The 43rd IEEE Conference on Local Computer Networks (LCN), October 1-4, 2018, Chicago, USA


Accepted Demos

Application-based QoS Support with P4 and OpenFlow: A Demonstration Using Chameleon
Authors: Divyashri Bhat, Jason Anderson, Paul Ruth, Michael Zink, Kate Keahey
Abstract: Although SD-WANs are now widely deployed by several production networks, they are largely restricted to traffic engineering approaches based on layer 4 (L4) of the network protocol stack that result in improved Quality-of-Service (QoS) of the network overall without necessarily focussing on a specific application. However, the emergence of application protocols such as QUIC and HTTP/2 needs an investigation of layer 5-based (L5) approaches in order to improve users’ Quality-of-Experience (QoE). In this demonstration, we leverage the capabilities of flexible switches that incorporate protocol-independent packet processing in order to intelligently route traffic based on application headers. We use Adaptive Bit Rate (ABR) video streaming as an example to show how such an approach can not only provide flexible traffic management but also improve application QoE. Our prototype consists of an actual deployment in a research testbed, Chameleon, and a state-of-the-art orchestration and visualization tool, Jupyter, that we integrate with Chameleon in order to provide a single vantage point for SDN experimenters.

Low-cost Prototypes of IDN (ILDA Digital Network) Consumers for ILDA Laser Projector and DMX512 Service
Authors: Matthias Frank
Abstract: This demo proposal presents continued work of the Laser & Light Lab at the Institute of Computer Science 4 of the University of Bonn based on earlier demo presentations and on standardization work of the International Laser Display Association (ILDA). The ILDA Digital Network (IDN) Stream Specification has been published in 2015 as the first of a "family" of ILDA technical standards dealing with digital transmission of laser projection/picture data and stage lighting and effects data (DMX512) over local networks. The demo presents two separate prototype setups (as a combination of commercial off-the-shelf available hardware and software) for receiving IDN streams and generating the appropriate electrical control signals for Laser Projector Service (ILDA ISP-DB25) and ILDA ISP-DMX / DMX512 for laser projector effects and/or light effect devices. Each prototype is a combination of available hardware, available software (e.g. operating system, network and interface drivers) and own software dealing with IDN specific aspects and creating the required output signals for each service. The LCN demo will show these devices "in action" with a focus on monitoring the performance and output signal quality.

Decentralized Disaster Area Detection in Mobile Networks
Authors: Patrick Lieser, Nils Richerzhagen, Michal Lipinski, Clemens Krug, Tobias Meuser, Bjorn Richerzhagen, Ralf Steinmetz
Abstract: In highly developed countries information and communication technology is considered a critical infrastructure alongside other infrastructures like power and water supply or the health care system, whose absence or failure increasingly impairs the life of the affected population. Due to high interdependencies between those critical infrastructures, cascading effects occur when one of them becomes unavailable. Unresolved power blackouts, in particular, can lead to the shutdown of other infrastructures with passing time. In such situations, it is crucial to quickly determine the area affected by a blackout in order to coordinate mitigation efforts. In this work, we present algorithms that enable an autonomous analysis of the area affected by the failure of the aforementioned power supply and information and communication technologies and for spreading that information about the disaster area among the affected population. To achieve this, mobile ad hoc networks can be utilized using the mobile devices of the affected population. In this demonstration, attendees can observe the behavior of mobile nodes entering and exiting the simulated disaster area while sharing their movement history to estimate the area that is affected by the infrastructure blackout. The continuous area estimation of each node can be observed via live visualizations while the area of the blackout can dynamically increase or decrease. Additionally, the quality of the disaster area detection is shown through live plots of relevant metrics.

Demo: Mitigation of Flooding and Slow DDoS Attacks in a Software-Defined Network
Authors: Thomas Lukaseder, Shreya Ghosh, Frank Kargl
Abstract: Distributed denial of service (DDoS) attacks are a constant threat for services in the Internet. This year, the record for the largest DDoS attack ever observed was set at 1.7 Tbps. Meanwhile, detection and mitigation mechanisms are still lacking behind. Many mitigation systems require the assistance by the victim or the victim's administrator themself has to become active to mitigate attacks. We introduced a system that can detect attacks, identify attackers, and mitigate the attacks purely within the network infrastructure. With the improved flexibility of software-defined networks, new possibilities to mitigate such attacks can be implemented. In addition to our short paper on the mitigation of reflective DDoS attacks on LCN 2018 [2], we also like to demonstrate our work on mitigating flooding attacks presented at LCN 2017 [1] and our mitigation of slow DDoS attacks [3]. In our demo, we show how these systems can be combined and how they work when faced with such different attacks.

Resilient Machine-to-Machine Communication for an Information-centric Industrial IoT
Authors: Cenk Gundogan, Peter Kietzmann, Thomas C. Schmidt, Martine Lenders, Hauke Petersen, Matthias Wahlisch, Michael Frey, Felix Shzu-Juraschek
Abstract: In this demo, we showcase our lightweight Publish--Subscribe scheme HoPP based on the ICN flavour NDN. We deploy a multi-hop low-power and lossy network using constrained IoT devices operated by the RIOT operating system. An intelligent helmet is equipped with an O2 gas sensor and periodically publishes gas readings to the remote cloud system of our industrial partner. On threshold excitation, the helmet notifies an operator and the network about an alarm situation. We show that all publishings and alarm notifications eventually arrive at the cloud despite of intermittent connectivity and manually induced network disruptions in our multi-hop scenario. A sniffer device provides a live packet trace to a web-based dashboard in order to visualize the topology maintenance and traffic flows.

Developing a Framework for Large Scale Security Analysis of Web Applications
Authors: Fabian Marquardt
Abstract: In this demonstration we present our framework to execute large scale security analyses of websites. Using this framework, we create a system which identifies the web applica- tion software that is installed on a website and which can also in many cases detect the specific version of this software. We will show the different components of this system and also provide some initial analysis results to the demonstration attendees.

EPredictor: An Experimental Platform for Community Evolution Prediction Tests
Authors: Narimene Dakiche, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Yahya Slimani, Abdelouahab Khelifati, Hadjer Chabane
Abstract: In this demonstration, we present "EPredictor" an experimental platform which enables testing, verifying and validating models related to community evolution prediction in dynamic social networks. Community evolution prediction is usually handled by following four main steps: (1) split the network into timeframes; (2) detect communities in each timeframe; (3) track their evolutionary behavior and (4) build a predictive model to forecast the future events. The main objective of EPredictor is to provide a flexible environment that handles the entire process of community evolution prediction with a rich set of literature methods for each step; thus enabling researchers to make valuable comparisons and consistent analysis.

Demo Board

Demonstration chair: Kyong Jin Shim, Singapore Management University, Singapore

Demonstration Board members to be announced.