Security Vulnerabilities, Threats, and Attacks in IoT and Big Data

2020 ◽  
pp. 141-167
Author(s):  
Prabha Selvaraj ◽  
Sumathi Doraikannan ◽  
Vijay Kumar Burugari
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Web Interface ◽  
Security Vulnerabilities ◽  
New Techniques ◽  
Iot Security ◽  
Web Interfaces ◽  
The Web

Big data and IoT has its impact on various areas like science, health, engineering, medicine, finance, business, and mainly, the society. Due to the growth in security intelligence, there is a requirement for new techniques which need big data and big data analytics. IoT security does not alone deal with the security of the device, but it also has to care about the web interfaces, cloud services, and other devices that interact with it. There are many techniques used for addressing challenges like privacy of individuals, inference, and aggregation, which makes it possible to re-identify individuals' even though they are removed from a dataset. It is understood that a few security vulnerabilities could lead to insecure web interface. This chapter discusses the challenges in security and how big data can be used for it. It also analyzes the various attacks and threat modeling in detail. Two case studies in two different areas are also discussed.

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

Analytics-as-a-Service (AaaS)

Web Services ◽  
2019 ◽  
pp. 1262-1281
Author(s):  
Chitresh Verma ◽  
Rajiv Pandey
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Data Analytics ◽  
Data Science ◽  
Business Processes ◽  
Service Oriented Architecture ◽  
Big Data Analytics ◽  
Major Branch ◽  
Implementation Level ◽  
Industrial Level

Big Data Analytics is a major branch of data science where the huge amount raw data is processed to get insight for relevant business processes. Integration of big data, its analytics along with Service Oriented Architecture (SOA) is need of the hour, such integration shall render reusability and scalability to various business processes. This chapter explains the concept of Big Data and Big Data Analytics at its implementation level. The Chapter further describes Hadoop and its technologies which are one of the popular frameworks for Big Data Analytics and envisage integrating SOA with relevant case studies. The chapter demonstrates the SOA integration with Big Data through, two case studies of two different scenarios are incorporated that integrates real world implementation with theory and enables better understanding of the industrial level processes and practices.

Importance of Big Data and Hadoop in E-Servicing

2018 ◽  
pp. 39-52
Author(s):  
Karthiga Shankar ◽  
Suganya R.
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Opinion Mining ◽  
Big Data Analytics ◽  
Online Information ◽  
Campaign Strategies ◽  
Security Issues ◽  
Customer Group ◽  
Big Data Applications ◽  
The Web

Consumers are spending more and more time on the web to search information and receive e-services. E-commerce, e-government, e-business, e-learning, e-science, etc. reflect the growing importance of the web in all aspects of our lives. Along with the tremendous growth of online information, the use of big data has become a vital force in growing revenues. Consumers are today shopping multiple products across multiple channels online. This transformation is substantial and many of the e-commerce companies have now turned to big data analytics for focused customer group targeting using opinion mining for evaluating campaign strategies and maintaining a competitive advantage, especially during the festive shopping season. So, the role of intelligent techniques in e-servicing is massive. This chapter focuses on the importance of big data (since there is a large volume of data online) and big data analytics in the field of e-servicing and explains the various applications, platforms to implement the big data applications, and security issues in the era of big data and e-servicing.

Analytics-as-a-Service (AaaS)

2017 ◽  
pp. 26-45
Author(s):  
Chitresh Verma ◽  
Rajiv Pandey
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Data Analytics ◽  
Data Science ◽  
Business Processes ◽  
Service Oriented Architecture ◽  
Big Data Analytics ◽  
Major Branch ◽  
Implementation Level ◽  
Industrial Level

Big Data Analytics is a major branch of data science where the huge amount raw data is processed to get insight for relevant business processes. Integration of big data, its analytics along with Service Oriented Architecture (SOA) is need of the hour, such integration shall render reusability and scalability to various business processes. This chapter explains the concept of Big Data and Big Data Analytics at its implementation level. The Chapter further describes Hadoop and its technologies which are one of the popular frameworks for Big Data Analytics and envisage integrating SOA with relevant case studies. The chapter demonstrates the SOA integration with Big Data through, two case studies of two different scenarios are incorporated that integrates real world implementation with theory and enables better understanding of the industrial level processes and practices.

Building Trust in E-Commerce through Web Interface

2011 ◽  
pp. 1195-1205
Author(s):  
Muneesh Kumar ◽  
Mamta Sareen
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Global Level ◽  
Web Interface ◽  
Web Interfaces ◽  
Number Of Factors ◽  
Online Trading ◽  
The Impact ◽  
Seller Relationship ◽  
The Web

The emergence of Internet has revolutionalized the way businesses are conducted. The impact of e-commerce is pervasive, both on companies and society as a whole. It has the potential to impact the pace of economic development and in turn influence the process of human development at the global level. However, the growth in e-commerce is being impaired by the issue of trust in the buyer-seller relationship which is arising due to the virtual nature of e-commerce environment. The online trading environment is constrained by a number of factors including web interface that in turn influences user experience. This article identifies various dimensions of web interface that have the potential to influence trust in e-commerce. The empirical evidence presented in the article is based on a survey of the web interfaces of 65 Indian e-Marketplaces.

