Towards a Resilient In-Band SDN Control Channel

Towards a Resilient In-Band SDN Control Channe

Spatio-temporal patterns in acoustic presence and distribution of Antarctic blue whales Balaenoptera musculus intermedia in the Weddell Sea

© The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Endangered Species Research 30 (2016): 239-253, doi:10.3354/esr00739.Distribution and movement patterns of Antarctic blue whales Balaenoptera musculus intermedia at large temporal and spatial scales are still poorly understood. The objective of this study was to explore spatio-temporal distribution patterns of Antarctic blue whales in the Atlantic sector of the Southern Ocean, using passive acoustic monitoring data. Multi-year data were collected between 2008 and 2013 by 11 recorders deployed in the Weddell Sea and along the Greenwich meridian. Antarctic blue whale Z-calls were detected via spectrogram cross-correlation. A Blue Whale Index was developed to quantify the proportion of time during which acoustic energy from Antarctic blue whales dominated over background noise. Our results show that Antarctic blue whales were acoustically present year-round, with most call detections between January and April. During austral summer, the number of detected calls peaked synchronously throughout the study area in most years, and hence, no directed meridional movement pattern was detectable. During austral winter, vocalizations were recorded at latitudes as high as 69°S, with sea ice cover exceeding 90%, suggesting that some Antarctic blue whales overwinter in Antarctic waters. Polynyas likely serve as an important habitat for baleen whales during austral winter, providing food and reliable access to open water for breathing. Overall, our results support increasing evidence of a complex and non-obligatory migratory behavior of Antarctic blue whales, potentially involving temporally and spatially dynamic migration routes and destinations, as well as variable timing of migration to and from the feeding grounds

Comparing methods suitable for monitoring marine mammals in low visibility conditions during seismic surveys

Funding: This work was supported by the Joint Industry Programme on E&P Sound and Marine Life - Phase III. TAM was partially supported by CEAUL (funded by FCT - Fundação para a Ciência e a Tecnologia, Portugal, through the project UID/MAT/00006/2013).Loud sound emitted during offshore industrial activities can impact marine mammals. Regulations typically prescribe marine mammal monitoring before and/or during these activities to implement mitigation measures that minimise potential acoustic impacts. Using seismic surveys under low visibility conditions as a case study, we review which monitoring methods are suitable and compare their relative strengths and weaknesses. Passive acoustic monitoring has been implemented as either a complementary or alternative method to visual monitoring in low visibility conditions. Other methods such as RADAR, active sonar and thermal infrared have also been tested, but are rarely recommended by regulatory bodies. The efficiency of the monitoring method(s) will depend on the animal behaviour and environmental conditions, however, using a combination of complementary systems generally improves the overall detection performance. We recommend that the performance of monitoring systems, over a range of conditions, is explored in a modelling framework for a variety of species.Publisher PDFPeer reviewe

Portest: Port Scan Detection on Non-Programmable Switches using TCAM and Randomized Algorithm

Monitoring network traffic for detecting security events is crucial for the effective operation of intrusion detection systems (IDS). While programmable switches offer the flexibility to execute monitoring algorithms directly in the data plane, non-programmable switches lack such capabilities and traffic needs to be mirrored and processed externally, leading to scalability and performance challenges. In this paper, we present Portest, a novel algorithm that enables the detection of port scans on non-programmable switches without mirroring traffic. Portest installs a constant number of flow rules with specific stochastic properties in the Ternary Content Addressable Memory (TCAM) of the switch and uses the match counter values for detection. Our results demonstrate that Portest can efficiently detect real-world port scans on non-programmable hardware

KeLLy – Efficient, Scalable Link Layer Topology Discovery

Network infrastructures are becoming increasingly flexible and dynamic not only due to softwarization and virtualization, but also due to increasing mobility in 5G and 6G networks, which consider drones and satellites to be part of the core infrastructure. Since the network topology may change frequently, it becomes challenging to get an up-to-date view of its current state. This paper introduces KeLLy, an efficient, scalable link layer topology discovery algorithm focussing on large-scale networks (evaluated up to 100,000 nodes). KeLLy discovers various large topologies in seconds, guarantees discovery of all nodes (and a high percentage of links), while inducing low, predictable overhead by querying only a subset (4%) of nodes