Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art

2020 ◽  
Author(s):  
Yehia I. Alzoubi ◽  
Valmira H. Osmanaj ◽  
Ashraf Jaradat ◽  
Ahmad Al‐Ahmad
Keyword(s):  
State Of The Art ◽  
Fog Computing ◽  
Security And Privacy ◽  
The Internet ◽  
Internet Of Thing

A State-of-the-Art Assessment of US and EU C-ITS Security Solutions

2018 ◽  
pp. 309-337
Author(s):  
Yessenia Berenice Llive ◽  
Norbert Varga ◽  
László Bokor
Keyword(s):  
Secure Communication ◽  
State Of The Art ◽  
Smart Cities ◽  
Security And Privacy ◽  
Transport Systems ◽  
Smart Devices ◽  
The Internet ◽  
Sensitive Data ◽  
Service Oriented ◽  
Art Assessment

In the near future with the innovative services and solutions being currently tested and deployed for cars, homes, offices, transport systems, smart cities, etc., the user connectivity will considerably change. It means that smart devices will be connected to the internet and produce a big impact on the internet traffic, increasing the service demand generated by devices and sensors. However most of these devices are vulnerable to attacks. Hence, the security and privacy become a crucial feature to be included in towards its appropriate deployment. Interconnected, cooperative, service-oriented devices and their related hardware/software solutions will contain sensitive data making such systems susceptible to attacks and leakage of information. Therefore, robust secure communication infrastructures must be established to aid suitable deployment. This chapter is a state-of-the-art assessment of US and EU C-ITS security solutions.

scholarly journals Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution

2016 ◽  
Vol 2016 (3) ◽  
pp. 155-171 ◽  
Author(s):  
Rebekah Overdorf ◽  
Rachel Greenstadt
Keyword(s):  
Real World ◽  
State Of The Art ◽  
Security And Privacy ◽  
Authorship Attribution ◽  
The Internet ◽  
Privacy Concern ◽  
Writing Style ◽  
Improve Performance ◽  
Cross Domain ◽  
The Cross

AbstractStylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. This paper focuses on the cross-domain subproblem where the known and suspect documents differ in the setting in which they were created. Three distinct domains, Twitter feeds, blog entries, and Reddit comments, are explored in this work. We determine that state-of-the-art methods in stylometry do not perform as well in cross-domain situations (34.3% accuracy) as they do in in-domain situations (83.5% accuracy) and propose methods that improve performance in the cross-domain setting with both feature and classification level techniques which can increase accuracy to up to 70%. In addition to testing these approaches on a large real world dataset, we also examine real world adversarial cases where an author is actively attempting to hide their identity. Being able to identify authors across domains facilitates linking identities across the Internet making this a key security and privacy concern; users can take other measures to ensure their anonymity, but due to their unique writing style, they may not be as anonymous as they believe.

scholarly journals State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions

2021 ◽  
Vol 13 (16) ◽  
pp. 9463
Author(s):  
Ritika Raj Krishna ◽  
Aanchal Priyadarshini ◽  
Amitkumar V. Jha ◽  
Bhargav Appasani ◽  
Avireni Srinivasulu ◽  
...  
Keyword(s):  
State Of The Art ◽  
Personal Information ◽  
Fog Computing ◽  
Vital Role ◽  
The Internet ◽  
Resource Limitations ◽  
Three Layer Architecture ◽  
Research Problems ◽  
Iot Devices ◽  
The Impact

The Internet of Things (IoT) plays a vital role in interconnecting physical and virtual objects that are embedded with sensors, software, and other technologies intending to connect and exchange data with devices and systems around the globe over the Internet. With a multitude of features to offer, IoT is a boon to mankind, but just as two sides of a coin, the technology, with its lack of securing information, may result in a big bane. It is estimated that by the year 2030, there will be nearly 25.44 billion IoT devices connected worldwide. Due to the unprecedented growth, IoT is endangered by numerous attacks, impairments, and misuses due to challenges such as resource limitations, heterogeneity, lack of standardization, architecture, etc. It is known that almost 98% of IoT traffic is not encrypted, exposing confidential and personal information on the network. To implement such a technology in the near future, a comprehensive implementation of security, privacy, authentication, and recovery is required. Therefore, in this paper, the comprehensive taxonomy of security and threats within the IoT paradigm is discussed. We also provide insightful findings, presumptions, and outcomes of the challenges to assist IoT developers to address risks and security flaws for better protection. A five-layer and a seven-layer IoT architecture are presented in addition to the existing three-layer architecture. The communication standards and the protocols, along with the threats and attacks corresponding to these three architectures, are discussed. In addition, the impact of different threats and attacks along with their detection, mitigation, and prevention are comprehensively presented. The state-of-the-art solutions to enhance security features in IoT devices are proposed based on Blockchain (BC) technology, Fog Computing (FC), Edge Computing (EC), and Machine Learning (ML), along with some open research problems.

