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Information, Volume 14, Issue 12

December 2023 - 42 articles

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Cover Story: This paper presents a residual cybersecurity risk management framework aligned with the framework presented in ISO/SAE 21434. A methodology is proposed to develop an integrated attack tree that considers multiple sub-systems within the CPS. Our previous approach utilises a flow graph to calculate the residual risk to a system before and after applying defences. This paper is an extension of our initial work. It defines the steps for applying the proposed framework and using adaptive cruise control (ACC) and adaptive light control (ALC) to illustrate the applicability of our work. This work is evaluated by comparing it with the requirements of the risk management framework discussed in the literature. Currently, our methodology satisfies more than 75% of their requirements. View this paper

Articles (42)

  • Review
  • Open Access
19 Citations
8,978 Views
43 Pages

18 December 2023

The increasing complexity and connectivity of automotive systems have raised concerns about their vulnerability to security breaches. As a result, the integration of formal methods and validation techniques has become crucial in ensuring the security...

  • Review
  • Open Access
24 Citations
12,076 Views
24 Pages

Revolutionizing Vaccine Development for COVID-19: A Review of AI-Based Approaches

  • Aritra Ghosh,
  • Maria M. Larrondo-Petrie and
  • Mirjana Pavlovic

18 December 2023

The evolvement of COVID-19 vaccines is rapidly being revolutionized using artificial intelligence-based technologies. Small compounds, peptides, and epitopes are collected to develop new therapeutics. These substances can also guide artificial intell...

  • Article
  • Open Access
73 Citations
60,657 Views
30 Pages

17 December 2023

Artificial intelligence (AI) has rapidly emerged as a transformative force in multiple sectors, with digital marketing being a prominent beneficiary. As AI technologies continue to advance, their potential to reshape the digital marketing landscape b...

  • Article
  • Open Access
1 Citations
2,561 Views
19 Pages

16 December 2023

Drug side effects (DSEs) or adverse drug reactions (ADRs) are a major concern in the healthcare industry, accounting for a significant number of annual deaths in Europe alone. Identifying and predicting DSEs early in the drug development process is c...

  • Article
  • Open Access
8 Citations
3,038 Views
28 Pages

14 December 2023

Cloud computing and relevant emerging technologies have presented ordinary methods for processing edge-produced data in a centralized manner. Presently, there is a tendency to offload processing tasks as close to the edge as possible to reduce the co...

  • Article
  • Open Access
1 Citations
3,114 Views
20 Pages

14 December 2023

Within organizational settings, communication dynamics are influenced by various factors, such as email content, historical interactions, and interpersonal relationships. We introduce the Email MultiModal Architecture (EMMA) to model these dynamics a...

  • Article
  • Open Access
11 Citations
4,570 Views
28 Pages

Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning

  • Jacob Sanderson,
  • Hua Mao,
  • Mohammed A. M. Abdullah,
  • Raid Rafi Omar Al-Nima and
  • Wai Lok Woo

14 December 2023

In the face of increasing flood risks intensified by climate change, accurate flood inundation mapping is pivotal for effective disaster management. This study introduces a novel explainable deep learning architecture designed to generate precise flo...

  • Article
  • Open Access
21 Citations
3,510 Views
31 Pages

Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective

  • Andra Sandu,
  • Liviu-Adrian Cotfas,
  • Camelia Delcea,
  • Liliana Crăciun and
  • Anca Gabriela Molănescu

13 December 2023

The global impact of the COVID-19 pandemic has been profound, placing significant challenges upon healthcare systems and the world economy. The pervasive presence of illness, uncertainty, and fear has markedly diminished overall life satisfaction. Co...

  • Article
  • Open Access
2 Citations
2,446 Views
20 Pages

12 December 2023

Apache Spark is a high-speed computing engine for processing massive data. With its widespread adoption, there is a growing need to analyze its correctness and temporal properties. However, there is scarce research focused on the verification of temp...

  • Article
  • Open Access
5 Citations
3,584 Views
18 Pages

12 December 2023

To identify objects in images, a complex set of skills is needed that includes understanding the context and being able to determine the borders of objects. In computer vision, this task is known as semantic segmentation and it involves categorizing...

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Information - ISSN 2078-2489Creative Common CC BY license