论文标题
网络安全:过去,现在和未来
Cybersecurity: Past, Present and Future
论文作者
论文摘要
数字转换创造了一个新的数字空间,称为网络空间。这个新的网络空间改善了个人,组织,政府,社会,整个社会和个人日常生活的运作。随着这些改进的发展,新的挑战之一是安全挑战之一。新网络空间的安全性称为网络安全。网络空间创建了新的技术和环境,例如云计算,智能设备,物联网等。为了跟上网络技术的这些进步,需要扩大研究并开发新的网络安全方法和工具来保护这些领域和环境。这本书是为了向读者介绍网络安全领域,突出当前的问题和挑战,并提供减轻或解决它们的未来方向。本书涵盖的网络安全的主要专业是软件安全性,硬件安全性,恶意软件,生物识别技术,网络智能和网络取证的演变。我们必须从过去学习,发展现在并改善未来。基于这一目标,该书涵盖了这些网络安全主要专业的过去,现在和未来。该书还研究了网络智能研究的即将到来的研究领域,例如混合动力增强和可解释的人工智能(AI)。人类和人工智能协作可以显着提高网络安全系统的性能。解释和解释机器学习模型,即可解释的AI是一个新兴的研究领域,并且具有改善AI在网络安全中作用的许多潜力。
The digital transformation has created a new digital space known as cyberspace. This new cyberspace has improved the workings of businesses, organizations, governments, society as a whole, and day to day life of an individual. With these improvements come new challenges, and one of the main challenges is security. The security of the new cyberspace is called cybersecurity. Cyberspace has created new technologies and environments such as cloud computing, smart devices, IoTs, and several others. To keep pace with these advancements in cyber technologies there is a need to expand research and develop new cybersecurity methods and tools to secure these domains and environments. This book is an effort to introduce the reader to the field of cybersecurity, highlight current issues and challenges, and provide future directions to mitigate or resolve them. The main specializations of cybersecurity covered in this book are software security, hardware security, the evolution of malware, biometrics, cyber intelligence, and cyber forensics. We must learn from the past, evolve our present and improve the future. Based on this objective, the book covers the past, present, and future of these main specializations of cybersecurity. The book also examines the upcoming areas of research in cyber intelligence, such as hybrid augmented and explainable artificial intelligence (AI). Human and AI collaboration can significantly increase the performance of a cybersecurity system. Interpreting and explaining machine learning models, i.e., explainable AI is an emerging field of study and has a lot of potentials to improve the role of AI in cybersecurity.