Evolution of Malware in the Digital Transformation Age

Shahid Alam
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Abstract

As corporations are stepping into the new digital transformation age and adopting leading-edge technologies such as cloud, mobile, and big data, it becomes crucial for them to contemplate the risks and rewards of this adoption. At the same time, the new wave of malware attacks is posing a severe impediment in implementing these technologies. This chapter discusses some of the complications, challenges, and issues plaguing current malware analysis and detection techniques. Some of the key challenges discussed are automation, native code, obfuscations, morphing, and anti-reverse engineering. Solutions and recommendations are provided to solve some of these challenges. To stimulate further research in this thriving area, the authors highlight some promising future research directions. The authors believe that this chapter provides an auspicious basis for future researchers who intend to know more about the evolution of malware and will act as a motivation for enhancing the current and developing the new techniques for malware analysis and detection.
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数字转型时代恶意软件的演变
随着企业步入新的数字化转型时代,采用云、移动和大数据等前沿技术,对他们来说,考虑这种采用的风险和回报变得至关重要。与此同时,新一波恶意软件攻击正在对这些技术的实施构成严重障碍。本章讨论了困扰当前恶意软件分析和检测技术的一些复杂性、挑战和问题。讨论的一些关键挑战是自动化、本机代码、混淆、变形和反逆向工程。本文提供了解决其中一些挑战的解决方案和建议。为了促进这一蓬勃发展的领域的进一步研究,作者强调了一些有前途的未来研究方向。作者认为,本章为未来想要进一步了解恶意软件演变的研究人员提供了一个良好的基础,并将成为加强现有和开发新的恶意软件分析和检测技术的动力。
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