Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Traditional Public Key Infrastructures (PKI) have not lived up to their promise because there are too many ways to define PKIs, too many cryptographic primitives to build them wi...
Chris Lesniewski-Laas, Bryan Ford, Jacob Strauss, ...
Network protocol designers, both at the physical and network level, have long considered interference and simultaneous transmission in wireless protocols as a problem to be avoide...
Aveek Dutta, Dola Saha, Dirk Grunwald, Douglas C. ...
—Measurement and monitoring of network topologies are essential tasks in current network scenarios. Indeed, due to their utility in planning, management, security, and reliabilit...
Alessio Botta, Walter de Donato, Antonio Pescap&eg...
Since the birth of ARPANET and the first commercial applications of computer networks, through explosion of popularity of the Internet and wireless communications, we have witnes...