On the integration of blockchain and sdn: Overview, applications, and future perspectives
Blockchain (BC) and software-defined networking (SDN) are leading technologies which
have recently found applications in several network-related scenarios and have …
have recently found applications in several network-related scenarios and have …
Service Function Chaining security survey: Addressing security challenges and threats
Abstract Service function chaining (SFC) is a trending paradigm and it has attracted
considerable attention from both the industry and academia because of its potential to …
considerable attention from both the industry and academia because of its potential to …
FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks
Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
Spike2vec: An efficient and scalable embedding approach for covid-19 spike sequences
S Ali, M Patterson - 2021 IEEE International Conference on Big …, 2021 - ieeexplore.ieee.org
With the rapid global spread of COVID-19, more and more data related to this virus is
becoming available, including genomic sequence data. The total number of genomic …
becoming available, including genomic sequence data. The total number of genomic …
PWM2Vec: An efficient embedding approach for viral host specification from coronavirus spike sequences
Simple Summary The family of coronaviruses comprises a diverse set of strains and variants
which cause diseases from the common cold to COVID-19. Moreover, they infect a wide …
which cause diseases from the common cold to COVID-19. Moreover, they infect a wide …
A k-mer Based Approach for SARS-CoV-2 Variant Identification
With the rapid spread of the novel coronavirus (COVID-19) across the globe and its
continuous mutation, it is of pivotal importance to design a system to identify different known …
continuous mutation, it is of pivotal importance to design a system to identify different known …
Effective and scalable clustering of SARS-CoV-2 sequences
SARS-CoV-2, like any other virus, continues to mutate as it spreads, according to an
evolutionary process. Unlike any other virus, the number of currently available sequences of …
evolutionary process. Unlike any other virus, the number of currently available sequences of …
Robust representation and efficient feature selection allows for effective clustering of sars-cov-2 variants
The widespread availability of large amounts of genomic data on the SARS-CoV-2 virus, as
a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze …
a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze …
Efficient approximate kernel based spike sequence classification
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of
sequences, require a definition of distance/similarity between pairs of sequences. Several …
sequences, require a definition of distance/similarity between pairs of sequences. Several …
On-the-fly (D) DoS attack mitigation in SDN using Deep Neural Network-based rate limiting
Abstract Software Defined Networking (SDN) has emerged as a promising paradigm offering
an unprecedented programmability, scalability and fine-grained control over forwarding …
an unprecedented programmability, scalability and fine-grained control over forwarding …