DESIGN OF A TRAFFIC GENERATION PLATFORM FOR OFFLINE EVALUATION OF NIDS
Published In: 8TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): P.VELARDE-ALVARADO
Abstract: In this paper, the design of a platform for the generation of NIDS evaluation datasets is proposed. The increasing sophistication of network attacks requires high volumes of high quality and realistic test data that can faithfully represent today's security threats to information systems. Our platform is based on the generation of aggregate traffic through the reproduction of real offline traffic and the injection of anomalous traffic. The use of free software tools in Linux environment is proposed. This solution provides an answer to the lack of datasets suitable for the study of Intrusion Detection Systems.
- Publication Date: 23-Jun-2018
- DOI: 10.15224/978-1-63248-153-5-03
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- Downloads: 0
A CONCEPTUAL MODEL FOR PEER TO PEER ENERGY TRADING USING BLOCKCHAIN
Published In: 8TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): ADARSH AGRAWAL
Abstract: Power grids are undergoing significant changes due to rapid growth in renewable energy resources. While these changes enhance sustainability and efficiency, they also create significant management challenges as the complexity of power systems increases. To tackle these challenges, decentralized solutions are emerging, in which local communities are arranged in microgrids. Within the microgrid a prosumer (i.e., consumers with energy generation and consumption capabilities) and the consumer can trade energy with each other without involving any arbitrator, thereby smoothing the load on the main grid. It is very important to design a reliable transaction platform for the energy trading. This paper describes the efficient and reliable model for peer to peer energy trading based on Blockchain. Peer to peer transaction platform build on smart contracts, coupled with blockchain removes the reliance on the central system between transaction parties.
- Publication Date: 23-Jun-2018
- DOI: 10.15224/978-1-63248-153-5-04
- Views: 0
- Downloads: 0