scholarly journals Improve Security in Smart Cities Based on IoT, Solve Cyber Electronic Attacks with Technology by using Packet Tracer

2021 ◽  
Vol 13 (6) ◽  
pp. 55-69
Author(s):  
Raed Al-hamarneh

Smart cities are expected to significantly improve people's quality of life, promote sustainable development, and enhance the efficiency of operations. With the implementation of many smart devices, c problems have become a serious challenge that needs strong treatments, especially the cyber-attack, which most countries suffer from it. My study focuses on the security of smart city systems, which include equipment like air conditioning, alarm systems, lighting, and doors. Some of the difficulties that arise daily may be found in the garage. This research aims to come up with a simulation of smart devices that can be and reduce cyber attach. Use of Cisco Packet tracer Features Simulated smart home and c devices are monitored. Simulation results show that smart objects can be connected to the home portal and objects can be successfullymonitored which leads to the idea of real-life implementation and see. In my research make manysolutions for attachingissues,which was great, and apply some wirelessprotocol.

Technologies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 29 ◽  
Author(s):  
Eleni Boumpa ◽  
Anargyros Gkogkidis ◽  
Ioanna Charalampou ◽  
Argyro Ntaliani ◽  
Athanasios Kakarountas ◽  
...  

Aging-in-place can reduce the progress of dementia syndrome and improve the quality of life of the sufferers and their families. Taking into consideration the fact that numerous neurological research results suggest the use of sound as a stimulus for empowering the memory of the sufferer, an innovative information home support system for people suffering from dementia is proposed. The innovation of the proposed system is found in its application, that is to integrate a home system for assisting with person recognition via a sound-based memory aid service. Furthermore, the system addresses the needs of people suffering from dementia to recognize their familiars and have better interaction and collaboration, without the need for training. The system offers a ubiquitous recognition system, using smart devices like smart-phones or smart-wristbands. When a familiar person is detected in the house, then a sound is reproduced on the smart speakers, in order to stimulate the sufferer’s memory. The system identified all users and reproduced the appropriate sound in 100% of the cases. To the best of the authors’ knowledge, this is the first system of its kind for assisting person recognition via sound ever reported in the literature.


2018 ◽  
Vol 1 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Hemiary

The Internet of Things (IoT) contains smart devices placed in different environments, connected with each other across networks and Internet. The integration between Things and Cloud Computing (CC) for monitoring and permanent storage is required for future IoT applications. Therefore, this paper proposes IoT architecture based Cloud for healthcare network when patients are remotely monitored by their family and physicians. This proposed architecture is different from the traditional IoT architecture that consists of Things, getaways, middleware, and application layers which in turn need connectivity insurance between them. The proposed architecture is designed and configured using Cisco Packet Tracer version 7.0 over two sites: Site 'A' located at smart home and site 'B' located at the smart hospital. The results show that the IoT based Cloud enhances the patient life style by using smart sensors and mobile application, as well as the physicians can remotely monitor the data in real time.


Biometrics ◽  
2017 ◽  
pp. 157-185
Author(s):  
Tuğrul Taşci

In today's World, huge multi-media databases have become evident due to the fact that Internet usage has reached at a very-high level via various types of smart devices. Both willingness to come into prominence commercially and to increase the quality of services in leading areas such as education, health, security and transportation imply querying on those huge multi-media databases. It is clear that description-based querying is almost impossible on such a big unstructured data. Image mining has emerged to that end as a multi-disciplinary field of research which provides example-based querying on image databases. Image mining allows a wide variety of image retrieval and image matching applications intensely required for certain sectors including production, marketing, medicine and web publishing by combining the classical data mining techniques with the implementations of underlying fields such as computer vision, image processing, pattern recognition, machine learning and artificial intelligence.


2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Luca Foschini ◽  
Giuseppe Martuscelli ◽  
Rebecca Montanari ◽  
Michele Solimando

AbstractSmart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In this scenario, Mobile CrowdSensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. MCS allow people roaming around with their smart devices to collectively sense, gather, and share data, thus leveraging the possibility to capture the pulse of the city. That can be very helpful in emergency scenarios, such as the COVID-19 pandemic, that require to track the movement of a high number of people to avoid risky situations, such as the formation of crowds. In fact, using mobility traces gathered via MCS, it is possible to detect crowded places and suggest people safer routes/places. In this work, we propose an edge-anabled mobile crowdsensing platform, called ParticipAct, that exploits edge nodes to compute possible dangerous crowd situations and a federated blockchain network to store reward states. Edge nodes are aware of all critical situation in their range and can warn the smartphone client with a smart push notification service that avoids firing too many messages by adapting the warning frequency according to the transport and the specific subarea in which clients are located.


Author(s):  
Tuğrul Taşci

In today's World, huge multi-media databases have become evident due to the fact that Internet usage has reached at a very-high level via various types of smart devices. Both willingness to come into prominence commercially and to increase the quality of services in leading areas such as education, health, security and transportation imply querying on those huge multi-media databases. It is clear that description-based querying is almost impossible on such a big unstructured data. Image mining has emerged to that end as a multi-disciplinary field of research which provides example-based querying on image databases. Image mining allows a wide variety of image retrieval and image matching applications intensely required for certain sectors including production, marketing, medicine and web publishing by combining the classical data mining techniques with the implementations of underlying fields such as computer vision, image processing, pattern recognition, machine learning and artificial intelligence.


