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Seeing Like a Data Structure

Schneier on Security

We are about to find out, as we begin to see the world through the lens of data structures. This is what life is like when we see the world the way a data structure sees the world. Nearly every university’s curriculum immediately introduces these students to data structures.

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ZLoader Malware adds Zeus’s anti-analysis feature

Security Affairs

After a hiatus of almost two years, Zloader reappeared with new obfuscation techniques, domain generation algorithm (DGA), and network communication. ” Zscaler observed that Zloader’s method of storing installation data to evade detection shows similarities to Zeus version 2.0.8, “The latest version, 2.4.1.0,

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News URSNIF variant doesn’t support banking features

Security Affairs

The communication protocol used by LDR4 is quite similar to the protocol used by the older RM3 variant. that were embedded into the binary the LDR4 variant introduces a new data structure for storing joined files. The post News URSNIF variant doesn’t support banking features appeared first on Security Affairs.

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Hackers are again attacking Portuguese banking organizations via Android Trojan-Banker

Security Affairs

This service also defines the data structure used and which stores information about the victim later sent to C2, as well as additional validations on the mobile device. He is also a founding member and Pentester at CSIRT.UBI and founder of the security computer blog seguranca–informatica.pt. Pierluigi Paganini.

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What is metadata management and why is it important?

Collibra

You can also trace back many data quality problems to metadata. And as a CEO of an energy company states, “quality metadata makes everything we do easier, from internal communications to planning new applications to making better decisions.”. Metadata users and metadata creators collaborate to improve data quality and data usability.

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Five benefits of a data catalog

IBM Big Data Hub

For example, imagine business analyst Alex is working on a data analytics project to help her retail company better quantify the success of shoe sales versus jewelry sales. A business glossary to explain the business terms used within a data asset. She also wants to predict future sales of both shoes and jewelry.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.