scholarly journals A Study on Light Weight Cryptography Algorithms for Data Security in IOT

2018 ◽  
Vol 7 (2.7) ◽  
pp. 887 ◽  
Author(s):  
M Sri Lakshmi ◽  
V Srikanth
Keyword(s):  
Data Security ◽  
Memory Management ◽  
Computational Cost ◽  
Security And Privacy ◽  
Smart Devices ◽  
Privacy Concerns ◽  
Smart Vehicles ◽  
Iot Applications ◽  
Critical Issues ◽  
Monitoring Devices

IOT - things like the smart devices and sensors that connects and communicates through Internet. IOT applications like smart home, smart vehicles, smart retail, which makes the mankind’s life easier.  There is a prediction that we will be having million of devices connects to the Internet. Since the sensitive devices like baby monitoring devices,  health monitoring devices are the part of interconnected world there is the necessity to address the consequence of the security aspects of the IOT. The built-in nature of the IOT is to trace user’s identity easily, so the security and privacy concerns like stealing the data, disruption of operations and even the loss of life are becoming critical issues in today’s IOT applications.  Due to the resource constrained environment in IOT  the conventional algorithms is not enough to ensure the data security. So we need a less computational cost in terms of power consumption and memory management and more efficient cryptography algorithms which are discussed in this paper.  

scholarly journals Privacy-Protection Scheme Based on Sanitizable Signature for Smart Mobile Medical Scenarios

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhiyan Xu ◽  
Min Luo ◽  
Neeraj Kumar ◽  
Pandi Vijayakumar ◽  
Li Li
Keyword(s):  
Data Security ◽  
Privacy Protection ◽  
Medical Data ◽  
Security And Privacy ◽  
Smart Devices ◽  
Protection Scheme ◽  
Mobile Medicine ◽  
Time Space ◽  
Medical Network ◽  
Smart Mobile

With the popularization of wireless communication and smart devices in the medical field, mobile medicine has attracted more and more attention because it can break through the limitations of time, space, and objects and provide more efficient and quality medical services. However, the characteristics of a mobile smart medical network make it more susceptible to security threats such as data integrity damage and privacy leakage than those of traditional wired networks. In recent years, many digital signature schemes have been proposed to alleviate some of these challenges. Unfortunately, traditional digital signatures cannot meet the diversity and privacy requirements of medical data applications. In response to this problem, this paper uses the unique security attributes of sanitizable signatures to carry out research on the security and privacy protection of medical data and proposes a data security and privacy protection scheme suitable for smart mobile medical scenarios. Security analysis and performance evaluation show that our new scheme effectively guarantees data security and user privacy while greatly reducing computation and communication costs, making it especially suitable for mobile smart medical application scenarios.

scholarly journals Hashing based Data Transaction and Optimized Storage for IoT Applications

2021 ◽  
Vol 12 (5) ◽  
pp. 1206-1215
Author(s):  
Monika Parmar, Et. al.
Keyword(s):  
Input Data ◽  
Security And Privacy ◽  
Huge Amount ◽  
Privacy Concerns ◽  
Iot Applications ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Wide Range ◽  
New Challenges ◽  
Distributed Analysis

Blockchain technology, which would be the underlying technology, has recently become very popular with the increase in cryptocurrencies and is being used in IoT and other fields. There have been shortfalls, however, which impede its implementation, including the volume of space. Transactions will be produced at a significant level due to the huge amount of Connected systems that often work in many networks as data processors. In IoT, the storage issue will become more intense. Current storing data platforms have a wide range of features to respond to an extensive variety spectrum of uses. Nevertheless, new groups of systems have arisen, e.g., blockchain with data version control, fork semantics, tamper-evidence or some variation thereof, and distributed analysis. They're showing new challenges for storage solutions to effectively serve such energy storage Systems by integrating the criteria mentioned in the processing. This paper discusses the potential security and privacy concerns of IoT applications and also it is shown that in first step the storage is enhanced by 50% and further in the next step, it is improved and it takes only 256 bytes irrespective of the input data size.

