IoTES (A Machine learning model) Design dependent encryption selection for IoT devices

Saleh, Matasem; Jhanjhi, N. Z.; Abdullah, Azween; Saher, Raazia

doi:10.23919/icact53585.2022.9728960

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…It will also encompass attributes like scalability, dependability, and security. Ensuring data security, particularly safeguarding the physical integrity of IoT sensors and employing robust encryption methods, is crucial [42,43]. The system will be hosted on a cloud platform, such as Microsoft Azure or Amazon Web Services, and will continually enhance the garbage collection and management process through the utilization of real-time data.…”

Section: Cloud-based Analyticsmentioning

confidence: 99%

Holistic Trash Collection System Integrating Human Collaboration with Technology

Saher,

Saleh,

Anjum

2023

Applied Sciences

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Effective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balance of ecosystems and pose threats to biodiversity. The emission of carbon dioxide, methane, and greenhouse gases (GHGs) can constitute a significant factor in the progression of global warming and climate change, consequently giving rise to atmospheric pollution. This pollution, in turn, has the potential to exacerbate respiratory ailments, elevate the likelihood of cardiovascular disorders, and negatively impact overall public health. Hence, efficient management of trash is extremely crucial in any society. It requires integrating technology and innovative solutions, which can help eradicate this global issue. The internet of things (IoT) is a revolutionary communication paradigm with significant contributions to remote monitoring and control. IoT-based trash management aids remote garbage level monitoring but entails drawbacks like high installation and maintenance costs, increased electronic waste production (53 million metric tons in 2013), and substantial energy consumption for always-vigilant IoT devices. Our research endeavors to formulate a comprehensive model for an efficient and cost-effective waste collection system. It emphasizes the need for global commitment by policymakers, stakeholders, and civil society, working together to achieve a common goal. In order to mitigate the depletion of manpower, fuel resources, and time, our proposed method leverages quick response (QR) codes to enable the remote monitoring of waste bin capacity across diverse city locations. We propose to minimize the deployment of IoT devices, utilizing them only when absolutely necessary and thereby allocating their use exclusively to central garbage collection facilities. Our solution places the onus of monitoring garbage levels at the community level firmly on the shoulders of civilians, demonstrating that a critical aspect of any technology is its ability to interact and collaborate with humans. Within our framework, citizens will employ our proposed mobile application to scan QR codes affixed to waste bins, select the relevant garbage level, and transmit this data to the waste collection teams’ database. Subsequently, these teams will plan for optimized garbage collection procedures, considering parameters such as garbage volume and the most efficient collection routes aimed at minimizing both time and fuel consumption.

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Section: Cloud-based Analyticsmentioning

confidence: 99%

Holistic Trash Collection System Integrating Human Collaboration with Technology

Saher,

Saleh,

Anjum

2023

Applied Sciences

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“…The most common way to protect information is through encryption algorithms. Even though in resource-constrained devices, it is more complex to implement encryption, as discussed in [ 6 , 7 ], various options can help choose an appropriate encryption for each device, as shown in [ 8 ]. On the other hand, the branch of hardware security does not have such a clear option to protect information.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach of a Low-Cost Voltage Fault Injection Method for Resource-Constrained IoT Devices: Design and Analysis

Ruminot,

Estevez,

Montejo-Sánchez

2023

Sensors

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The rapid development of the Internet of Things (IoT) has brought about the processing and storage of sensitive information on resource-constrained devices, which are susceptible to various hardware attacks. Fault injection attacks (FIAs) stand out as one of the most widespread. Particularly, voltage-based FIAs (V-FIAs) have gained popularity due to their non-invasive nature and high effectiveness in inducing faults by pushing the IoT hardware to its operational limits. Improving the security of devices and gaining a comprehensive understanding of their vulnerabilities is of utmost importance. In this study, we present a novel fault injection method and employ it to target an 8-bit AVR microcontroller. We identify the optimal attack parameters by analyzing the detected failures and their trends. A case study is conducted to validate the efficacy of this new method in a more realistic scenario, focusing on a simple authentication method using the determined optimal parameters. This analysis not only demonstrates the feasibility of the V-FIA but also elucidates the primary characteristics of the resulting failures and their propagation in resource-constrained devices. Additionally, we devise a hardware/software countermeasure that can be integrated into any resource-constrained device to thwart such attacks in IoT scenarios.

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IoT-Enabled Smart Warehousing with AMR Robots and Blockchain: A Comprehensive Approach to Efficiency and Safety

Balakrishnan,

Azman,

Nisar

et al. 2023

Advances in Intelligent Systems and Computing

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IoTES (A Machine learning model) Design dependent encryption selection for IoT devices

Cited by 7 publications

References 21 publications

Holistic Trash Collection System Integrating Human Collaboration with Technology

Holistic Trash Collection System Integrating Human Collaboration with Technology

A Novel Approach of a Low-Cost Voltage Fault Injection Method for Resource-Constrained IoT Devices: Design and Analysis

IoT-Enabled Smart Warehousing with AMR Robots and Blockchain: A Comprehensive Approach to Efficiency and Safety

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