scholarly journals Software-Defined Networking for Unmanned Aerial Vehicular Networking and Security: A Survey

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1468 ◽  
Author(s):  
James McCoy ◽  
Danda B. Rawat

Despite the immense benefits offered by the utilization of unmanned aerial vehicles (UAVs) in civilian and military applications, significant work needs to be done to ensure that these systems are able to securely communicate and resiliently operate to accomplish the mission. As the UAVs grow with their popularity and usability for different applications, there is a dire need to ensure that UAVs and their networks are capable of mitigating cyber-attacks on the fly. One approach that has gained considerable popularity is Software-Defined Networking (SDN) based solutions. SDN is a networking paradigm that has gained attention due to its dynamic flexibility to program networks and increase network visibility, and its potential to assist in the mitigating security vulnerabilities in the network including the network of UAVs. This article provides an overview of recent advances, and current state of art related to security vulnerabilities and SDN enabled countermeasures. This paper also presents a comparison of different approaches in a tabular form and a discussion of challenges and future research directions with respect to UAV security.

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.


Author(s):  
Danish Javeed ◽  
Umar MohammedBadamasi

Computer systems and applications are improving day by day and with the advancement in such area it give birth to new cyber-attacks. Man in the Middle attacks (MITM) are one of those attacks. An attack where an outsider or third party enters in between two online users, where both of the users are unaware of it. The malware in such scenario mainly monitors and have the ability to change the information which is classified onsly to these two users. Mainly it is knows as a protocol to an unauthorized user within the system who can access as well as change the information of the system without leaving any trace to the existing users. This issue is critical. This paper aims to the understanding of the MITM and to understand its different categories. Finally this paper aims to present some of mechanism for the prevention of such attacks and to identify some of the future research directions in such area


Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5665
Author(s):  
William Taylor ◽  
Qammer H. Abbasi ◽  
Kia Dashtipour ◽  
Shuja Ansari ◽  
Syed Aziz Shah ◽  
...  

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.


2019 ◽  
Vol 11 (9) ◽  
pp. 2664 ◽  
Author(s):  
Stefano Armenia ◽  
Rosa Maria Dangelico ◽  
Fabio Nonino ◽  
Alessandro Pompei

Today, more than ever, achieving sustainability of business activities, intertwining social, economic, and environmental perspectives, is one of the most challenging objectives for companies. Project management processes are no exception. This paper aims to contribute to the current research knowledge through a systematic review of the literature on the integration of project management and sustainability. Specifically, the aim was to clarify the research domains of sustainable project management, and to understand the current state of development and the future research directions. Results indicate that academic literature about this topic is still in its infancy, but that scholars’ attention is growing, opening new research directions. Based on the literature review results, we propose a new conceptual framework linking five key dimensions of sustainable project management: corporate policies and practices, resource management, life cycle orientation, stakeholders’ engagement, and organizational learning.


2020 ◽  
Vol 62 (5) ◽  
pp. 503-516
Author(s):  
Emel Taban ◽  
Olatunji Oladimeji Ojo

Abstract Flexible and digital manufacturing technologies like additive manufacturing (AM) have evolved as the future of modern manufacturing with the capability of obtaining multi-dimensional components and material functionality improvement. In the past decade, the additive manufacturing of steel has advanced into an effective approach for controlling local microstructure and fabricating hybrid build with tailored performance. As an emerging technology, there are still some challenges in the additive manufacturing of steel that need to be circumvented in order to attain the full potentials of this novel technology. This review paper examines the current state of additively manufactured steel as well as the associated microstructure, mechanical properties, and corrosion of as-built steel. An insight into further and future research directions is provided.


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