The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

Tao, Feng; Akhtar, Muhammad Shoaib; Zhang, Jiayuan

doi:10.4108/eai.7-7-2021.170285

Cited by 28 publications

(6 citation statements)

References 67 publications

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“…The integration of artificial intelligence (AI) into various domains brings unprecedented capabilities and efficiencies, but it also introduces new vulnerabilities and risks. Looking ahead, future directions in securing AI-powered systems must address emerging threats, enhance resilience, and promote responsible and ethical AI practices professionals (Tao, et al, 2021;Walters, and Novak, 2021). This essay explores the future directions and challenges in securing AI-powered systems, highlighting key considerations for organizations and cybersecurity One of the most pressing challenges in securing AI-powered systems is the rise of adversarial AI.…”

Section: Future Directions and Challenges In Securing Ai-powered Systemsmentioning

confidence: 99%

“…New threats will emerge, technologies will advance, and regulatory frameworks will evolve. However, by fostering a deep understanding of the theoretical foundations and cultivating a proactive mindset towards practical solutions, we can adapt and confront the challenges posed by AI-driven cybersecurity threats, ensuring a safer and more secure digital future for all (Tao, et al, 2021;Walters, and Novak, 2021).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Future Directions and Challenges In Securing Ai-powered Systemsmentioning

confidence: 99%

Section: Introductionmentioning

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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“…The whole process of educating people is to design the key points and measures of education according to the different stages, angles, levels, and characteristics of students and to integrate the content of education into all aspects of personnel training. Allround education is to achieve full coverage in space by expanding the dimension of education, taking the allround development of students as the foundation, closely following the people realizing the ultimate goal of educating people for the party and cultivating talents for the country [18]. Ultimately, the combined efforts of all personnel will form a scientific and systematic guiding ideology for education.…”

Section: State Of the Artmentioning

confidence: 99%

Exploration of the Ideological and Political Elements of Artificial Intelligence Courses under the Background of Three Comprehensive Education

Cao

Jian-rong

2023

Wireless Communications and Mobile Computing

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“Three comprehensive education” is an important measure and mechanism to build a big ideological and political pattern, condense various educational resources, and realize the fundamental goal of morality and cultivating people under the new situation. Curriculum ideology and politics are an effective way for universities to “three comprehensive education,” combining professional construction and curriculum characteristics, grasping the law of students’ growth and talent, and clarifying the direction of education. Curriculum ideology and politics are not only the specific practice of “three comprehensive education” but also the specific embodiment of implementing the goal of morality and talent cultivation. The “three comprehensive education” and the curriculum ideology and politics are organically integrated, represent each other, and complement each other. “Three comprehensive education” grasps the direction of education from a macro perspective, and the practice the education policy from a mesoscopic perspective. The research and exploration under the pattern of “three comprehensive education” effectively promote the supply-side structural work in universities. Pertinence and effectiveness, building a macro, meso-, and micro integrated education system, provide new ideas, new ways, and new methods. In this paper, by discussing the relevant theoretical knowledge of three complete education educating people, the intelligent image recognition algorithm is used to intelligently identify the classroom behavior of teachers and students. Combining intelligent image analysis with educational scenarios not only achieves high accuracy of action recognition in classroom scenarios. According to the process of behavior and action classification and recognition, the system is divided into three steps for research: video-based motion target positioning, human behavior and action feature extraction, and human behavior and action recognition and classification.

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“…Cyberspace is a digital space that creates a way for computers to connect with each other or with other electronic devices within the Internet of Things environment [8][9][10]. It utilizes artificial intelligence techniques to protect its data against any wrong operations [11][12][13]. Figure 1 illustrates the cyber threats that institutions may face in the digital environment.…”

Section: Introductionmentioning

confidence: 99%

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

2023

ijcsm

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Today, cybersecurity is considered one of the most noteworthy topics that are circulated frequently among companies in order to protect their data from hacking operations. The emergence of cyberspace contributed to the growth of electronic systems. It is a virtual digital space through which interconnection is established between computers and smartphones connected within the Internet of Things environment. This space is critical in building a safe digital environment free of threats and cybercrime. It is only possible to make a digital environment with the presence of cyberspace, which contains modern technologies that make this environment safe and far from unauthorized individuals. Cybersecurity has a wide range of challenges and obstacles in performance, and it is difficult for companies to face them. In this report, the most significant practices, sound, and good strategies will be studied to stop cybercrime and make a digital environment that guarantees data transfers between electronic devices safely and without the presence of malicious software. This report concluded that the procedures provided by cybersecurity are required and must be taken care of and developed.

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The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

Cited by 28 publications

References 67 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

Exploration of the Ideological and Political Elements of Artificial Intelligence Courses under the Background of Three Comprehensive Education

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

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