Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency

This feed contains multiple networking and security papers. Most notable: AndroScanner presents an automated static+dynamic pipeline (apktool, Androguard, Frida, APIFuzzer) for extracting backend API usage from Android apps and vetting against the OWASP API Security Top 10; it found and responsibly disclosed a previously unreported zero-day “Excessive Data Exposure” backend vulnerability in a production recruitment app. Other security-relevant works include MLDAS, a framework for dynamic ML-algorithm selection in SDN-based intrusion detection (introduces risks around model selection, poisoning