IoT Hardware‐Based Security: A Generalized Review of Threats and Countermeasures

Higgins, Catherine; McDonald, Lucas; Haq, Muhammad Ijaz Ul; Hakak, Saqib

doi:10.1002/9781119607755.ch10

Cited by 4 publications

(3 citation statements)

References 50 publications

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“…Cyborg accounts are practically those in which a human occasionally and periodically takes over the bot account to respond to queries and comments of other users and to post some new authentic content. They are not only more expensive and time consuming to work, but also they are better hiders as robots 7 . Operators of such accounts also are often called "cyborgs" because of this mix of automated and "human" posts.…”

Section: Identification Of News Bots (Cyborgs)mentioning

confidence: 99%

Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities

Shahid

Jamshidi

Hakak

et al. 2024

IEEE Trans. Comput. Soc. Syst.

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Fake news is a major threat to democracy (e.g., influencing public opinion), and its impact cannot be understated particularly in our current socially and digitally connected society. The research community from different disciplines (e.g., computer science, political science, information science, and linguistics) have also studied the dissemination, detection and mitigation of fake news, however it remains challenging to detect and prevent the dissemination of fake news in practice. With AI powered systems, its highly crucial to understand the detector's decision of fake news by means of proper user-friendly explanations when it comes to social media. Hence, in this paper, we systematically survey existing state-of-the-art approaches designed to detect and mitigate the dissemination of fake news, and based on the analysis, we discuss several key challenges and present potential future research agenda specially incorporating AI explainable Fake news credibility system.

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Section: Identification Of News Bots (Cyborgs)mentioning

confidence: 99%

Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities

Shahid

Jamshidi

Hakak

et al. 2024

IEEE Trans. Comput. Soc. Syst.

Self Cite

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“…Despite the benefits, various downsides are observed. IIoT-driven systems have weak security and privacy configurations, therefore they can be hacked by various network attacks [24], [25].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study of the Man and Unmanned Teaming System for Improving Efficiency in a Fulfillment Center

Khudoyberdiev,

Garnaik,

Kim

et al. 2023

IEEE Access

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In fulfillment centers, efficient inbound transportation and goods storage are crucial factors that impact overall performance and supply chain costs. Traditional processes often involve human workers performing repetitive tasks, leading to increased expenses. This study presents a Manned-Unmanned Teaming (MUM-T) approach that combines unmanned Automated Guided Vehicles (AGVs) with manned forklift vehicles to automate these processes and minimize costs. The primary objectives are to model AGV-based unmanned inbound transportation, design a manned traveling forklift problem (TFP) with a shortest path algorithm, and compare the MUM-T approach to traditional methods in terms of distance, time, and cost. Results from theoretical analysis and simulations show that the MUM-T approach can reduce traveling distance, working hours, and operational costs by up to 32%, 38%, and 51%, respectively. Moreover, the proposed algorithm enables Beginner and Intermediate-level forklift operators to achieve efficiency comparable to that of Professionals. These findings indicate that implementing the MUM-T approach can significantly enhance the efficiency and cost-effectiveness of inbound transportation and forklift processes in fulfillment centers.INDEX TERMS Automated guided vehicles, fulfillment center, improving efficiency, inbound transportation, man and unmanned teaming, process automation, traveling forklift problem.

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“…IoT attacks can generally be classified into four categories [2][3][4][5]: physical attacks, cyberattacks, software attacks, and side-channel attacks. Side-channel attacks use information, such as sound, power, and time, leaked by a system (especially the cryptosystem) to crack the system (key) [6,7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the Impact of Cache Parameter Selection in Access-Driven Cache Attacks

Guo

Yan

et al. 2022

Electronics

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Cache attacks exploit the hardware vulnerabilities inherent to modern processors and pose a new threat to Internet of Things (IoT) devices. Intuitively, different cache parameter configurations directly impact the attack effectiveness, but the current research on this issue is not systematic or comprehensive enough. This paper’s primary focus is to evaluate how different cache parameter configurations affect access-driven attacks. We build a flexible and configurable simulation verification environment based on the Chipyard framework. To reduce the interference of other factors, we established a baseline for each category of parameter evaluation. We propose a novel evaluation model, called Key Score Scissors Differential (KSSD), for evaluating common private and shared cache parameters under the local and cross-core attack models, respectively; among these are private cache replacement policy, private cache capacity, cache line size, private cache associativity, shared cache capacity, and shared cache associativity. Ours is the first evaluation of the shared cache under a cross-core attack model. As a result of the evaluation, the quantitative metrics can provide a reliable indication of information leakage level under the current cache configuration, which is helpful for attackers, defenders, and evaluators. Furthermore, we provide detailed explanations and discussions of inconsistent findings by comparing our results with the existing literature.

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IoT Hardware‐Based Security: A Generalized Review of Threats and Countermeasures

Cited by 4 publications

References 50 publications

Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities

Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities

A Study of the Man and Unmanned Teaming System for Improving Efficiency in a Fulfillment Center

Evaluation on the Impact of Cache Parameter Selection in Access-Driven Cache Attacks

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