scholarly journals Challenges and Issues in Cloud Security for WBAN applications - A Systematic Survey

2020 ◽  
pp. 34-47
Author(s):  
Gomathy B ◽  
Ramesh SM ◽  
Shanmugavadivel G
Keyword(s):  
Cloud Security ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Security Model ◽  
Cloud Environment ◽  
Body Area ◽  
Evaluation Strategies ◽  
Security Challenges ◽  
Privacy Issues ◽  
Comprehensive Study

A systematic and comprehensive review of privacy preserving and security challenges in cloud environment is presented in this literature. Since, cloud supports various applications, it requires immediate attention for serious security and privacy issues. Research must focus on efficient security mechanism for cloud-based networks, also it is essential to explore the techniques to maintain the integrity and confidentiality of the data. This paper highlights research challenges and directions concerning the security as a comprehensive study through intensive analysis of various literatures in the last decade, and it is summarized in terms of architecture types, evaluation strategies and security model. We surveyed, investigated and reviewed the articles in every aspect related to security and privacy preserving concepts and identified the following tasks: 1) architecture of wireless body area networks in cloud, 2) security and privacy in cloud based WBAN, 3), Cloud security and privacy issues in cloud 4) diverse authentication and cryptographic approaches, 4) optimization strategies to improve the security performance.

Review on Cloud Computing and Cloud Security Issues

2021 ◽  
Author(s):  
Ramla Humayun
Keyword(s):  
Cloud Computing ◽  
Cloud Security ◽  
Security And Privacy ◽  
Security Issues ◽  
Privacy Issues

Review on Cloud-Computing and the security and privacy issues related with it.

Achieving Cloud Security Using a Third Party Auditor and Preserving Privacy for Shared Data Over a Public Cloud

2021 ◽  
pp. 1371-1391
Author(s):  
Vitthal Sadashiv Gutte ◽  
Sita Devulapalli
Keyword(s):  
Cloud Security ◽  
Third Party ◽  
Security Model ◽  
Cloud Environment ◽  
Public Cloud ◽  
Shared Data ◽  
Metadata File ◽  
Efficient Mechanisms ◽  
Different Levels ◽  
Access Security

Correctness of data and efficient mechanisms for data security, while transferring the file to and from Cloud, are of paramount importance in today's cloud-centric processing. A mechanism for correctness and efficient transfer of data is proposed in this article. While processing users request data, a set of attributes are defined and checked. States with attributes at different levels are defined to prevent unauthorized access. Security is provided while storing the data using a chunk generation algorithm and verification of chunks using lightweight Third-Party Auditor (TPA). TPA uses digital signatures to verify user's data that are generated by RSA with MD5 algorithms. The metadata file of generated chunks is encrypted using a modified AES algorithm. The proposed method prevents unauthorized users from accessing the data in the cloud environment, in addition to maintaining data integrity. Results of the proposed cloud security model implementation are discussed.

scholarly journals Emphasis on Cloud Optimization and Security Gaps: A Literature Review

2017 ◽  
Vol 17 (3) ◽  
pp. 165-185 ◽  
Author(s):  
P. Sanyasi Naidu ◽  
Babita Bhagat
Keyword(s):  
Cloud Computing ◽  
Optimization Problems ◽  
Cloud Security ◽  
Cloud Environment ◽  
New Paradigm ◽  
Swarm Optimization ◽  
Security Challenges ◽  
Heuristic Study ◽  
Service Oriented ◽  
Research Outcome

Abstract Cloud computing is emerging as a significant new paradigm in the fields of Service-oriented computing, software engineering, etc. The paper aims to characterize the cloud environment and to study the cloud optimization problems. About 50 papers are collected from the standard journals, and it is first reviewed chronologically to find out the contributions in cloud security. After reviewing, the various challenges addressed in the cloud environment and its performance analysis is discussed. In the next section, the exploration of the meta-heuristic study of cloud optimization is done. The algorithms used in the cloud security challenges are discussed and reviewed. The algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) are exploited for the finding the cloud security problems. As the research outcome, case studies are taken and reviewed. Cloud computing is a vast field, and a lot of problems in it had to be addressed and solved.

scholarly journals A Review on Security and Privacy Issues in Wireless Body Area Networks for Healthcare Applications

2019 ◽  
Vol 5 (11) ◽  
pp. 22-28
Author(s):  
Vineeta Shrivastava ◽  
Mayank Namdev
Keyword(s):  
Wearable Sensors ◽  
Wireless Body Area Network ◽  
Security And Privacy ◽  
Area Network ◽  
Security Measures ◽  
Body Area ◽  
Healthcare Applications ◽  
Communication Architecture ◽  
High Level ◽  
Privacy Issues

