Multi-Core Defense System (MSDS) for Protecting Computer Infrastructure against DDoS Attacks
Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed...
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creator | Chonka, A. Soon Keow Chong Wanlei Zhou Yang Xiang |
description | Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5 ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. From these experiments, we were able to achieve an average of 93.36%, of this attack traffic. |
doi_str_mv | 10.1109/PDCAT.2008.72 |
format | Conference Proceeding |
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Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5 ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. 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From these experiments, we were able to achieve an average of 93.36%, of this attack traffic.</description><subject>Application software</subject><subject>Bodyguard Framework</subject><subject>Computer crime</subject><subject>Concurrent computing</subject><subject>Distributed computing</subject><subject>Farmer</subject><subject>Information security</subject><subject>Information technology</subject><subject>Monitoring</subject><subject>Multicore</subject><subject>Multicore processing</subject><subject>Protection</subject><subject>Telecommunication traffic</subject><subject>Ubiquitous Multicore framework</subject><issn>2379-5352</issn><isbn>9780769534435</isbn><isbn>0769534430</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkL1PwkAchi9REhEZnVxu1KF43x8jaVFJIJIUNxNybX9HqtCSu-vAfy9Gp3d5nmd4EbqnZEYpsc-bIp9vZ4wQM9PsCk2tNkQrK7kQXF6jMePaZpJLNkK3v5Tlwhp9g6YxfhFCODXGGjtGn-vhkNos7wPgAjx0EXB5jgmO-HFdFuUT9n3Am9AnqFPb7XHeH09DgoCXnQ8upjDUabjIbu_aLiZcFH2J5ym5-jveoZF3hwjT_52gj5fFNn_LVu-vy3y-ylpGRcoEeKoJr7iWrHGiIg1pBK99DY42VnlbuYY1thZSK8eB2Ip5qYzkRhmlnOcT9PDXbQFgdwrt0YXzTujLU0zwH8p0VVU</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Chonka, A.</creator><creator>Soon Keow Chong</creator><creator>Wanlei Zhou</creator><creator>Yang Xiang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20080101</creationdate><title>Multi-Core Defense System (MSDS) for Protecting Computer Infrastructure against DDoS Attacks</title><author>Chonka, A. ; Soon Keow Chong ; Wanlei Zhou ; Yang Xiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i214t-4ef1703b3752da4b0d0d43cfcea1d96f9bad2d9c4576a3e09b2f5685386866af3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Application software</topic><topic>Bodyguard Framework</topic><topic>Computer crime</topic><topic>Concurrent computing</topic><topic>Distributed computing</topic><topic>Farmer</topic><topic>Information security</topic><topic>Information technology</topic><topic>Monitoring</topic><topic>Multicore</topic><topic>Multicore processing</topic><topic>Protection</topic><topic>Telecommunication traffic</topic><topic>Ubiquitous Multicore framework</topic><toplevel>online_resources</toplevel><creatorcontrib>Chonka, A.</creatorcontrib><creatorcontrib>Soon Keow Chong</creatorcontrib><creatorcontrib>Wanlei Zhou</creatorcontrib><creatorcontrib>Yang Xiang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chonka, A.</au><au>Soon Keow Chong</au><au>Wanlei Zhou</au><au>Yang Xiang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-Core Defense System (MSDS) for Protecting Computer Infrastructure against DDoS Attacks</atitle><btitle>2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies</btitle><stitle>PDCAT</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>503</spage><epage>508</epage><pages>503-508</pages><issn>2379-5352</issn><isbn>9780769534435</isbn><isbn>0769534430</isbn><abstract>Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5 ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. From these experiments, we were able to achieve an average of 93.36%, of this attack traffic.</abstract><pub>IEEE</pub><doi>10.1109/PDCAT.2008.72</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 2379-5352 |
ispartof | 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies, 2008, p.503-508 |
issn | 2379-5352 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Application software Bodyguard Framework Computer crime Concurrent computing Distributed computing Farmer Information security Information technology Monitoring Multicore Multicore processing Protection Telecommunication traffic Ubiquitous Multicore framework |
title | Multi-Core Defense System (MSDS) for Protecting Computer Infrastructure against DDoS Attacks |
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