Computer Forensic Investigation in Cloud of Things

Computer Forensic Investigation in Cloud of Things

A. Surendar (Vignan's Foundation for Science, Technology & Research (Deemed to be University), India)
Copyright: © 2019 |Pages: 15
DOI: 10.4018/978-1-5225-7955-7.ch011
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Digital data transformation is most challenging in developing countries. In recent days, all the applications are functioning with the support of internet of things (IoT). Wearable devices involve the most insightful information, which includes individual healthcare data. Health records of patients must be protected. IoT devices could be hacked, and criminals use this information. Smart cities with IoT use information technology to collect, analyze, and integrate information. Smart reduces the network traffic using the ground sensors, micro-radars, and drones monitor traffic to the traffic controller based on that signals are designed. The data collected includes the images and convey information to smart vehicles, which in turn, if data are hacked, may affect many people. Smart city includes important features such as smart buildings, smart technology, smart governance, smart citizen, and smart security. Cyber threat is a challenging problem, and usage of apps may increase malware that affects various customers.
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Smart City Infra Structure Design With Secured Information Transfer

The security and privacy of information in a smart city has been interest of researchers. The reason behind it is that, in order to ensure the continuity of critical services like health care, governance and energy/utility issues in a smart city, the information security must be fool proof. The factors that are taken under consideration in order to identify the issues in information security in a smart city include governance factors, social/economic factors and most importantly economic factors. The researchers identify, explain and propose solutions to the information security issues by considering the mentioned factors. The IoT has been the key interest of the researchers as it is the core technology on which the smart cities are being developed and maintained (Mattern & Floerkemeier, 2010). For instance, in Marinescu (2017), the key hurdles and problems faced regarding security and privacy are discussed, keeping in the context of technological standards. This chapter particularly focuses on Machine to Machine (M2M) standard solutions that are helpful in better implementation of IoT in a smart city.

Though the mathematical and graphical model for the IoT, people and servers is given stating that it will help in locating the problems in security and privacy, but the methodology to do so is not discussed. Moreover, Mell and Grance (2011) propose a distributed framework for IoT applications, which promises security, trust and privacy in information delivery. As IoT applications play a key role on building the smarter city, so some information security issues in a smart city can be addressed through the distributive framework.

Data Security in Smart Cities: Challenges and Solutions

Trends as hyper connectivity, messy complexity, loss of boundary and industrialized hacking transform smart cities in complex environments in which the already-existing security analysis are not useful anymore. Specific data-security requirements and solutions are approached in a four-layer framework, with elements considered to be critical to the operation of a smart city: smart things, smart spaces, smart systems and smart citizens.

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