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Welcome to day two of the Akamai Platform Update! Today, we're focusing on Akamai's edge delivery products as well as other complimentary products that help drive great digital experiences. The last several months have been nothing short of unprecedented as lockdowns, quarantines, and other protective measures enacted by governments and organizations drove a sudden and dramatic shift in user behavior, which in turn has driven enormous traffic levels. Akamai's importance has never been more evident as companies continue to rely on the intelligent edge platform to maintain business continuity and support the unprecedented traffic demand from online audiences. Regardless of the type of content, be it websites, apps, APIs, video, software, or smaller objects, Akamai's comprehensive set of content delivery products -- including Ion, Adaptive Media Delivery, and Download Delivery -- are designed to deliver great digital experiences for every user, regardless of location, device, or network.

The October 2020 release marks the culmination of a large number of updates to mPulse, Akamai's real user monitoring (RUM) solution:

According to a 2020 State of the Cloud Report, 61% of organizations plan to focus on cloud migration this year and 93% have a multi-cloud strategy. This means that on average your organization is using 2.2 public clouds, multiplying your complexity and costs.

Next year is shaping up to be a big one for live streaming. Typically characteristic of even years, when many major international sporting events take place, 2021 looks like it could defy the trend. Akamai is predicting an unprecedented surge in live streaming that will start in late 2020 and continue throughout 2021. During this stretch, we could realistically see 50 million people concurrently streaming a single live event. That's roughly double the largest number of viewers we've seen during a single event in the past. With this in mind, Akamai has used much of 2020 to prepare new capabilities included in the Akamai Platform Update that will help customers prepare for this surge in live streaming.

第一次打final 被打的头都炸了，555555。过去三周了，还是水一下这道签到题。

题目情况

作者搞到了一个ruby的

博客长草严重，上半年摸鱼太久。最近趁着有空开始复现之前的一些题目，这次做了2020RCTF的几道pwn题，本来还想着把MIPS那道题做出来再发，结果发现MIPS的调试还有很多问题，所以就先发常规一点的题。

As campaigns and digital experiences become more individualized, they can create a challenge for delivering content to consumers at the highest velocity. Having each paid search, social media, and email marketing campaign add unique query string parameters to requests is critical for tracking the ROI of a company's marketing spend. This pursuit of granular user data can place a stubborn limit on the ability of B2C companies to maximize the benefits of cached content -- particularly in terms of maximizing offload of content delivery.

受到摸鱼和各种项目压力之后，终于发出来了，这次是强网杯中强网先锋的4道pwn题，剩下的pwn题还在陆续复现ing，在做了在做了ing

Welcome to the Akamai October 2020 Update - a week of product updates, new features, and innovations. We'll be highlighting a different area of our portfolio each day this week. In today's post, we look at our enhanced edge computing capabilities and how they help developers more effectively and rapidly improve customer experiences on the Akamai platform.

This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts.

• Overview: How Husky AI was built, threat modeled and operationalized
• Attacks: The attacks I want to investigate, learn about, and try out

We talked about creating adversarial examples and “backdoor images” for Husky AI before. One thing that we noticed was that an adversary with model access can very efficiently come up with adversarial examples.

前几周用到的溯源技巧。

前几周用到的溯源技巧。

前几周用到的溯源技巧。

基于亚马逊S3\阿里云OSS\腾讯COS通信隧道的远程管理工具

基于亚马逊S3\阿里云OSS\腾讯COS通信隧道的远程管理工具

基于亚马逊S3\阿里云OSS\腾讯COS通信隧道的远程管理工具

Excited to announce that I will be presenting at Grayhat - Red Team Village on October 31st 2020. The presentation is about my machine learning journey and how to build and break a machine learning system.

If you follow my blog, you can guess that there will be lots of discussion around “Husky AI”. The bits and pieces that make up a machine learning pipeline, and how to threat model such a system.

As the use of mobile devices continues to skyrocket worldwide, a new danger is silently emerging against consumers. This article delves into the deep end of how the proliferation of mobile devices is impacting consumer security

The post Proliferation of Mobile Devices: The Impact on Consumer Security appeared first on McAfee Blog.

理解切面防御的关键在于明白它不是安全防御的目标，而是建设的过程和手段。