Secure Three-Factor Remote user Authentication for E-Governance of Smart Cities

Gowthami, J.; Shanthi, N.; Krishnamoorthy, N.

doi:10.1109/icctct.2018.8551172

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…The suggested approach has been verified using the popular Automated Validation of Internet Security Protocols and Applications tool. According to the security study [22], the system is resistant to numerous threats.…”

Section: Countermeasuresmentioning

confidence: 99%

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An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

Demertzi

Demertzis

2023

Applied Sciences

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A smart city is where existing facilities and services are enhanced by digital technology to benefit people and companies. The most critical infrastructures in this city are interconnected. Increased data exchange across municipal domains aims to manage the essential assets, leading to more automation in city governance and optimization of the dynamic offered services. However, no clear guideline or standard exists for modeling these data flows. As a result, operators, municipalities, policymakers, manufacturers, solution providers, and vendors are forced to accept systems with limited scalability and varying needs. Nonetheless, it is critical to raise awareness about smart-city cybersecurity and implement suitable measures to safeguard citizens’ privacy and security because cyber threats seem to be well-organized, diverse, and sophisticated. This study aims to present an overview of cyber threats, attacks, and countermeasures on the primary domains of smart cities (smart government, smart mobility, smart environment, smart living, smart healthcare, smart economy, and smart people). It aims to present information extracted from the state of the art so policymakers can perceive the critical situation and simultaneously be a valuable resource for the scientific community. It also seeks to offer a structural reference model that may guide the architectural design and implementation of infrastructure upgrades linked to smart city networks.

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Section: Countermeasuresmentioning

confidence: 99%

“…This is important for any governance transaction service provider because transactions as part of a governance process must be secure and easy to complete. Other references that are often used for security requirements in technology-based services include the following [21,22]:…”

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confidence: 99%

An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

Demertzi

Demertzis

2023

Applied Sciences

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“…AccordingtotheAmericanheritagedictionary,fraudistermedasthedeceptionthatisintentionally accomplishedinordertoperformtheunlawfulgain.However,frauddetectionisusedtoidentify thesymptomsoffraud.Someoftheexamplesthatincludefrauddetectionstrategiesareaccounting fraud, credit card fraud, and insurance fraud. However, the information collected from Nigeria Inter-bank settlement system (NIBSS) showed that the fraudulent transactions are at peak levels inthebankingsector.Inrecentdecades,thefraudsarebeingevolvedandcommittedfromcasual fraudstersintotheorganizedcrimesuchthatthefraudringsutilizedsomesophisticatedtechniques tocontrolthecommitandaccountsoffraud.AccordingtotheresearchofJavelinin2007,nearly 6.8millionAmericansareoffendedthroughcardfraud.In2007,thefraudsintheexistingaccounts faced$3billionloss.Moreover,theNilsonreportspecifiesthecostoftheindustryas$4.84billion (Makki,et al,2019;Nilson,2007;John,et al,2016).In2007,Javelinstatesthetransactionloss amountas%30.6billion (Kim,&Monathan,2008;John,et al,2016).In2006,cardfraudmakes thetransactionlossof423millionaccordingtotheUKeconomy.Moreover,creditcardfraudloses accounttransactionsof$600milliongloballyeachyear (John,et al,2016).Fraudisthecriminalor wrongfuldeceptionthatisintendedtobringthepersonalorthefinancialgain (Zanetti,et al,2017;John,et al,2016;Randhawa,et al,2018).Theresearchworksinfraudreductionarecategorizedinto twotopics(i)frauddetectionand(ii)fraudprevention.Fraudpreventionistheproactiveapproach, wherethecauseoffraudisstopped (Gowthami,et al,2018;Cristin,et al,2019).However,fraud detectionishighlyrequiredwhenfraudulenttransactionsareacceptedbythefraudster (Ruan,et al, 2019;Randhawa,et al,2018).…”

Section: Introductionmentioning

confidence: 99%

Money Transaction Fraud Detection Using Harris Grey Wolf-Based Deep Stacked Auto Encoder

Kolli¹,

Tatavarthi²

2022

International Journal of Ambient Computing and Intelligence

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Due to the intrinsic properties of transactional data, like concept drift, noise, data imbalance, and borderline entities, the fraud detection poses a challenging issue in bank transaction. A number of solutions are developed for detecting the fraud, but these solutions reveal ineffective performance. Therefore, an effective fraud detection framework named Harris Grey Wolf (HGW)-based Deep stacked auto encoder is proposed to perform the fraud detection mechanism in bank transaction by solving the data imbalance issues. The HGW-based deep stacked auto encoder is developed using the characteristic features of the standard Harris Hawks Optimizer (HHO), and Grey Wolf Optimizer (GWO). The proposed HGW-based Deep stacked auto encoder provides an effective and optimal solution in detecting the frauds using the fitness function, which considers the minimal error value and evaluate the best solution based on the iterations. The useful and the appropriate features are effectively selected from the transactional data, as these features enhanced the accuracy of detection rate.

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“…Secure Communications. The data transmitted between systems or components, and more generally, communications in an IoT environment, should be protected from unauthorized disclosure or access [124][125][126][127]. 7.…”

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confidence: 99%

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)

Demertzi

Demertzis

2023

Algorithms

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The rapid advancements in technology have given rise to groundbreaking solutions and practical applications in the field of the Industrial Internet of Things (IIoT). These advancements have had a profound impact on the structures of numerous industrial organizations. The IIoT, a seamless integration of the physical and digital realms with minimal human intervention, has ushered in radical changes in the economy and modern business practices. At the heart of the IIoT lies its ability to gather and analyze vast volumes of data, which is then harnessed by artificial intelligence systems to perform intelligent tasks such as optimizing networked units’ performance, identifying and correcting errors, and implementing proactive maintenance measures. However, implementing IIoT systems is fraught with difficulties, notably in terms of security and privacy. IIoT implementations are susceptible to sophisticated security attacks at various levels of networking and communication architecture. The complex and often heterogeneous nature of these systems makes it difficult to ensure availability, confidentiality, and integrity, raising concerns about mistrust in network operations, privacy breaches, and potential loss of critical, personal, and sensitive information of the network's end-users. To address these issues, this study aims to investigate the privacy requirements of an IIoT ecosystem as outlined by industry standards. It provides a comprehensive overview of the IIoT, its advantages, disadvantages, challenges, and the imperative need for industrial privacy. The research methodology encompasses a thorough literature review to gather existing knowledge and insights on the subject. Additionally, it explores how the IIoT is transforming the manufacturing industry and enhancing industrial processes, incorporating case studies and real-world examples to illustrate its practical applications and impact. Also, the research endeavors to offer actionable recommendations on implementing privacy-enhancing measures and establishing a secure IIoT ecosystem.

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Secure Three-Factor Remote user Authentication for E-Governance of Smart Cities

Cited by 8 publications

References 17 publications

An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities

Money Transaction Fraud Detection Using Harris Grey Wolf-Based Deep Stacked Auto Encoder

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)

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