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2021 网络威胁预测报告 - FortiGuard(英文版).pdf

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1、Cyber Threat Predictions for 2021 An Annual Perspective by FortiGuard Labs WHITE PAPER 2 Introduction Each year at this time, we take a look at trends across the technology landscape to predict emerging security issues, whether just around the corner or further afield. Predicting security threat tre

2、nds may seem like more art than science, but the reality is that combining a strong understanding of how threats develop and what sorts of technologies cyber criminals gravitate toward (both to use and to exploit) with evolving business trends and strategies helps make predictions a reasonably strai

3、ghtforward process. However, this also requires having spent years identifying and assessing cyber-criminal activities and behaviors, working closely with law enforcement to track down and catch criminals, and building strategies designed to thwart malicious activity. And the cybersecurity threat re

4、searchers at FortiGuard Labs have spent the last 20 years doing just that. While some of the details may change, attack patterns, criminal behaviors, and objectives are relatively constant when seen through the lens of experience. Mapping these predictable behaviors against technology trends yields

5、critical insights into the sorts Threat actors are shifting significant resources to target and exploit emerging network edge environments, such as remote workers and the cloud. of things organizations need to be preparing for if they want to protect their connected resources from tomorrows cyberatt

6、acks. These include the theft of data and intellectual property, evolving ransomware techniques, device compromise, social engineering, and other looming digital threats. Over the past several years, this annual predictions report has touched on such issues as the evolution of ransomware, the risks

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本文是FortiGuard实验室发布的2021年网络威胁预测白皮书,主要内容包括: 1. 网络边缘环境(如远程工作者和云服务)成为网络犯罪分子的新目标,他们利用这些环境进行数据和知识产权盗窃、勒索软件攻击、设备入侵和社会工程等。 2. 人工智能(AI)和机器学习(ML)技术的发展,使得网络犯罪分子能够更有效地利用边缘设备进行数据处理和攻击。 3. 5G技术的发展将使网络犯罪分子能够利用蜂群智能进行更复杂的攻击,如分布式拒绝服务(DDoS)攻击和基于AI的攻击。 4. 勒索软件将继续发展,犯罪分子将利用公开发布被盗数据和威胁公开敏感信息等手段迫使受害者支付赎金。 5. 量子计算的发展将对现有的加密算法构成威胁,因此需要开发量子抗性算法来保护数据和通信的安全。 6. 组织需要采取主动防御措施,建立有效的网络安全策略,并与公共部门紧密合作,以应对日益复杂的网络威胁。
2021年网络威胁预测有哪些新趋势? 远程工作和云计算如何成为网络攻击的新目标? 量子计算对网络安全有何潜在影响?
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