Protecting a new Achilles heel: the role of auditors within the practice of data protection

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matteo La Torre ◽  
Vida Lucia Botes ◽  
John Dumay ◽  
Elza Odendaal
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Data Security ◽  
Security And Privacy ◽  
Legal Responsibility ◽  
Future Research ◽  
Content Type ◽  
Privacy Concerns ◽  
Digital Ecosystem

Purpose Privacy concerns and data security are changing the risks for businesses and organisations. This indicates that the accountability of all governance participants changes. This paper aims to investigate the role of external auditors within data protection practices and how their role is evolving due to the current digital ecosystem. Design/methodology/approach By surveying the literature, the authors embrace a practice-oriented perspective to explain how data protection practices emerge, exist and occur and examine the auditors’ position within data protection. Findings Auditors need to align their tasks to the purpose of data protection practices. Accordingly, in accessing and using data, auditors are required to engage moral judgements and follow ethical principles that go beyond their legal responsibility. Simultaneously, their accountability extends to data protection ends for instilling confidence that security risks are properly managed. Due to the changing technological conditions under, which auditors operate, the traditional auditors’ task of hearing and verifying extend to new phenomena that create risks for businesses. Thus, within data protection practices, auditors have the accountability to keep interested parties informed about data security and privacy risks, continue to transmit signals to users and instill confidence in businesses. Research limitations/implications The normative level of the study is a research limitation, which calls for future empirical research on how Big Data and data protection is reshaping accounting and auditing practices. Practical implications This paper provides auditing standard setters and practitioners with insights into the redefinitions of auditing practices in the era of Big Data. Social implications Recent privacy concerns at Facebook have sent warning signals across the world about the risks posed by in Big Data systems in terms of privacy, to those charged with governance of organisations. Auditors need to understand these privacy issues to better serve their clients. Originality/value This paper contributes to triggering discussions and future research on data protection and privacy in accounting and auditing research, which is an emerging, yet unresearched topic.

Data Protection in UK Library and Information Services: Are We Ready for GDPR?

2018 ◽  
Vol 18 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Josephine Bailey
Keyword(s):  
Data Protection ◽  
Data Security ◽  
Current Data ◽  
Information Services ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
General Data Protection Regulation ◽  
General Data ◽  
Data Protection Law

AbstractAgainst a backdrop of increasing data security and privacy concerns, current data protection law will soon be overhauled by the General Data Protection Regulation (GDPR). Previous research has indicated a lack of data protection management in libraries, however, it has been nine years since the latest study. This article by Josephine Bailey aims to provide an updated review of the extent of data protection management in UK library and information services and gauge preparation for the incoming GDPR.

scholarly journals Linkage Quality Assessment for Anonymously linked Administrative Data.

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Hitesh Bhatt ◽  
Robert Jagodzinski ◽  
Allison N Scott ◽  
Leslie Twilley ◽  
Xinjie Cui
Keyword(s):  
Data Security ◽  
Security And Privacy ◽  
True Positive ◽  
Sample Sizes ◽  
Government Programs ◽  
True Negative ◽  
Privacy Concerns ◽  
Random Samples ◽  
Linkage Quality

