RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks

Karapoola, Sareena; Singh, Nikhilesh; Rebeiro, Chester; Kamakoti, V.

doi:10.1145/3511808.3557121

“…By training AI models on large datasets of malware samples, adversaries can develop sophisticated malware strains that are highly polymorphic and capable of adapting their behavior to evade detection. Furthermore, AI-powered malware can autonomously spread across networks, infecting vulnerable systems and compromising sensitive data (Schram, 2021;Karapoola, et al, 2022). Moreover, AI-powered attacks can exploit vulnerabilities in AI-enabled systems themselves.…”

Section: Emerging Threat Landscape: Risks and Vulnerabilitiesmentioning

confidence: 99%

Cybersecurity Challenges in the Age of Ai: Theoretical Approaches and Practical Solutions

Babajide Tolulope Familoni

2024

Comput. sci. IT res. j.

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In the ever-evolving landscape of cybersecurity, the proliferation of artificial intelligence (AI) technologies introduces both promising advancements and daunting challenges. This paper explores the theoretical underpinnings and practical implications of addressing cybersecurity challenges in the age of AI. With the integration of AI into various facets of digital infrastructure, including threat detection, authentication, and response mechanisms, cyber threats have become increasingly sophisticated and difficult to mitigate. Theoretical approaches delve into understanding the intricate interplay between AI algorithms, human behavior, and adversarial tactics, elucidating the underlying mechanisms of cyber attacks and defense strategies. However, this complexity also engenders novel vulnerabilities, as AI-driven attacks leverage machine learning algorithms to evade traditional security measures, posing formidable challenges to organizations across sectors. As such, practical solutions necessitate a multifaceted approach, encompassing robust threat intelligence, adaptive defense mechanisms, and ethical considerations to safeguard against AI-driven cyber threats effectively. Leveraging AI for cybersecurity defense holds promise in enhancing detection capabilities, automating response actions, and augmenting human analysts' capabilities. Yet, inherent limitations, such as algorithmic biases, data privacy concerns, and the potential for AI-enabled attacks, underscore the need for a comprehensive risk management framework. Regulatory frameworks and industry standards play a crucial role in shaping the development and deployment of AI-powered cybersecurity solutions, ensuring accountability, transparency, and compliance with ethical principles. Moreover, fostering interdisciplinary collaboration and investing in cybersecurity education and training are vital for cultivating a skilled workforce equipped to navigate the evolving threat landscape. By integrating theoretical insights with practical strategies, this paper elucidates key challenges and opportunities in securing AI-driven systems, offering insights for policymakers, researchers, and practitioners alike. Keywords: Cybersecurity; Artificial Intelligence; Threat Detection; Defense Strategies; Ethical Considerations; Regulatory Frameworks.

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“…As ransomware techniques become more sophisticated, the potential damage they can inflict grows exponentially, not only in terms of financial loss but also in their capacity to undermine the very foundations of trust upon which digital interactions are based [18], [42]. This evolving scenario necessitates a proactive stance in cybersecurity measures, where continuous learning, adaptation, and the cultivation of a cybersecurity-conscious culture become indispensable in the fight against ransomware [9], [10].…”

Section: B Impact Of Ransomware Attacksmentioning

confidence: 99%

Enhancing Public Awareness and Education of Ransomware Attacks

Kumar

2023

Preprint

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<p>Ransomware, a formidable cybersecurity challenge, has escalated in prevalence and sophistication, impacting individuals, organizations, and infrastructures globally. This article delves into the operational mechanisms, progression, and tactics of ransomware, particularly focusing on locker, cryptoransomware, and data theft ransomware. It highlights the significant effects of these assaults across various sectors and emphasizes the pivotal role of knowledge dissemination and educational efforts in ransomware defense. The article encompasses an examination of preventative measures, appraisal of awareness campaigns, and educational initiatives, along with a critical assessment of challenges and future directions in ransomware mitigation. It argues that public awareness and educational programs are not merely supplementary but fundamental aspects of a comprehensive cybersecurity strategy. This piece contributes to the ongoing conversation in cybersecurity, providing insights and recommendations for policymakers, professionals, educators, and the public, and emphasizes the necessity of a well-informed and proactive approach in combating ransomware threats.</p>

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“…The most alarming, perhaps, is data theft ransomware, which not only encrypts data but also threatens to release sensitive information publicly unless a ransom is paid, adding an additional layer of complexity and danger [8]. The proliferation of these ransomware types has been noted in various sectors, signifying a shift in the landscape of digital security threats [9], [10]. For instance, cryptoransomware attacks have been observed to increase by approximately 47.5% over the past few years, indicating a trend that necessitates immediate attention [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Public Awareness and Education of Ransomware Attacks

Kumar

2023

Preprint

0

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<p>Ransomware, a formidable cybersecurity challenge, has escalated in prevalence and sophistication, impacting individuals, organizations, and infrastructures globally. This article delves into the operational mechanisms, progression, and tactics of ransomware, particularly focusing on locker, cryptoransomware, and data theft ransomware. It highlights the significant effects of these assaults across various sectors and emphasizes the pivotal role of knowledge dissemination and educational efforts in ransomware defense. The article encompasses an examination of preventative measures, appraisal of awareness campaigns, and educational initiatives, along with a critical assessment of challenges and future directions in ransomware mitigation. It argues that public awareness and educational programs are not merely supplementary but fundamental aspects of a comprehensive cybersecurity strategy. This piece contributes to the ongoing conversation in cybersecurity, providing insights and recommendations for policymakers, professionals, educators, and the public, and emphasizes the necessity of a well-informed and proactive approach in combating ransomware threats.</p>

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RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks

Cited by 7 publications

References 15 publications

Cybersecurity Challenges in the Age of Ai: Theoretical Approaches and Practical Solutions

Cybersecurity Challenges in the Age of Ai: Theoretical Approaches and Practical Solutions

Enhancing Public Awareness and Education of Ransomware Attacks

Enhancing Public Awareness and Education of Ransomware Attacks

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