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Research Article
Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents
Adam Gorine*,
Sana Abid Khan
Issue:
Volume 7, Issue 4, December 2024
Pages:
122-138
Received:
9 August 2024
Accepted:
2 September 2024
Published:
18 October 2024
Abstract: The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.
Abstract: The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the...
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Research Article
Exploring AES Encryption Implementation Through Quantum Computing Techniques
Adam Gorine*,
Muhammad Suhaib
Issue:
Volume 7, Issue 4, December 2024
Pages:
139-155
Received:
30 August 2024
Accepted:
26 September 2024
Published:
18 October 2024
Abstract: A coming great revolution in technology is quantum computing, which opens new attacks on most of the developed cryptographic algorithms, including AES. These emerging quantum capabilities risk weakening cryptographic techniques, which safeguard a vast amount of data across the globe. This research uses Grover's algorithm to explore the vulnerabilities of the Advanced Encryption Standard to quantum attacks. By implementing quantum cryptographic algorithms and Quantum Error Correction on simulators and quantum hardware, the study evaluates the effectiveness of these techniques in mitigating noise and improving the reliability of quantum computations. The study shows that while AES is theoretically at risk due to Grover’s algorithm, which demonstrates a theoretical reduction in AES key search complexity, current hardware limitations and noise levels encountered in today’s quantum computers reduce the immediate threat and limit practical exploitation. The research also examines NTRU encryption, a quantum-resistant alternative, highlighting its robustness in quantum environments. The findings emphasize the need for further development in QEC and quantum-resistant cryptography to secure digital communications against future quantum threats. Future work will focus on advancing QEC techniques and refining quantum algorithms, addressing both hardware and theoretical advancements, including the potential use of high-capacity processors like Jiuzhang 3.0. These improvements will ensure the scalability of quantum-resistant systems to practical key sizes and usage scenarios.
Abstract: A coming great revolution in technology is quantum computing, which opens new attacks on most of the developed cryptographic algorithms, including AES. These emerging quantum capabilities risk weakening cryptographic techniques, which safeguard a vast amount of data across the globe. This research uses Grover's algorithm to explore the vulnerabilit...
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Research Article
Navigating the Digital Marketing Field: The Role of AI and Emotional Storytelling in Consumer Engagement
Issue:
Volume 7, Issue 4, December 2024
Pages:
156-169
Received:
6 September 2024
Accepted:
23 September 2024
Published:
18 October 2024
Abstract: This study explores the intersection of Artificial Intelligence (AI) and digital storytelling in marketing. By focusing on how AI-driven techniques can enhance emotional attachment and influence consumer behavior. With the rapid advancement of AI, its integration into marketing strategies has become crucial. Particularly for personalizing consumer experiences and enhancing brand narratives. This study investigated the role of AI in creating emotionally engaging narratives, a largely unexplored area in marketing and advertising. The study is motivated by the need to understand the dynamics between AI-driven techniques and emotional attachment in digital marketing. The paper hypothesizes a significant relationship between consumers’ emotional attachment to brands and purchasing behavior. A mixed-methods research approach was employed by combining a survey with interviews to test this hypothesis. This study assesses how emotional attachment, influenced by AI and storytelling, affects consumer purchasing decisions and brand loyalty in online shopping. It also evaluates the effectiveness of AI-driven storytelling techniques in digital marketing campaigns from the perspective of online consumers. Preliminary findings suggest more than 98% recall of story-based branding. More than 67% believe storytelling and emotional attachment may impact purchasing decisions. More than 89% of people recall a brand based on a particular story. While emotional attachment significantly influences consumer purchasing behavior, other factors also play a crucial role. This study reveals that AI’s role in marketing is valued, but the essence of storytelling should remain grounded in human experiences.
Abstract: This study explores the intersection of Artificial Intelligence (AI) and digital storytelling in marketing. By focusing on how AI-driven techniques can enhance emotional attachment and influence consumer behavior. With the rapid advancement of AI, its integration into marketing strategies has become crucial. Particularly for personalizing consumer ...
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