10,866 research outputs found
Site Authorization Service (SAZ)
In this paper we present a methodology to provide an additional level of
centralized control for the grid resources. This centralized control is applied
to site-wide distribution of various grids and thus providing an upper hand in
the maintenance.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, CA, USA, March 2003, 3 pages, PSN TUBT00
LineSwitch: Efficiently Managing Switch Flow in Software-Defined Networking while Effectively Tackling DoS Attacks
Software Defined Networking (SDN) is a new networking architecture which aims
to provide better decoupling between network control (control plane) and data
forwarding functionalities (data plane). This separation introduces several
benefits, such as a directly programmable and (virtually) centralized network
control. However, researchers showed that the required communication channel
between the control and data plane of SDN creates a potential bottleneck in the
system, introducing new vulnerabilities. Indeed, this behavior could be
exploited to mount powerful attacks, such as the control plane saturation
attack, that can severely hinder the performance of the whole network.
In this paper we present LineSwitch, an efficient and effective solution
against control plane saturation attack. LineSwitch combines SYN proxy
techniques and probabilistic blacklisting of network traffic. We implemented
LineSwitch as an extension of OpenFlow, the current reference implementation of
SDN, and evaluate our solution considering different traffic scenarios (with
and without attack). The results of our preliminary experiments confirm that,
compared to the state-of-the-art, LineSwitch reduces the time overhead up to
30%, while ensuring the same level of protection.Comment: In Proceedings of the 10th ACM Symposium on Information, Computer and
Communications Security (ASIACCS 2015). To appea
Prediction-Based Energy Saving Mechanism in 3GPP NB-IoT Networks
The current expansion of the Internet of things (IoT) demands improved communication platforms that support a wide area with low energy consumption. The 3rd Generation Partnership Project introduced narrowband IoT (NB-IoT) as IoT communication solutions. NB-IoT devices should be available for over 10 years without requiring a battery replacement. Thus, a low energy consumption is essential for the successful deployment of this technology. Given that a high amount of energy is consumed for radio transmission by the power amplifier, reducing the uplink transmission time is key to ensure a long lifespan of an IoT device. In this paper, we propose a prediction-based energy saving mechanism (PBESM) that is focused on enhanced uplink transmission. The mechanism consists of two parts: first, the network architecture that predicts the uplink packet occurrence through a deep packet inspection; second, an algorithm that predicts the processing delay and pre-assigns radio resources to enhance the scheduling request procedure. In this way, our mechanism reduces the number of random accesses and the energy consumed by radio transmission. Simulation results showed that the energy consumption using the proposed PBESM is reduced by up to 34% in comparison with that in the conventional NB-IoT method
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