We introduce a multi-layer silicon photonic microring resonator filter, fabricated using deposited materials, and transmit
up to 12.5-Gb/s error-free data, establishing a novel class of high-performance silicon photonics for advanced photonic
NoCs. Furthermore, by leveraging deposited materials, we propose a novel fully-integrated scalable photonic switch
architecture for data center networks, sustaining nonblocking 256×256 port size with nanosecond-scale switching times,
interconnecting 2,560 server racks with 51.2-Tb/s bisection bandwidth.
Current practices for combating cyber attacks typically use Intrusion Detection Systems (IDSs) to detect and block multistage
attacks. Because of the speed and impacts of new types of cyber attacks, current IDSs are limited in providing
accurate detection while reliably adapting to new attacks. In signature-based IDS systems, this limitation is made apparent
by the latency from day zero of an attack to the creation of an appropriate signature. This work hypothesizes that this
latency can be shortened by creating signatures via anomaly-based algorithms. A hybrid supervised and unsupervised
clustering algorithm is proposed for new signature creation. These new signatures created in real-time would take effect
immediately, ideally detecting new attacks. This work first investigates a modified density-based clustering algorithm as
an IDS, with its strengths and weaknesses identified. A signature creation algorithm leveraging the summarizing abilities
of clustering is investigated. Lessons learned from the supervised signature creation are then leveraged for the development
of unsupervised real-time signature classification. Automating signature creation and classification via clustering is
demonstrated as satisfactory but with limitations.