Introduction to Remote Spectrum Monitoring
Spectrum Monitoring for Critical Infrastructure By Brandon Malatest, Per Vices Corporation As wireless communications break its expansion banks, The post...
Month: November 2022
In Government, Secure Data Drives the Greater Good
By Carolyn Duby, Field CTO and Cybersecurity Lead, Cloudera Government Solutions As a key component of President Biden’s The post...
Attackers abused the popular TikTok Invisible Challenge to spread info-stealer
Threat actors are exploiting interest in a popular TikTok challenge, dubbed Invisible Challenge, to trick users into downloading info-stealing malware....
How the Schrems II Decision Changed Privacy Law
The impact of the Schrems II decision was essentially global, triggering a major rethink of how organizations manage compliance with...
AWS launches new cybersecurity service Amazon Security Lake
Amazon Web Services (AWS) has launched a new cybersecurity service, Amazon Security Lake, which automatically centralizes security data from cloud...
Researchers Find a Way Malicious NPM Libraries Can Evade Vulnerability Detection
New findings from cybersecurity firm JFrog show that malware targeting the npm ecosystem can evade security checks by taking advantage...
Data Privacy Protection in DeFi Protocols. (arXiv:2211.16082v1 [cs.CR])
With the development of decentralized finance (DeFi), the inherent limitations caused by the blockchain system have come to the surface....
Trustless unknown-order groups. (arXiv:2211.16128v1 [cs.CR])
Groups of unknown order are of major interest due to their applications including time-lock puzzles, verifiable delay functions, and accumulators....
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape. (arXiv:2211.16192v1 [cs.CV])
For saving cost, many deep neural networks (DNNs) are trained on third-party datasets downloaded from internet, which enables attacker to...
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape. (arXiv:2211.16192v1 [cs.CV])
For saving cost, many deep neural networks (DNNs) are trained on third-party datasets downloaded from internet, which enables attacker to...
