DNS abuse: Advice for incident responders

What DNS abuse techniques are employed by cyber adversaries and which organizations can help incident responders and security teams detect, mitigate and prevent them? The DNS Abuse Techniques Matrix published by FIRST provides answers. The Domain Name …

March 1, 2023
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Cyberwar Lessons from the War in Ukraine

The Aspen Institute has published a good analysis of the successes, failures, and absences of cyberattacks as part of the current war in Ukraine: “The Cyber Defense Assistance Imperative ­ Lessons from Ukraine.”

Its conclusion:

Cyber defense assistance in Ukraine is working. The Ukrainian government and Ukrainian critical infrastructure organizations have better defended themselves and achieved higher levels of resiliency due to the efforts of CDAC and many others. But this is not the end of the road—the ability to provide cyber defense assistance will be important in the future. As a result, it is timely to assess how to provide organized, effective cyber defense assistance to safeguard the post-war order from potential aggressors…

February 23, 2023
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Attacking Machine Learning Systems

The field of machine learning (ML) security—and corresponding adversarial ML—is rapidly advancing as researchers develop sophisticated techniques to perturb, disrupt, or steal the ML model or data. It’s a heady time; because we know so little about the security of these systems, there are many opportunities for new researchers to publish in this field. In many ways, this circumstance reminds me of the cryptanalysis field in the 1990. And there is a lesson in that similarity: the complex mathematical attacks make for good academic papers, but we mustn’t lose sight of the fact that insecure software will be the likely attack vector for most ML systems…

February 6, 2023
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