In October 2021, the U.S. Department of Justice launched the Civil Cyber-Fraud Initiative leveraging the federal False Claims Act (FCA) to address cybersecurity-related fraud by government contractors. According to the announcement from Deputy Attorney General Lisa O. Monaco, the initiative seeks to “hold accountable entities or individuals that put U.S. information or systems at risk by knowingly providing deficient cybersecurity products or services, knowingly misrepresenting their cybersecurity protocols, or knowingly violating obligations to monitor and report cybersecurity incidents and breaches.” This announcement follows DOJ’s cyber review conducted in response to President Biden’s “Executive Order on Improving the Nation’s Cybersecurity” issued in May 2021 strengthen the government’s ability to respond to cybersecurity attacks and improve national cybersecurity. This initiative represents a significant shift in focus for the DOJ. Historically, the DOJ’s anti-fraud cyber work had focused more on hackers and foreign cyber-security threats which unlawfully access private networks to steal data. Successful prosecution has required cooperation from impacted companies, including government contractors targeted by hackers. The initiative now intensifies scrutiny on these same government contractors in the cybersecurity space by increasing their liability under the FCA if they fail to meet cyber-security contracting requirements. This shift to increase potential contractor accountability and liability may affect the collaborative approach that the DOJ has historically relied upon in its pursuit of cyber criminals. Key Aspects of the Civil Cyber-Fraud Initiative In a recent address, the DOJ has identified at least three common cyber-security failures that are prime candidates for potential False Claims Act enforcement against government contractors through this initiative: Knowing failure to comply with contractual cyber-security standards. Government contractors are required to...
You’re only as strong as your weakest link, and unfortunately, with cyber security, it only takes one weak link to bring down an entire infrastructure. But communicating cyber security is a challenge many IT managers face. Not only do non-tech-savvy people find cyber security boring, but they also don’t realize the massive threat weak security poses. You need an easy way to educate your staff en masse and share cyber security tips; a way that grabs your staff’s attention and helps them retain what you teach them. With videos, you can feel confident that people are actually listening to—and retaining—your cyber security tips. As a bonus, videos are easier to put together than training manuals (and more enjoyable to consume)! Why you should use videos to communicate cyber security tips with staff When it comes to communicating cyber security tips with staff, you need a way to train your team and teach them the importance of staying safe online. If you rely on text-heavy materials—like training manuals—to deliver crucial information, you risk your audience ignoring the information you’re sending them. After all, how many people do you know who wake up in the morning hoping to pour over a thick cyber security training manual? Chances are, most people aren’t as enthusiastic about cyber security as you are. So what’s the solution? Since over training manuals, videos are the ideal medium to communicate cyber security tips. We have two easy ideas for you: Create long-form webinars that contain in-depth information. Host them several times throughout the year and encourage staff to watch. Create a training series that you send out...
Introducing FugueSQL — SQL for Pandas, Spark, and Dask DataFrames An End-To-End SQL Interface for Data Science and Analytics As a data scientist, you might be familiar with both Pandas and SQL. However, there might be some queries, transformations that you feel comfortable doing in SQL instead of Python. Wouldn’t it be nice if you can query a pandas DataFrame like below: … using SQL? Or use a Python function within a SQL query? That is when FugueSQL comes in handy. What is FugueSQL? FugueSQL is a Python library that allows users to combine Python code and SQL commands. This gives users the flexibility to switch between Python and SQL within a Jupyter Notebook or a Python script. To install FugueSQL, type: To run on Spark or Dask execution engines, type: In this article, we will explore some utilities of FugueSQL and compare FugueSQL with other tools such as pandasql. FugueSQL in a Notebook FugueSQL comes with a Jupyter notebook extension that allows users to interactively query DataFrames with syntax highlighting. To use it, import the setup function from fugue_notebook to register the%%fsql cell magic. This is only available on classic notebooks for now (not available on JupyterLab). To understand how the%%fsql cell magic, let’s start with creating a pandas DataFrame: Now, you can query like how you would normally do in SQL by adding the %%fsql at the beginning of the cell. In the code above, only PRINT does not follow standard SQL. This is similar to the pandas head() and Spark show() operations to display a number of rows. Operations such as GROUP BY are similar to...
Cyber-attacks against Estonia in 2007 pushed Estonia at the front line of cyber security. One of the results of this cyber-warfare was the wide acknowledgment that cyber security knowledge and skills are part of the information society’s blood circulation. Today we can report that the Centre for Digital Forensics and Cyber Security at TalTech provides the highest level of cyber security education…starting from first-graders! Arena for strong cooperation with the world’s best In general, TalTech’s Department of Software Science, especially its Centre for Digital Forensics and Cyber Security, is materializing the ambition to be the best provider of cyber security bachelor, master’s, and doctoral education in the Nordic countries and the Baltics. Several factors support it: Estonia’s history in leading the mindset that cyber security must grow along with the digitalization of the society; establishment of NATO Cooperative Cyber Defence Centre of Excellence in Tallinn; support from the Estonian Ministry of Defence and a vast network of enterprises that are developing top-end cyber security solutions. Through cooperation with this capable network, the Center can provide each student with the knowledge and skills necessary to excel in cyber security jobs in Estonia and elsewhere. For example, when this article is published, the annual NATO cyber security exercise Locked Shields, the world’s largest of its kind, is taking place in Estonia with students, professors and professionals engaged. Professor Rain Ottis, Head of the Centre for Digital Forensics and Cyber Security, stresses the strength of this cooperation: “Cyber security requires a holistic approach that covers people, processes, as well as technology. To ignore even one of the three is inviting disaster. Therefore, we tackle the topic from the...
The Australian High Commissioner, Jon Philp, presented the certificates Australian government being the enabling partner of the program. This course was made possible by an MOU between Australia-PNG Government partnerships, which was executed in 2018. Department of Information and Communication Technology Secretary, Steven Matainaho said under the MoU for Cyber Security signed by the two governments almost five years ago, further assistance was given by the Australian government to operationalize the National Cyber Security Shelter project. That project offered awareness and training primarily to IT Managers and IT officers within the Public Sector. “Quite a lot of recipients passed through but today was just a day to acknowledge those that actually completed the programme. The programme consist of Tier 1 & Tier 2 in Cyber Security. That is analyst training and basics of not only IT only, but Cyber Security Functions and its role within the IT space,” Mr Matainaho said. Key stakeholders involved in the Cyber Security include the Office of Security and Coordination Assessment under the Department of PM, with support from National ICT Authority as the regulator and of course the ICT Department. It was an event also to recognize the partnership between Australia and PNG. Australian High Commissioner, Jon Philp emphasized on the relevance and importance of cyber security in the country and the world. “It’s a really important partnership for us in cyber security. It’s important to remember why it’s important, not just in your careers and your jobs but the lives of our country and in fact the lives of millions of people.” Philp said. High Commissioner Philp emphasized the practicality of Cyber...
The 7 R Packages You Should Be Using for Data Visualisation With example code and free datasets “It’s not what you do, it’s how you do it.” ― Cheri Huber, Suffering Is Optional: Three Keys to Freedom and Joy Having data but not knowing how to visualise it is what I call self-inflicted suffering. So, like Cheri said, there are 3 keys to freedom and joy — my take on it — Data + R + these 7 R packages. The Data The 7 (Nonfatal) R Packages Let’s start with the original library that makes R the best language for visualisation — ggplot2. I am making use of a dataset from Kaggle, which you can find here (Sustainable Development Solutions Network, 2019, License CC0: Public Domain). The data looks at the state of global happiness: Code An extension library to ggplot2 is called ggforce, which was developed by Thomas Pedersen. It has the added functionality of highlighting different groups and their specific features in your data, helping you to tell your story more effectively. You can see some ggforce examples here. 2. ColourPicker Don’t waste time googling the hex codes for the colours you want to use— Rather make use of ColourPicker! This is particularly useful if you are required to stick to a customized colour palette. See the demo below: Here is the code I used in the demo: If you would like to read more about creating custom palettes, see an article I wrote here. 3. Esquisse Have the data but not sure how to visualise it? Or, not sure how to write the code in R?...
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