Intelligent Techniques for Adaptive and Efficient FOAN

FOANFuture Optical Access Network (FOAN) Network security will be a critical quality-of-service (QoSQuality-of-Services (QoS)) issue as exabytes of data pertaining to banking, financial institutions, corporate, retail, and user personal data travel over networks. In a multi-wavelength, multichannel shared spectrum scenario, the security of individual user and corporate user data and information will be a significant challenge. In this chapter, we will discuss intelligent and efficient mechanisms, procedures, and protocols for authorizing and validating users, preventing unauthorized access to FOANFuture Optical Access Network (FOAN) and OSNOptical Sensor Networks (OSN), encrypting data quickly, monitoring network and data traffic, predicting threats to network sub-systems, and detecting, localizing, and eliminating faults. FOANFuture Optical Access Network (FOAN) will greatly benefit from machine learning (MLMachine Learning (ML)), artificial intelligence (AIArtificial Intelligence (AI)), neural networksNeural Network (NN) (ANNArtificial Neural Network (ANN)), support vector machines (SVM), Gaussian processes, network kriging-based algorithms, techniques for rapid and early detection of unauthorized access, intrusion, and network attacks, early fault/threat detection/elimination strategies, raising alarm, and chaos-based secure communication mechanisms, among others. Maintaining FOAN'sFuture Optical Access Network (FOAN) QoSQuality-of-Services (QoS) requires seamless software upgrades, auto-configuration, low latency, and maximum availability.