On the Study of Biometric Spoofing Detection Using Deep Learning

Biometric systems are increasingly deployed in security applications; however, they remain vulnerable to spoofing attacks, in which attackers exploit counterfeit biometric data to gain unauthorized access. This research evaluates the effectiveness of state-of-the-art machine learning models,...

Adversarial Threats in Quantum Machine Learning: a Survey of Attacks and Defenses

Quantum Machine Learning QML integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid development raises critical security challenges in the Noisy Intermediate-Scale Quantum NISQ era. This chapter examines...

Global Traffic Management for Cloud, Data Centers, and CDNs

Twenty years ago it would be common to have multiple data centers load balanced with specialized devices. The applications in multiple data centers would use the Domain Name System DNS to look up the application destination. The DNS system would be set up to with multiple data center locations...

Akamai 2018 Spring Release, In A Nutshell

Progressing Towards Our Future in The Cloud, Together As organizations continue to fuel and execute on their digital transformation ambitions, they're increasingly finding significant business agility and cost savings by adopting cloud, multi-cloud, or hybrid architectures. Availability, security...