Features and Potential Security Challenges for IoT Enabled Devices in Smart City Environment

Abstract

Introduction of Internet of Things in our lives have brought drastic changes in the social norms, working habits, ways of completing tasks and planning for future. Data about our interactions with everyday objects can be effectively transmitted to their destinations with many communicating tags that also often provide specific location information. The risk of potential eavesdropping is always a major concern of data owners. Since Internet of Things is primarily responsible for carrying data of smart objects which are mostly connected over wireless technologies, securing of information carried by these wireless links to safeguard the private information is of utmost importance. Cryptographic techniques to cypher data carried by the IoT networks is one possibility which is not feasible due to the lack of sufficient computing resources at the sensor end of IoT devices. In this paper, we discuss various security issues that haunt the secure IoT deployments and propose a layered solution model that prevents breach of security during transmission of data.

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

“…The data flows and exchanges between network components and the IoT should be subject to effective risk management in assessing and responding to threats within smart cities and the challenges of the technical sophistication gap and standards immaturity (Ainane et al 2018 ; Alandjani 2018 ). Researchers have sought to identify technological solutions to deal with privacy and wider information security challenges.…”

“…A number of articles focused on smart city infrastructure and ways to overcome security and privacy issues within smart cities (Abosaq 2019;Ainane et al 2018;Alandjani 2018;Antoine Picon 2019;Awad et al 2019;Baryshev et al 2016;Bernardes et al 2018;Chatterjee et al 2017;de Amorim et al 2019). The IoT plays a pivotal role within the infrastructure of smart cities as it provides the network architecture responsible for gathering and processing data from distributed sensors and smart devices.…”

“…The study by Ferraz and Ferraz (2014a) argued that information security does not only include privacy, confidentiality, integrity and availability, but also includes interoperable security that represents the idea of a general failure of the urban system. The data flows and exchanges between network components and the IoT should be subject to effective risk management in assessing and responding to threats within smart cities and the challenges of the technical sophistication gap and standards immaturity (Ainane et al 2018;Alandjani 2018). Researchers have sought to identify technological solutions to deal with privacy and wider information security challenges.…”

“…et al (2018);Alandjani (2018); Antoine Picon (2019);Awad et al (2019);Baryshev et al (2016);Bernardes et al (2018);Chatterjee et al (2017);de Amorim et al (2019);de Fuentes et al (2017);Efthymiopoulos (2015);Elmaghraby and Losavio (2014);Evans (2018);Ferraz and Ferraz (2014a);Hiller and Blanke (2017);Jameel et al (2019);Khan et al (2014);Li et al (2015);Liao et al (2017);Liu et al (2017); Pérez-Martínez et al (2013); Rohokale and Prasad (2017); Vitunskaite et al (2019); Waedt et al (2016); Wang et al (2012); Zhu and Zuo (2015) Smart power systems Ainane et al (2018); Alamaniotis et al (2017); Karasevich et al (2016); Sanduleac et al (2016) Smart healthcare Alromaihi et al (2018); Huang et al (2017); De Fuentes et al (2018) Frameworks, algorithms and protocols to improve security and privacy Al-Dhubhani et al (2018); Antonopoulos et al (2017); Avgerou et al (2016); Beltran et al (2017); Burange and Misalkar (2015); Cagliero et al (2015); de Fuentes et al (2017); Ferdowsi et al (2017); Gheisariy et al (2019); González García et al (2017); Gope et al (2018); Guo et al (2017); Han et al (2019); Huerta and Salazar (2019) ; Khedr et al (2019); Krichen and Alroobaea (2019); Krichen et al (2018); Lai et al (2017); Lepinski et al (2016); Luo et al (2017); Mazhelis et al (2016); Patsakis et al (2015); Peters et al (2019); Roldan et al (2019); Sen et al (2013); Shen et al (2017); Song et al (2017); Stromire and Potoczny-Jones (2018); Sucasas et al (2018); Sucasas et al (2016); Berg et al (2019); Wibowo (2018); Witti and Konstantas (2018); Xiao et al (2017); Xie and Hwang (2019); Yilei and Leyou (2019); Zang et al (2017) Operational threats for smart cities Aldairi and Tawalbeh (2017); Baig et al (2017); Dewi Rosadi et al (2018); Dhungana et al (2015); Ferraz and Ferraz (2014b); Galdon-Clavell (2013); Grieman (2019); Habibzadeh et al (2018); Kitchin and Dodge (2019); Pérez-Martínez et al (2013); Techatassanasoontorn and Suo (2010); Vattapparamban et al (2016); Velasquez et al (2018); Yang and Xu (2018) Use and adoption of smart services by citizens (success of smart services) Babdullah et al (2017); Belanche-Gracia et al (2015); Chatterjee et al (2018); Cilliers and Flowerday (2014); Cilliers and Flowerday (2015); Slade et al (2013); Slade et al (2014); Van Heek et al (2016); van Zoonen (2016) Use of blockchain systems within smart cities Mora et al (2019); Noh and Kwon (2019); Ramos and Silva (2019)Social media and smart citiesMoustaka et al (2019) …”

Meme Generation Using Deep Neural Network to Engage Viewers on Social Media

“…Blockchain technology can be used to extend the presented method. [25][26][27] Additionally, the proposed deep neural network can be used for other real-time applications such as vehicle classification. [28][29][30][31]…”