Author(s):  
Tanishka and Prof. Shikha Gupta

The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Internet of Things (IoT) is rapidly gaining momentum in the scenario of telecommunications. Conventional networks allow for interactivity and data exchange, but these networks have not been designed for the new features and functions of IoT devices. In this paper, an algorithm is proposed to share common recourse among Things, that is, between different types of smart appliances. . Purpose is to analyze deeper the cases separating the network and IoT layout, giving a deeper explanation of the purpose of the simulations, presenting all the information needed to utilize the exercises but also giving suggestion how to expand the exercises further. This implementation can be implemented effectively using package tracking software that includes IoT functions to control and simulate a smart home. IoT technology can be applied to many real life issues, such as: homework, treatment, campus, office, etc.


2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Surendra Kumar Keshari ◽  
Vineet Kansal ◽  
Sumit Kumar

Software Defined Network (SDN) is a programmable network which separates the control logic-plane and hardware data-plane. The SDN centrally manages different Internet of Things (IoT) enabled smart devices like, actuators and sensors connected in the networks. Smart city infrastructure is an application of IoT network which purpose is to manage the city network without human interventions. To collect the real time data, such smart devices generate large amount of data and increasing the traffic in network. To maintain the quality of services (QoS) of smart city IoT networks, the SDN needs to deploy the multi-controllers. But the communication performance reduces due to unbalance load distribution on controllers. To balance the traffic load of controller an intelligent cluster based Grey Wolf Optimization Affinity Propagation (GWOAP) Algorithm is proposed when deploying the multiple controllers in SDN-IoT enabled smart city networks. The proposed algorithm is simulated and the experimental results able to calculates the minimum overall communication cost in comparison with Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Affinity Propagation (AP). The proposed GWOAP better balance the IoT enabled smart switches among clusters and node equalization is balanced for each controller in deployed topology. By using the proposed methodology, the traffic load of IoT enabled devices in smart city networks intelligently better balance among controllers.


Author(s):  
Olga Berenice Mora ◽  
Elsa Julieta Cedillo-Elias ◽  
Emmanuel Aceves ◽  
Victor M. Larios

Most of the work to develop a smart city is how to connect physical urban infrastructure to the digital world to use it as a solution space for citizens and authorities to make best decisions to reach the best quality of life every day. Every city as a complex system needs to adequately manage their different dimensions. This chapter proposes the second approach with a top-down architecture identifying a set of information technologies linked in processes that every city service needs as part of their digital transformation process in their urban space. Hence, this chapter introduces six technological layers in a workflow pipeline that are explained as an approach to develop every smart system of a city. However, in the proposed workflow of technologies to implement, the authors give a central focus to the IoT infrastructure as the base to build information of quality, to have reliable services even after getting insights from analytics to come back to the IoT with their connected actuators to take actions.


Author(s):  
Ganesh Khekare ◽  
Pushpneel Verma ◽  
Urvashi Dhanre ◽  
Seema Raut ◽  
Ganesh Yenurkar

The internet of things (IoT) is transpiring technology. In the last decade, demand of IoT has been increased due to various things like the use of smart devices; increased demand for voice-based services; the concept of smart cities has been evolved; more requirements of processed data in fields of artificial intelligence and machine learning; fog computing, deep learning, etc. IoT is expected to reach the milestone of 30 billion IoT units at the end of the year 2020. Internet of things is the network of statutory things like houses, private companies, automobiles, and various objects integrated with sensors, actuators, software, electronic equipment, and internet availability that provides the facility to devices to interchange their data. The main contribution of this article is to provide state of art about the characteristics, functionalities, and challenges of the internet of things and the journey of IoT right from start to how it will make an impact on people's quality of life throughout the world in the near future.


2021 ◽  
Vol 21 ◽  
pp. 84-96
Author(s):  
Sucheta Gupta ◽  
Sushil Lekhi

The technology has been growing from day to day in human life. The basic need of human to lead his/her life comfortably is a home. A home with updated latest technology which means a smart home. In such a scenario, there is a need to have an endeavour to have everything at the push of a button away, and more importantly, automated. Home Automation is such an endeavour, in which, all the electrical appliances present at home are connected to each other, having interactions with sensors placed at strategic positions in a closed loop manner to perform meagre tasks automatically, leaving less burden on the humans. With this project we are promoting the fact that Home Automation can greatly contribute to energy conservation too. This paper gives the basic idea use cisco packet tracer to implement smart home. Cisco implemented (IoT) functionalities in the latest version of the platform, and now it is possible to add all the smart devices, sensors, actuators, and devices, which simulate microcontrollers like Arduino or Raspberry Pi to the network. All IoT devices can be run on generic programs or modified by Java, Python or Blocky programming them. This makes Cisco Packet Tracer a perfect method to construct functional simulations for IoT.


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