2024 Passwordless Authentication- Step by Step guide
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
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- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Removing Uninteresting Bytes in Software Fuzzing
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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2024 Passwordless Authentication- Step by Step guide
- 1. All images generated through Generative AI
- 2. All images generated through Generative AI In 2024 Bid goodbye to traditional Passwords
- 3. Vulnerability to hacking Weak passwords Frequent Password resetting All images generated through Generative AI
- 4. Authentication without the need for traditional passwords Emphasize various methods like bio metrics, hardware tokens, and authentication apps All images generated through Generative AI
- 5. Improved security: Reduce hacking risks and eliminate password-related vulnerabilities Enhanced user experience: Convenience and ease of use Lower operational costs: Reduced password management and reset requests All images generated through Generative AI
- 6. Assess current security infrastructure Choose suitable password less authentication methods Pilot test with a small group Full-scale implementation and user education/training All images generated through Generative AI
- 7. Integration across various devices and platforms Continuous innovation in authentication methods Increased acceptance and normalization of password less security All images generated through Generative AI
- 8. Evaluate: Assess current systems and security requirements Choose Method: Select the appropriate password less authentication methods Integration: Integrate chosen methods with existing systems Testing: Conduct thorough testing and verification All images generated through Generative AI
- 9. Training: Train users on the new authentication process Roll out: Implement password less authentication gradually or as a pilot
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