Seamless Key Agreement Framework for Mobile-Sink in IoT Based Cloud-Centric Secured Public Safety Sensor Networks

Al-Turjman, Fadi
Ever, Yoney Kirsal
Ever, Enver
Nguyen, Huan X.
David, Deebak Bakkiam
Recently, the Internet of Things (IoT) has emerged as a significant advancement for Internet and mobile networks with various public safety network applications. An important use of IoT-based solutions is its application in post-disaster management, where the traditional telecommunication systems may be either completely or partially damaged. Since enabling technologies have restricted authentication privileges for mobile users, in this paper, a strategy of mobile-sink is introduced for the extension of user authentication over cloud-based environments. A seamless secure authentication and key agreement (S-SAKA) approach using bilinear pairing and elliptic-curve cryptosystems is presented. It is shown that the proposed S-SAKA approach satisfies the security properties, and as well as being resilient to node-capture attacks, it also resists significant numbers of other well-known potential attacks related with data confidentiality, mutual authentication, session-key agreement, user anonymity, password guessing, and key impersonation. Moreover, the proposed approach can provide a seamless connectivity through authentication over wireless sensor networks to alleviate the computation and communication cost constraints in the system. In addition, using Burrows-Abadi-Needham logic, it is demonstrated that the proposed S-SAKA framework offers proper mutual authentication and session key agreement between the mobile-sink and the base station.


Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning
Al-Turjman, Fadi; Zahmatkesh, Hadi; Mostarda, Leonardo (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an important element input to keep the acceptable level of reliability in various configurations. In this paper, we aim to address the pricing model of delivering data over the cloud while taking into consideration the dynamic uncertainty factors such as network topology, transmission/reception energy, nodal charge and power, and computation capacity. These uncertainty factors are mapped to different nodes with varying capa...
Construction project control through wireless networking
Köseoğlu, Oğuzhan Ozan; Nielsen, Yasemin; Department of Civil Engineering (2004)
In this thesis, the latest developments in mobile telecommunications and mobile devices are investigated in order to integrate wireless connectivity and mobile computing in construction industry core business processes on site. The research includes current technologies and implementation in the construction industry and other industries. Wireless solutions are presented in order to improve information flow, quality of data, control and coordinate business processes in construction companies. The Marmaray p...
An ultra-wide band low-SAR flexible metasurface-enabled antenna for WBAN applications
Yalduz, Husnu; Koc, Burak; Kuzu, Lokman; TÜRKMEN, MUSTAFA (Springer Science and Business Media LLC, 2019-08-09)
In this study, an ultra-wideband low-specific absorption rate (SAR) flexible metasurface-enabled wearable antenna is proposed for wireless body area network applications. The antenna and metamaterial (MM) structure were designed and analyzed using a commercial electromagnetic simulation software program which uses a finite integration technique solver. The antenna is designed and fabricated on a jeans textile substrate in the size of 58 x 80 x 1 mm(3). Moreover, MM reflector was designed on a felt textile s...
Multilevel Object Tracking in Wireless Multimedia Sensor Networks for Surveillance Applications Using Graph-Based Big Data
Kucukkececi, Cihan; Yazıcı, Adnan (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
Wireless Multimedia Sensor Networks (WMSN), for object tracking, have been used as an emerging technology in different application areas, such as health care, surveillance, and traffic control. In surveillance applications, sensor nodes produce data almost in real-time while tracking the objects in a critical area or monitoring border activities. The generated data is generally treated as big data and stored in NoSQL databases. In this paper, we present a new object tracking approach for surveillance applic...
Network Experience Scheduling and Routing Approach for Big Data Transmission in the Internet of Things
Al-Turman, Fadi; Mostarda, Leonardo; Ever, Enver; Darwish, Ahmed; Khalil, Naziha Shekh (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
The recent developments in the Internet of Things related technologies have caused a shift towards smart applications such as smart cities, smart homes, smart education systems, e-health, and online applications to run businesses. These, in turn, have introduced significant additional loads to the existing network infrastructures. In addition, these applications use big data and require relatively short response times. In this paper, we are introducing a new scheduling and routing approach to enhance the en...
Citation Formats
F. Al-Turjman, Y. K. Ever, E. Ever, H. X. Nguyen, and D. B. David, “Seamless Key Agreement Framework for Mobile-Sink in IoT Based Cloud-Centric Secured Public Safety Sensor Networks,” IEEE ACCESS, pp. 24617–24631, 2017, Accessed: 00, 2020. [Online]. Available: