At the center of the cybersecurity conversation.

The US Cyber Open CTF is for all skill levels. Beginner, Intermediate, and Advanced challenges will test your knowledge and skills in Cryptography, Forensics, Reverse Engineering/Binary Exploitation, Networking, Web, and Reconnaissance. And if you’re looking to win a spot on the next US Cyber Team, make sure to request an invitation to the US Cyber Combine.

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The Fall 2022 NCL Season will begin with the Gymnasium on August 22, 2022 and wrap up with the Team Game November 4-5, 2022

NCL hosts two Seasons every year, once in the Spring and once in the Fall, aligning to US academic calendars. All participants play the games simultaneously during Practice Game, Individual Game, and Team Game.

NCL allows players of all levels to play. Between easy, medium and hard challenges, students have multiple opportunities to really shine in areas as they excel.

Learn more about the competition.

The National Cybersecurity Training and Education (NCyTE) Center and the Centers of Academic Excellence (CAE) in Cybersecurity Community are hosting the sixth annual National Cybersecurity Virtual Career Fair (VCF), on September 16, 2022, from 9:00 am-1:00 pm PT. This event is open to students and alumni from over 380 institutions designated as Centers of Academic Excellence in Research (CAE-R), Cyber Defense (CAE-CD), and Cyber Operations (CAE-CO), and institutions in the Candidate’s Program (pending approval).

As the CAE in Cybersecurity program continues to designate new CAEs, the number of students participating in the VCF grows each year. Last year, over 1100 students and alumni participated in the virtual career fair. Many students find careers through the VCF, and many of the same employers return each year to participate.

The Fair is for CAE designated institutions students and alumni, including Excelsior

https://www.caecommunity.org/events/save-date-2022-national-cybersecurity-virtual-career-fair

The NICE Conference is the annual convening of community members and thought leaders from education, government, industry, and non-profits to explore ways of developing a skilled cybersecurity workforce ready to meet the challenges of the future. This event provides an opportunity to share best practices from around the world and across sectors in order to build the workforce we need to confront cybersecurity risks today and in years to come.
This event is hosted by Florida International University and New America, supported by the National Initiative for Cybersecurity Education (NICE), a program of the National Institute of Standards and Technology in the U.S. Department of Commerce.

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Volatility is an open-source memory forensics framework for incident response and malware analysis. The presentation is of practical nature and will involve a hands-on analysis of a memory image. The presentation will extract network information, process information, event logs, and hive registers. We will recover event logs and show how they would like at the time of the actual acquisition. Ban accounts will be recovered. We will also include hybrid malware analysis of our processes and determine which process caused the malware infection.

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Will discuss how Ransomware has become our biggest threats on the Cyber landscape and how organizations are using the Zero-Trust framework to help mitigate those threats. How can both the public and private sectors be working together to help mitigate these risks against Ransomware? Also, how are organizations using current Zero-Trust security best practices?

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The summit is designed to educate, elevate, and empower women of color technologists and techpreneurs across the nation. The global summit will take place virtually as a kick-off event for Philly Tech Week.

In keeping with our “No More Hidden Figures” mantra and in celebrating 5 years, the 2022 summit welcomes women from around the world. This years’ tracks include topics pertaining to Connectivity, Education, and Health.
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Manufacturing is not only the backbone of U.S. military technical advantage, but also a major contributor to the U.S. economy. A healthy, innovative, and vibrant manufacturing sector is essential to the economic strength and national security of the United States. The Industrial IoT, coupled with 5G, security in IIoT, machine learning and artificial intelligence, is impacting the future and growth of manufacturing. In this tech talk, we will discuss and live-demo how we use zero trust model, machine learning, and 5G to design and implement a secure smart manufacturing testbed in a lab environment. Further discussion also includes how we collaborate with the manufacturing outreach center to engage local manufacturers and show business use cases that smart factory can drive value.

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A recording of the live presentation will be available following the presentation at: https://www.caecommunity.org/resources/cae-forum-resources

In today’s environment, private sector and government executives face the constant challenge of managing the emergence of these new cyber threats. Our goal is to provide a framework for understanding the capabilities of threat actors in a future where cyber arms are the norm. Hosted by solarwinds and FCW.
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As cloud computing and data outsourcing become increasingly prevalent, the need for data privacy is critical. Homomorphic encryption allows for algorithms and analytics to be computed on outsourced encrypted data without leaking any information about the underlying plaintexts, while zero-knowledge proofs allow for data verification without revealing secret data to the other party. In this talk, the presenters will briefly introduce these two technologies and discuss state-of-the-art applications utilizing HE and ZKP. Homomorphic encryption techniques can be used to conduct private machine learning inferences on the cloud without revealing any information about user inputs. For instance, a user could encrypt a picture of a patch of skin, upload it to a cloud server, and receive an inference result indicating whether or not he has skin cancer without ever exposing the picture itself. In terms of ZKP, a user could prove that she casted her vote correctly without revealing who she voted for. This enables building secure and trustworthy electronic voting.

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Cyber competitions and capture-the-flag (CTF) events are a valuable tool for motivating and engaging students and professionals in cybersecurity and cyber operations beyond traditional education and training. Reverse engineering and binary exploitation challenges are common components of online CTFs, but the tools, techniques and procedures for performing reverse engineering and binary exploitation have a steep learning curve and are not taught in many computer science, IT, and cybersecurity degree programs. Angr is a Python framework for analyzing binaries across a number of platforms and architectures, originally developed as part of a DARPA Cyber Grand Challenge. It combines both static and dynamic, concrete and symbolic (or “concolic”) analysis to enable users to easily analyze how different inputs change the path of a program’s execution. For CTF exercises, angr allows competitors to quickly determine the correct input(s) that would satisfy a program’s constraints leading to a successful solution, thereby capturing the flag. This introductory presentation will demonstrate how angr can be used to solve CTF challenges (or find real-world vulnerabilities) in a fraction of the time required by debuggers, disassemblers, and decompilers alone.

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