The Future of Cybersecurity: Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Cyberspace
The Future of Cybersecurity: Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Cyberspace
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网络安全的未来：人工智能、机器学习和深度学习在网络空间中的主要作用
DOI：
10.1007/978-981-10-8681-6_67
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
T. A. A. Kumar
中科院分区：
文献类型：
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作者：
B. Geluvaraj;P. M. Satwik;T. A. A. Kumar
人工智能（AI），特别是机器学习（ML）和深度学习（DL）近年来发展迅速，现在已经开始真正影响人们所从事的社区和职业的各个方面。这种增长得益于计算能力的进步，加上算法和网络安全方面的进展，也不例外。人工智能是“计算机科学的一个领域，它致力于赋予机器看起来像天生聪明的能力。”基于人工智能的系统，有时也被称为认知系统，正在帮助我们实现许多工作的自动化，并解决大多数人类无法解决的复杂问题。新一代的恶意软件和网络攻击很难用传统的网络安全程序检测到。它们随着时间的推移而发展，因此需要更有力的方法。这些安全问题的解决方案依赖于ML使用来自早期攻击的数据来响应较新的攻击。人工智能系统在网络安全方面的另一个显著优势是，它们将为IT员工节省大量时间。人工智能最常用于检测威胁和攻击。这些系统的开发方式必须能够对自己的情况迅速采取行动。人工智能系统在完成任务时不会出错。因此，每个威胁都以最有效和最适当的方式回应。在未来的日子里，网络空间的国际冲突将会迅速增加。这可能包括对基础设施和公用事业的攻击，以及破坏政府和金融机构、银行、媒体、执法和司法等传统社会机构的正常运作。因此，将网络安全作为本文的一个问题，让我们看到AI， ML和DL在未来避免网络犯罪方面的挑战和作用。
Artificial intelligence (AI), and in particular machine learning(ML), deep learning (DL) has seen huge pace in recent years and is now set to really start influencing all aspects of community and occupations in which people are engaged. This growth has been charged the advancement in computing power, combined with headway in algorithms and cybersecurity is no exception. AI is “an area of computer science that deals with giving machines the ability to look like they have natural brilliance.” Systems which are based on AI, sometimes called as cognitive systems, are helping us automate many jobs and gear up difficulties which are more complex than most humans are capable of solving. New generations malware and cyber-attacks can be difficult to detect with traditional cybersecurity procedures. They develop over time, so more vigorous approaches are necessary. Solutions for these problems in security rely on ML use data from earlier attacks to respond to newer. Another significant advantage of AI systems in cybersecurity is that they will free up a huge amount of time for IT employees. AI is most commonly used to detect threats and attacks. The systems are developed in a such a way that it must be able to act quickly to the situation on its own. And AI systems do not make errors in completing their tasks. So each threat is responded in the most effective and proper way. In future days, there will be a rapid increase of an international clash in cyberspace. This may include attacks on infrastructure and utilities, as well as damaging normal operations of government and financial bodies, traditional society institutions such as banks, press, law enforcement, and judicial. So taking the cybersecurity as an issue for this paper and let us see the challenges and what is the role of AI, ML, and DL in avoiding cybercrime in future.