Facebook killed the blog stars!

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Social network is not a trend anymore… it is a fact! Almost 9 in 10 iPhone/iPad/iPod Touch users have a profile in a social network and 94% of them use Facebook. However, other social media platforms do not have similar results. Only 17% of our users have a blog and two-thirds do not even participate in blogs!

Technology

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This document discusses using simulated annealing (SA) as an algorithm to optimize portfolios by finding optimal combinations of risk and return. SA is presented as an alternative to gradient search methods which tend to get stuck in local optima. The SA algorithm begins with a random portfolio and iteratively explores neighboring portfolios to search for better risk-return metrics. It allows for some probability of accepting worse portfolios to avoid local optima. Step-by-step instructions are provided for implementing an SA algorithm along with an example application to optimizing a credit default swap portfolio. The SA approach is shown to outperform a greedy search algorithm in finding superior risk-return portfolios.

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In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Removing Uninteresting Bytes in Software Fuzzing

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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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