IntroductionLinked datasets are important resources for research, but linkage errors can lead to incorrect results. For data security and privacy concerns, when linkage of personal identifiers is performed anonymously, it is difficult to assess the quality of the linked dataset. We describe the method used to perform linkage quality. Objectives and ApproachWe explored how to check the quality of linkages while preserving the privacy of individuals. We also adopted an approach that minimized time and burden on data providers involved in physical verification using randomly-generated appropriate sample sizes. To validate these linkages, data providers were given random samples of 50 unique records from both linked and unlinked individuals across two other Government programs. Data providers were asked to look at the records associated with those individuals in their original datasets. Three types of linkage results were validated: cross-program linkages, cross-program non-linkages, and within-program linkages. Proportions of false-matches and missed-matches were estimated. ResultsTwenty data providers checked their samples with two other programs which gave us a sample of 2000 individuals. The linkage process, based on anonymized personal identifiers, resulted in high true positive and high true negative rates. Agreement between human judges and the linkage software was strong. Results of this exercise and other linkage validation examinations provided confidence in the accuracy of the linkage process. With false matches occurring approximately only 3% of the time and virtually no missed-matches occurring, no adjustments were deemed necessary. Although linkage rates were reassuring, the sample sizes used for comparison were small, so it is expected that there would be significant variation associated with this 3% estimate; caution is advised in its use. Conclusion/ImplicationsProportions of false-matches and missed-matches determine linkage quality which is the base for research when linkages are performed anonymously. A low proportion of false-matches and an absence of missed-matches was an indication of robust linkages.

Big Data Security and Privacy Concerns: A Review

2019 ◽  
pp. 55-61 ◽  
Author(s):  
Akbar Khanan ◽  
Salwani Abdullah ◽  
Abdul Hakim H. M. Mohamed ◽  
Amjad Mehmood ◽  
Khairul Akram Zainol Ariffin
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy ◽  
Privacy Concerns

A Cloud-Assisted Proxy Re-Encryption Scheme for Efficient Data Sharing Across IoT Systems

2020 ◽  
Vol 15 (4) ◽  
pp. 18-36
Author(s):  
Muthukumaran V. ◽  
Ezhilmaran D.
Keyword(s):  
Data Sharing ◽  
Security Analysis ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Security Measures ◽  
Privacy Concerns ◽  
Iot Applications ◽  
Root Extraction ◽  
Efficient Data ◽  
Iot Devices

In recent years, the growth of IoT applications is rapid in nature and widespread across several domains. This tremendous growth of IoT applications leads to various security and privacy concerns. The existing security algorithms fail to provide improved security features across IoT devices due to its resource constrained nature (inability to handle a huge amount of data). In this context, the authors propose a cloud-assisted proxy re-encryption scheme for efficient data sharing across IoT systems. The proposed approach solves the root extraction problem using near-ring. This improves the security measures of the system. The security analysis of the proposed approach states that it provides improved security with lesser computational overheads.

scholarly journals Security and Privacy for Mobile IoT Applications Using Blockchain

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5931
Author(s):  
Kevin Carvalho ◽  
Jorge Granjal
Keyword(s):  
Security Requirements ◽  
Security And Privacy ◽  
Privacy By Design ◽  
Privacy And Security ◽  
Daily Lives ◽  
Smart Vehicles ◽  
Iot Applications ◽  
Application Data ◽  
Viable Approach ◽  
Edge Layer

Internet of Things (IoT) applications are becoming more integrated into our society and daily lives, although many of them can expose the user to threats against their privacy. Therefore, we find that it is crucial to address the privacy requirements of most of such applications and develop solutions that implement, as far as possible, privacy by design in order to mitigate relevant threats. While in the literature we may find innovative proposals to enhance the privacy of IoT applications, many of those only focus on the edge layer. On the other hand, privacy by design approaches are required throughout the whole system (e.g., at the cloud layer), in order to guarantee robust solutions to privacy in IoT. With this in mind, we propose an architecture that leverages the properties of blockchain, integrated with other technologies, to address security and privacy in the context of IoT applications. The main focus of our proposal is to enhance the privacy of the users and their data, using the anonymisation properties of blockchain to implement user-controlled privacy. We consider an IoT application with mobility for smart vehicles as our usage case, which allows us to implement and experimentally evaluate the proposed architecture and mechanisms as a proof of concept. In this application, data related to the user’s identity and location needs to be shared with security and privacy. Our proposal was implemented and experimentally validated in light of fundamental privacy and security requirements, as well as its performance. We found it to be a viable approach to security and privacy in IoT environments.

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