Fears are raised about cyber bioterrorists, there’s a widespread blackout for IoT devices caused by a cloud cock-up, and what role do strippers play in a revamp of the United States’s computer crime laws?
All this and much more is discussed in the latest edition of the award-winning “Smashing Security” podcast by computer security veterans Graham Cluley and Carole Theriault, joined this week by Mark Stockley.
And don’t miss our featured interview with Steve Salinas of Deep Instinct, discussing ransomware.
Smashing Security #207: 'Cyber biowarfare, giant ladybugs, and strippers'
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Graham Cluley – @gcluley
Carole Theriault – @caroletheriault
Mark Stockley – @MarkStockley
- Smashing Security's Christmas 2020 live stream — Join us on YouTube on Thursday 17 December.
- Increased cyber-biosecurity for DNA synthesis — Nature Biotechnology.
- New cyber-biological attack can trick biologists into generating dangerous toxins — News Medical Life Sciences.
- Screening Framework Guidance for Providers of Synthetic Double-Stranded DNA — Department of Health and Human Services (PDF).
- AWS: Amazon web outage breaks vacuums and doorbells — BBC News.
- The Supreme Court will finally rule on controversial US hacking law — Ars Technica.
- 18 U.S. Code § 1030 – Fraud and related activity in connection with computers≈ — Legal Information Institute, Cornell University.
- Online-voting company pushes to make it harder for researchers to find security flaws — CNET.
- The Supreme Court will hear its first big CFAA case — TechCrunch.
- Response to Voatz’s Supreme Court Amicus Brief. — An open letter from the security community.
- The Queen's Gambit Netflix series — Wikipedia.
- Twitter thread by Sarah Jamie Lewis.
- Win by Segfault and other notes on Exploiting Chess Engines — Sarah Jamie Lewis.
- One-Straw Revolution — A book by Masanobu Fukuoka.
- Bed of Lies podcast — The Telegraph.
- Smashing Security merchandise (t-shirts, mugs, stickers and stuff)
- Support us on Patreon!
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Most people agree that the most effective way to reduce the cost of an attack is to prevent it from happening in the first place!
Deep Instinct strives to prevent all known and unknown threats using deep learning, making detection and response automated, fast and effective for any threat that cannot be prevented.
Check out a report by the Ponemon Institute, which studied the cost savings of adopting an efficient prevention model. Go grab it at smashingsecurity.com/deepinstinct
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