent which are interconnected in a dynamic network, utilization of shared resources has been revolutionized by the cloud computing effectively reducing the cost overheadamong the cloud users.The major concerns of IoT infrastructure are reliability, performance, security and privacy. Cloud computing is popular for its unlimited storage and processing power. Cloud computing is much more matured with the capability to resolve most of the issues in IoT technology. A suitable way to address most of the issues in IoT technology is by integrating IoTparadigm into the Cloud technology.In this regard, we propose a methodology of applying our EPAS scheme for IoT applications. In our previous work[2] , we have proposed an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for private data transmission and storage by utilizing Enhanced P-Gene erasable data hiding approach. Enhanced P-Gene scheme ensures secure transmission and storage of private data by relying on a data aggregation scheme fully dependent on erasable data hiding technique. In the current work we analyse the applicability of the EPAS scheme for IoT applications. Experimental results show the suitability of the proposed scheme for application involving numeric data and also demonstrates performance improvement with existing proposals for data aggregation in cloud.

scholarly journals A Method for Model-Driven Information Flow Security

2012 ◽  
pp. 199-229 ◽  
Author(s):  
Fredrik Seehusen ◽  
Ketil Stølen
Keyword(s):  
Software Development ◽  
Information Flow ◽  
System Architecture ◽  
Security Requirements ◽  
State Machines ◽  
Flow Properties ◽  
Information Flow Security ◽  
Software Developer ◽  
Model Driven ◽  
Secure Information

We present a method for software development in which information flow security is taken into consideration from start to finish. Initially, the user of the method (i.e., a software developer) specifies the system architecture and selects a set of security requirements (in the form of secure information flow properties) that the system must adhere to. The user then specifies each component of the system architecture using UML inspired state machines, and refines/transforms these (abstract) state machines into concrete state machines. It is shown that if the abstract specification adheres to the security requirements, then so does the concrete one provided that certain conditions are satisfied.

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