Wireless Body Area Network (WBAN) is a new trend in the technology that provides remote mechanism to monitor and collect patient’s health record data using wearable sensors. It is widely recognized that a high level of system security and privacy play a key role in protecting these data when being used by the healthcare professionals and during storage to ensure that patient’s records are kept safe from intruder’s danger. It is therefore of great interest to discuss security and privacy issues in WBANs. In this paper, we reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications. This paper also covers the state-of-art security measures and research in WBAN.

scholarly journals Recent Technologies, Security Countermeasure and Ongoing Challenges of Industrial Internet of Things (IIoT): A Survey

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6647
Author(s):  
Soo Fun Tan ◽  
Azman Samsudin
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
Security Architecture ◽  
Industrial Internet Of Things ◽  
Security Issues ◽  
Industrial Internet ◽  
Security Challenges ◽  
Comprehensive Survey ◽  
Privacy Issues

The inherent complexities of Industrial Internet of Things (IIoT) architecture make its security and privacy issues becoming critically challenging. Numerous surveys have been published to review IoT security issues and challenges. The studies gave a general overview of IIoT security threats or a detailed analysis that explicitly focuses on specific technologies. However, recent studies fail to analyze the gap between security requirements of these technologies and their deployed countermeasure in the industry recently. Whether recent industry countermeasure is still adequate to address the security challenges of IIoT environment are questionable. This article presents a comprehensive survey of IIoT security and provides insight into today’s industry countermeasure, current research proposals and ongoing challenges. We classify IIoT technologies into the four-layer security architecture, examine the deployed countermeasure based on CIA+ security requirements, report the deficiencies of today’s countermeasure, and highlight the remaining open issues and challenges. As no single solution can fix the entire IIoT ecosystem, IIoT security architecture with a higher abstraction level using the bottom-up approach is needed. Moving towards a data-centric approach that assures data protection whenever and wherever it goes could potentially solve the challenges of industry deployment.

A Comprehensive Review of the Security and Privacy Issues in Blockchain Technologies

2022 ◽  
pp. 180-199
Author(s):  
Mangesh Manikrao Ghonge ◽  
N. Pradeep ◽  
Renjith V. Ravi ◽  
Ramchandra Mangrulkar
Keyword(s):  
Economic Models ◽  
New Age ◽  
Security And Privacy ◽  
Smart Contracts ◽  
Comprehensive Review ◽  
Blockchain Technology ◽  
Application Potential ◽  
The Impact ◽  
Privacy Issues ◽  
Comprehensive Study

The development of blockchain technology relies on a variety of disciplines, including cryptography, mathematics, algorithms, and economic models. All cryptocurrency transactions are recorded on a digital and decentralized public ledger known as the blockchain. Customers may keep track of their crypto-transactions by looking at a chronological list rather than a centralized ledger. The blockchain's application potential is bright, and it has already produced results. In various fields, blockchain technology has been incorporated and deployed, from the earliest days of cryptocurrencies to the present day with new-age smart contracts. No comprehensive study on blockchain security and privacy has yet been done despite numerous studies in this area over the years. In this chapter, the authors talked about blockchain's security and privacy issues as well as the impact they've had on various trends and applications. This chapter covers both of these topics.

Big Data Security

2015 ◽  
pp. 301-313 ◽  
Author(s):  
Fatima-Zahra Benjelloun ◽  
Ayoub Ait Lahcen
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Economic Sectors ◽  
Data Intensive ◽  
New Information ◽  
Maximum Benefit ◽  
Security Challenges ◽  
Data Context ◽  
Privacy Issues

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

Cloud Security Threats and Techniques to Strengthen Cloud Computing Adoption Framework

2016 ◽  
Vol 11 (3) ◽  
pp. 50-64 ◽  
Author(s):  
Nabeel Khan ◽  
Adil Al-Yasiri
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Cloud Security ◽  
Security And Privacy ◽  
Security Threats ◽  
It Infrastructure ◽  
Security Issues ◽  
Cloud Computing Adoption ◽  
Security Challenges ◽  
Mitigation Techniques

Cloud Computing allows firms to outsource their entire information technology (IT) process, allowing them to concentrate more on their core business to enhance their productivity and innovation in offering services to customers. It allows businesses to cut down heavy cost incurred over IT infrastructure without losing focus on customer needs. However, to a certain limit adopting Cloud computing has struggled to grow among many established and growing organizations due to several security and privacy related issues. Throughout the course of this study several interviews were conducted, with cloud developers and security experts, and the literature was reviewed. This study enabled us to understand, current and future, security and privacy challenges with cloud computing by providing suitable solutions to identified challenges. The outcome of this study led to identification of total 18, current and future, security issues affecting several attributes of cloud computing. In this process of identification, the author also found mitigation techniques to avert these security issues. A security guide is formulated which enables organizations to be aware of security challenges, vulnerabilities and techniques to evade them.

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