scholarly journals A Comprehensive Survey on Security and Privacy for Electronic Health Data

2021 ◽  
Vol 18 (18) ◽  
pp. 9668
Author(s):  
Se-Ra Oh ◽  
Young-Duk Seo ◽  
Euijong Lee ◽  
Young-Gab Kim
Keyword(s):  
Health Systems ◽  
State Of The Art ◽  
Fog Computing ◽  
Health Data ◽  
Security And Privacy ◽  
Health Security ◽  
Comprehensive Survey ◽  
Security Concerns ◽  
Edge And Fog Computing ◽  
Privacy Issues

Recently, the integration of state-of-the-art technologies, such as modern sensors, networks, and cloud computing, has revolutionized the conventional healthcare system. However, security concerns have increasingly been emerging due to the integration of technologies. Therefore, the security and privacy issues associated with e-health data must be properly explored. In this paper, to investigate the security and privacy of e-health systems, we identified major components of the modern e-health systems (i.e., e-health data, medical devices, medical networks and edge/fog/cloud). Then, we reviewed recent security and privacy studies that focus on each component of the e-health systems. Based on the review, we obtained research taxonomy, security concerns, requirements, solutions, research trends, and open challenges for the components with strengths and weaknesses of the analyzed studies. In particular, edge and fog computing studies for e-health security and privacy were reviewed since the studies had mostly not been analyzed in other survey papers.

scholarly journals Fog Computing for Realizing Smart Neighborhoods in Smart Grids

Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 76
Author(s):  
Rituka Jaiswal ◽  
Reggie Davidrajuh ◽  
Chunming Rong
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Fog Computing ◽  
Cost Effective ◽  
Security And Privacy ◽  
The Internet ◽  
Extensive Literature ◽  
Literature Study ◽  
Computing Services ◽  
Iot Devices

Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet of Things (IoT) devices and the volume, variety, veracity and velocity of the data generated by these devices. There is a need for ultra-low latency, reliable service along with security and privacy. Fog Computing is a promising solution to overcome these challenges. The originality, scope and novelty of this paper is the definition and formulation of the problem of smart neighborhoods in context of smart grids. This is achieved through an extensive literature study, firstly on Fog Computing and its foundation technologies, its applications and the literature review of Fog Computing research in various application domains. Thereafter, we introduce smart grid and community MicroGrid concepts and, their challenges to give the in depth background of the problem and hence, formalize the problem. The smart grid, which ensures reliable, secure, and cost-effective power supply to the smart neighborhoods, effectively needs Fog Computing architecture to achieve its purpose. This paper also identifies, without rigorous analysis, potential solutions to address the problem of smart neighborhoods. The challenges in the integration of Fog Computing and smart grids are also discussed.

scholarly journals Software Architecture for Mobile Cloud Computing Systems

2019 ◽  
Vol 11 (11) ◽  
pp. 238
Author(s):  
Alreshidi ◽  
Ahmad ◽  
B. Altamimi ◽  
Sultan ◽  
Mehmood
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Software Architecture ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
State Of The Art ◽  
Fog Computing ◽  
Security And Privacy ◽  
Mobile Cloud ◽  
Systematic Mapping Study

Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by cloud computing servers. Software architecture helps to abstract the complexities of system design, development, and evolution phases to implement MCC systems effectively and efficiently. This paper aims to identify, taxonomically classify, and systematically map the state of the art on architecting MCC-based software. We have used an evidence-based software engineering (EBSE) approach to conduct a systematic mapping study (SMS) based on 121 qualitatively selected research studies published from 2006 to 2019. The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data. The emerging research focuses on the existing and futuristic challenges that relate to MCC-based internet of things (IoTs), mobile-cloud edge systems, along with green and energy-efficient computing. The results of the SMS facilitate knowledge transfer that could benefit researchers and practitioners to understand the role of software architecture to develop the next generation of mobile-cloud systems to support internet-driven computing.

Fog Computing for the Internet of Things: Security and Privacy Issues

2017 ◽  
Vol 21 (2) ◽  
pp. 34-42 ◽  
Author(s):  
Arwa Alrawais ◽  
Abdulrahman Alhothaily ◽  
Chunqiang Hu ◽  
Xiuzhen Cheng
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Issues ◽  
The Internet Of Things

scholarly journals Fog Computing, Applications, Security and Challenges, Review

2018 ◽  
Vol 7 (3) ◽  
pp. 1615 ◽  
Author(s):  
Gohar Rahman ◽  
Chuah Chai Wen
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Traffic Control ◽  
Fog Computing ◽  
Daily Basis ◽  
Security And Privacy ◽  
The Internet ◽  
Location Awareness ◽  
Security Challenges ◽  
The Internet Of Things

The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented.

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