Importance of Big Data and Hadoop in E-Servicing

2022 ◽  
pp. 1634-1644
Author(s):  
Karthiga Shankar ◽  
Suganya R.
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Opinion Mining ◽  
Big Data Analytics ◽  
Online Information ◽  
Campaign Strategies ◽  
Security Issues ◽  
Customer Group ◽  
Big Data Applications ◽  
The Web

Consumers are spending more and more time on the web to search information and receive e-services. E-commerce, e-government, e-business, e-learning, e-science, etc. reflect the growing importance of the web in all aspects of our lives. Along with the tremendous growth of online information, the use of big data has become a vital force in growing revenues. Consumers are today shopping multiple products across multiple channels online. This transformation is substantial and many of the e-commerce companies have now turned to big data analytics for focused customer group targeting using opinion mining for evaluating campaign strategies and maintaining a competitive advantage, especially during the festive shopping season. So, the role of intelligent techniques in e-servicing is massive. This chapter focuses on the importance of big data (since there is a large volume of data online) and big data analytics in the field of e-servicing and explains the various applications, platforms to implement the big data applications, and security issues in the era of big data and e-servicing.

scholarly journals Use of telephone and web interfaces of interactive response technology at clinical investigator sites in clinical trials

2019 ◽  
Vol 16 (3) ◽  
pp. 297-305
Author(s):  
Anna-Leena Saarela ◽  
Anja Walzer ◽  
Anne Mari Juppo
Keyword(s):  
Clinical Trials ◽  
Online Survey ◽  
Service Providers ◽  
Focal Point ◽  
Interactive Voice Response ◽  
End Users ◽  
Web Interface ◽  
Web Interfaces ◽  
Clinical Investigator ◽  
The Web

Background Interactive response technologies are used in clinical trials to provide services such as automated randomization and medication logistics management. The objective of this article is to investigate the usage of telephone (Interactive Voice Response) and web (Interactive Web Response) interfaces of interactive response technologies at clinical investigator sites in clinical trials, to obtain information about the preferences of interactive response technology end users between the telephone and web interfaces, and to explore the relevance of the telephone interface in this setting. Methods The data consist of an online survey conducted in spring 2016 with clinical investigators, study nurses, and pharmacists in 13 countries. Results Ninety-eight percent of survey respondents preferred the web interface over the telephone interface, the most important reason being superior usability. However, the respondents indicated the usability of interactive response technology interfaces is not optimal, and lack of integration and consistency across systems is common. A vast majority of interactive response technology end users at clinical sites prefer to use the web interface over the telephone interface, but most also feel there would need to be a back-up system. Conclusions Based on the results, it would be beneficial to improve the usability of the interactive response technology interfaces, and to increase consistency across systems from the current level. Support to and training of the users, as well as clarifying the responsibilities between sites and the sponsor should also be a focal point. Study sponsors should explore with interactive response technology service providers how removing the telephone interface would impact future studies, and whether there could be a more efficient means to achieve a reliable back-up to the web interface instead of a dedicated telephone interface.

IoT Based Agriculture as a Cloud and Big Data Service

2020 ◽  
pp. 1499-1521
Author(s):  
Sukhpal Singh Gill ◽  
Inderveer Chana ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Cloud Environment ◽  
Big Data Technologies ◽  
Sensor Networking ◽  
New Applications

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications' of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.

The Layered Virtual Reality Commerce System (LaVRCS)

2010 ◽  
pp. 159-177
Author(s):  
Alan Rea
Keyword(s):  
Virtual Reality ◽  
Web 2.0 ◽  
Web Interface ◽  
Internet Applications ◽  
Web 3.0 ◽  
Web Interfaces ◽  
Rich Internet Applications ◽  
Platform Presentation ◽  
User Trust ◽  
The Web

In this chapter, the author argues that virtual reality (VR) does have a place in e-commerce as a Web 2.0 application. However, VR is not ready to supplant standard e-commerce Web interfaces with a completely immersive VR environment. Rather, VRCommerce must rely on a mixed platform presentation to accommodate diverse levels of usability, technical feasibility, and user trust. The author proposes that e-commerce sites that want to implement VRCommerce offer at least three layers of interaction: a standard Web interface, embedded VR objects in a Web interface, and semi-immersive VR within an existing Web interface. This system is termed the Layered Virtual Reality Commerce System, or LaVRCS. This proposed LaVRCS framework can work in conjunction with Rich Internet Applications, Webtops, and other Web 2.0 applications to offer another avenue of interaction within the e-commerce realm. With adoption and development, LaVRCS will help propel e-commerce into the Web 3.0 realm and beyond.

A Study on the Principle of Interface Color Scheme for Visually Impaired People

2011 ◽  
Vol 230-232 ◽  
pp. 357-361
Author(s):  
Si Yu Ma ◽  
Chen Sheng Wang ◽  
Xiu Qin He
Keyword(s):  
Interface Design ◽  
Visually Impaired ◽  
Web Pages ◽  
Web Interface ◽  
Web Interfaces ◽  
Visually Impaired People ◽  
Impaired People ◽  
Web Interface Design ◽  
Color Scheme ◽  
The Web

The use of color is of great significance to the appearance and usability of web interfaces. However, visually impaired people have always been ignored in web interface design in terms of color scheme. Therefore, it is necessary to study their difficulties while browsing web pages and accessing to information. By means of enumerating the color barriers, this paper summarizes the principles of how to use color in the web interface design for visually impaired people. It is expected that the proposed principles would benefit such people who conduct web interface design while being aware of the needs of visually impaired people.

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