Exploring Cyber Security Measures in Smart Cities

Mohammad, Rami Mustafa A.; Abdulqader, Mamoun Masoud

doi:10.1109/acit50332.2020.9300050

Cited by 7 publications

(6 citation statements)

References 26 publications

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“…To address the key security challenges, their model first highlights and analyzes these problems along with aspects of risks associated with them, and then provides recommendations for solutions and prevention. A similar approach is suggested by ([ 43 , 44 ], and in particular [ 45 ]), who design a threat ‘hunting’ model based on Sparse Representation based Classifier (SRC). Their framework identifies cyber threats by Opcode, Bytecode, and system call views to provide suggestions on ways of addressing and preventing such threats.…”

Section: Resultsmentioning

confidence: 99%

Augmented Reality (AR) and Cyber-Security for Smart Cities—A Systematic Literature Review

Alfouzan

2022

Sensors

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Augmented Reality (AR) and cyber-security technologies have existed for several decades, but their growth and progress in recent years have increased exponentially. The areas of application for these technologies are clearly heterogeneous, most especially in purchase and sales, production, tourism, education, as well as social interaction (games, entertainment, communication). Essentially, these technologies are recognized worldwide as some of the pillars of the new industrial revolution envisaged by the industry 4.0 international program, and are some of the leading technologies of the 21st century. The ability to provide users with required information about processes or procedures directly into the virtual environment is archetypally the fundamental factor in considering AR as an effective tool for different fields. However, the advancement in ICT has also brought about a variety of cybersecurity challenges, with a depth of evidence anticipating policy, architectural, design, and technical solutions in this very domain. The specific applications of AR and cybersecurity technologies have been described in detail in a variety of papers, which demonstrate their potential in diverse fields. In the context of smart cities, however, there is a dearth of sources describing their varied uses. Notably, a scholarly paper that consolidates research on AR and cybersecurity application in this context is markedly lacking. Therefore, this systematic review was designed to identify, describe, and synthesize research findings on the application of AR and cybersecurity for smart cities. The review study involves filtering information of their application in this setting from three key databases to answer the predefined research question. The keynote part of this paper provides an in-depth review of some of the most recent AR and cybersecurity applications for smart cities, emphasizing potential benefits, limitations, as well as open issues which could represent new challenges for the future. The main finding that we found is that there are five main categories of these applications for smart cities, which can be classified according to the main articles, such as tourism, monitoring, system management, education, and mobility. Compared with the general literature on smart cities, tourism, monitoring, and maintenance AR applications appear to attract more scholarly attention.

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Section: Resultsmentioning

confidence: 99%

Augmented Reality (AR) and Cyber-Security for Smart Cities—A Systematic Literature Review

Alfouzan

2022

Sensors

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“…They also discussed the potential of blockchain technology regarding security. Authors in [17] examined the essential cyber security requirements in smart cities based on previous research. Moreover, several other security demands were introduced aiming to fill knowledge gaps.…”

Section: Inclusionmentioning

confidence: 99%

“…[16] Authentication and authorization solutions for IoT, both centralized and decentralized, are reviewed providing information on IoT security.The possibilities of blockchain are discussed. [17] A framework for authentication and authorization in IoT devices is proposed and incorporateds into a standard security framework for IoT devices. A new sender verification mechanism based on time stamps was developed on the device side of the IoT, allowing for token authentication with identity verification capabilities and reducing the need for local identity verification methods at the device side.…”

Section: Inclusionmentioning

confidence: 99%

“…Researchers in [11-14, 16, 24, 29, 32, 35] examined the IoT security for smart cities from the device integrity perspective. The secure communication for IoT security in smart cities was covered in [9, 11-14, 18-20, 24-26, 29, 30, 32, 35-38, 61. Securing data storage to enhance IoT security solutions for smart cities was discussed in [14, 16-18, 21, 24, 27, 30, 35, 36, 61. Finally, authors in [12,13,15,17,18,20,23,25,29,31,36 studied the IoT security for smart cities from a security incident response perspective. Table V exhibits the analysis of IoT security models proposed in the literature for smart cities from different security aspects.…”

Section: Iot Security Training and Awarenessmentioning

confidence: 99%

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IoT Security Model for Smart Cities based on a Metamodeling Approach

Alotaibe

2024

Eng. Technol. Appl. Sci. Res.

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Security solutions for the Internet of Things (IoT) in smart cities are complex and require a comprehensive approach to success. Several models and frameworks have been developed focusing on IoT security. Some deal with access controls and security and some with authentication and authorization in various forms. Literature still lacks a comprehensive IoT security model for smart cities, which can support the implementation of IoT. Accordingly, this study has set two objectives: to explore the present studies in IoT security for smart cities and to develop an IoT security model for smart cities based on the metamodeling approach. According to the findings of the study, the existing IoT security models for smart cities consider seven security aspects: authentication and authorization, device management, intrusion detection and prevention, device integrity, secure communication, secure data storage, and response to security incidents. The model developed in this study, called IoT Security Metamodel (IoTSM), combines these aspects. IoTSM captures the main qualities of IoT security practices in smart cities through domain security processes.

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“…Such damaging activities are typically intended to harm the Information Technology (IT) infrastructure for an organization. On top of that, it can also be intended to harm the IT infrastructure of various governmental and public solutions that have been mainly designed to enhance the individual's way of life [21,23]. Typically, DoS attempts might impact the availability and the accessibility of the targeted internet-based solution due to processing capability overload.…”

Section: Introductionmentioning

confidence: 99%

Improved Multi-Verse Optimizer Feature Selection Technique With Application To Phishing, Spam, and Denial Of Service Attacks

Alzaqebah¹,

Jawarneh

Mohammad

et al. 2022

Int. j. commun. netw. inf. secur.

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Intelligent classification systems proved their merits in different fields including cybersecurity. However, most cybercrime issues are characterized of being dynamic and not static classification problems where the set of discriminative features keep changing with time. This indeed requires revising the cybercrime classification system and pick a group of features that preserve or enhance its performance. Not only this but also the system compactness is regarded as an important factor to judge on the capability of any classification system where cybercrime classification systems are not an exception. The current research proposes an improved feature selection algorithm that is inspired from the well-known multi-verse optimizer (MVO) algorithm. Such an algorithm is then applied to 3 different cybercrime classification problems namely phishing websites, spam, and denial of service attacks. MVO is a population-based approach which stimulates a well-known theory in physics namely multi-verse theory. MVO uses the black and white holes principles for exploration, and wormholes principle for exploitation. A roulette selection schema is used for scientifically modeling the principles of white hole and black hole in exploration phase, which bias to the good solutions, in this case the solutions will be moved toward the best solution and probably to lose the diversity, other solutions may contain important information but didn’t get chance to be improved. Thus, this research will improve the exploration of the MVO by introducing the adaptive neighborhood search operations in updating the MVO solutions. The classification phase has been done using a classifier to evaluate the results and to validate the selected features. Empirical outcomes confirmed that the improved MVO (IMVO) algorithm is capable to enhance the search capability of MVO, and outperform other algorithm involved in comparison.

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Exploring Cyber Security Measures in Smart Cities

Cited by 7 publications

References 26 publications

Augmented Reality (AR) and Cyber-Security for Smart Cities—A Systematic Literature Review

Augmented Reality (AR) and Cyber-Security for Smart Cities—A Systematic Literature Review

IoT Security Model for Smart Cities based on a Metamodeling Approach

Improved Multi-Verse Optimizer Feature Selection Technique With Application To Phishing, Spam, and Denial Of Service Attacks

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