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UPDATE `aff_pdf_cache` SET `cache` = 'a:10:{i:0;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"428820\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:5:\"irjes\";s:9:\"author_id\";s:6:\"564240\";s:14:\"author_website\";s:16:\"http://irjes.com\";s:5:\"title\";s:75:\"Provide a way to deal with SYN-Flooding Attacks in Next Generation Networks\";s:11:\"description\";s:1850:\"Next generation networks(NGN) are as a new structure for information networks and communication systems that need to research and investigation in several aspects such as quality of service (QOS), global access and most important, security and reliability time to full set up. in spite of creation of facilities for users and resolve of problems in previous technologies by emerging of new technologies and informations have new vulnearabilities. That we should know them throughout different aspect of investigations such as design, implementation and then counter them. Not only next generation network fallow this rule as a new structure in communication aspects, but also because of transmission of some basic technologies, some of the vulnearabilities in current networks transfer to them. Based on default standards of ITU-T, IPV6 is one of the basic protocols in next generation network. This protocol although is able to resolve some relative limits about buffer problems, but now is as a vulnearability point for creation of some attacks, such as denial of service( DOS) in next generation network. SYN flooding attack is one of the serious type of DOS attacks, that a network attacker by using it create a huge damage. In this thesis for defense of a victim system we carry out modeling by using of hybrid mechanism composed of filtering approach that based on number of SYN/FIN packet and simple queuing model for investigation half open connection which remain in system exceed of threshold time. Then by using of PSO algorithm in opnet software, simulate model. For prove performance we compare results of proposed approach with previous related work based on rejection probability, buffer usage, attack buffer usage, average active time and attack average active time Parameters , then present results by using tables and plots formats.\";s:5:\"thumb\";s:93:\"images/t/4289/provide-a-way-to-deal-with-syn-flooding-attacks-in-next-generation-networks.jpg\";s:6:\"thumb2\";s:94:\"images/t2/4289/provide-a-way-to-deal-with-syn-flooding-attacks-in-next-generation-networks.jpg\";s:9:\"permalink\";s:75:\"provide-a-way-to-deal-with-syn-flooding-attacks-in-next-generation-networks\";s:5:\"pages\";s:1:\"5\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:1;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"587261\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:12:\"journals.ats\";s:9:\"author_id\";s:6:\"622984\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:115:\"A New Method for Reducing Energy Consumption in Wireless Sensor Networks using Fuzzy Clustering and Fault Tolerance\";s:11:\"description\";s:1233:\"Nowadays, wireless sensor networks, clustering protocol based on the neighboring nodes into separate clusters and fault\ntolerance for each cluster exists for sensors to send information to the base station, to gain the best performance in terms of increased\nlongevity and maintain tolerance than with other routing methods. However, most clustering protocols proposed so far, only\ngeographical proximity (neighboring) cluster formation is considered as a parameter. In this study, a new clustering protocol and fault\ntolerance based on the fuzzy algorithms are able to clustering nodes in sensor networks based on fuzzy logic and fault tolerance. This\nprotocol uses clustering sensor nodes and fault tolerance exist in the network to reduce energy consumption, so that faulty sensors\nfrom neighboring nodes are used to cover the errors, work based on the most criteria overlay neighbor sensors with defective sensors,\ndistance neighbor sensors from fault sensor and distance neighbor sensors from central station is done. Superior performance of the\nprotocol can be seen in terms of increasing the network lifetime and maintain the best network tolerance in comparison with previous\nprotocols such as LEACH in the simulation results.\";s:5:\"thumb\";s:117:\"images/t/5873/a-new-method-for-reducing-energy-consumption-in-wireless-sensor-networks-using-fuzzy-clustering-and.jpg\";s:6:\"thumb2\";s:118:\"images/t2/5873/a-new-method-for-reducing-energy-consumption-in-wireless-sensor-networks-using-fuzzy-clustering-and.jpg\";s:9:\"permalink\";s:99:\"a-new-method-for-reducing-energy-consumption-in-wireless-sensor-networks-using-fuzzy-clustering-and\";s:5:\"pages\";s:1:\"5\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:2;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"588511\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:11:\"mnmrahulsan\";s:9:\"author_id\";s:6:\"624838\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:45:\"Global Next Generation Factory Market By 2018\";s:11:\"description\";s:366:\"Recent report published by MarketsandMarkets, predicts that Next Generation Factory Market expected to generate revenues of $246.03 billion by 2018, growing at an estimated CAGR of 8.08% from 2013-2018. Some of the key players in the smart factory market include ABB Ltd (Switzerland), DassaultSystemes (France), Apriso Corporation (U.S.), Siemens AG (Germany) etc. \";s:5:\"thumb\";s:63:\"images/t/5886/global-next-generation-factory-market-by-2018.jpg\";s:6:\"thumb2\";s:64:\"images/t2/5886/global-next-generation-factory-market-by-2018.jpg\";s:9:\"permalink\";s:45:\"global-next-generation-factory-market-by-2018\";s:5:\"pages\";s:1:\"2\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:3;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"405462\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:6:\"mrrbiz\";s:9:\"author_id\";s:6:\"490194\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:96:\"Global Next Generation High Speed Wireless Networking Market 2012-2016:MarketResearchReports.biz\";s:11:\"description\";s:316:\"\nTechNavio\'s analysts forecast the Global Next-generation High-speed Wireless Networking market to grow at a CAGR of 7.94 percent over the period 2012-2016. \nTo Buy A Copy Of This Report: http://www.marketresearchreports.biz/analysis/164781\nFor All Latest Reports Kindly visit: http://www.marketresearchreports.biz\n\";s:5:\"thumb\";s:114:\"images/t/4055/global-next-generation-high-speed-wireless-networking-market-2012-2016-marketresearchreports-biz.jpg\";s:6:\"thumb2\";s:115:\"images/t2/4055/global-next-generation-high-speed-wireless-networking-market-2012-2016-marketresearchreports-biz.jpg\";s:9:\"permalink\";s:96:\"global-next-generation-high-speed-wireless-networking-market-2012-2016-marketresearchreports-biz\";s:5:\"pages\";s:1:\"2\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:4;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"596459\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:14:\"alliedjournals\";s:9:\"author_id\";s:6:\"629956\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:108:\"Security Solutions for enterprises and organizations in their Communication Networks using Graph coloring\";s:11:\"description\";s:713:\"With the rapid growth of the network technologies and evolution of enterprise information systems, more and more enterprises and organizations convey their transactions and services over the Internet now days. So cost-effective, reasonable design principles, and a suitable user interface are very important measures in the design of security solutions. This paper is focused on a theoretical analysis of solutions offered by graph coloring problem to some security problems in distributed communication networks. We describe the role of Graph coloring in several security techniques and main goal of this paper is to induce discussion on various security approaches that use coloring problem for amended results.\";s:5:\"thumb\";s:118:\"images/t/5965/security-solutions-for-enterprises-and-organizations-in-their-communication-networks-using-graph-col.jpg\";s:6:\"thumb2\";s:119:\"images/t2/5965/security-solutions-for-enterprises-and-organizations-in-their-communication-networks-using-graph-col.jpg\";s:9:\"permalink\";s:100:\"security-solutions-for-enterprises-and-organizations-in-their-communication-networks-using-graph-col\";s:5:\"pages\";s:1:\"4\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:5;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"411247\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:8:\"cloudpub\";s:9:\"author_id\";s:6:\"570677\";s:14:\"author_website\";s:32:\"http://www.cloudpublications.org\";s:5:\"title\";s:95:\"Mapping and Analysis of Marine Pollution in Tuticorin Coastal Area Using Remote Sensing and GIS\";s:11:\"description\";s:1671:\"In this project, the Marine Pollution Information System has been suggested with the help of Remote Sensing and GIS. This system provides pollution hot spot area and spread rate of the Tuticorin coastal area in Tamilnadu, India. The spread rate and hot spot analysis has been analyzed with the aid of various Chemical, Biological and Physical parameters such as pH, Temperature, Total Suspended Sediments (TSS), Salinity, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Nitrate, Nitrite, Phosphorus as Phosphate PO4, Chlorophyll-a, Silicate, primary productivity and Ammonia. The Remote Sensing data plays vital role in pollution monitoring and analysis. The Geographic Information System and Remote Sensing facilitate to scrutinize various marine pollution such Industrial pollution, sewage pollution and anthropogenic pollution. The various pollution parameters are examined with the allusion of “General Coastal Cater Quality Standard”. The preliminary investigations of pollution spots were identified on the remote sensing data (IRS P6) through the visual interpretation techniques. From the visually interpreted data the major polluted spots were identified on the ground by ground survey method. The water samples were collected from the polluted spots. The various samples had undergone with diverse laboratory analysis and readings were stored in GIS database. The various pollution parameters reading are compared with General Coastal Cater Quality Standard values in GIS environment. The various parameters Map, Hot Spot Map and Spread Rate Map are generated with the assist of Weighted Overlay Analysis and Statistical Analysis in ARC-GIS.\";s:5:\"thumb\";s:113:\"images/t/4113/mapping-and-analysis-of-marine-pollution-in-tuticorin-coastal-area-using-remote-sensing-and-gis.jpg\";s:6:\"thumb2\";s:114:\"images/t2/4113/mapping-and-analysis-of-marine-pollution-in-tuticorin-coastal-area-using-remote-sensing-and-gis.jpg\";s:9:\"permalink\";s:95:\"mapping-and-analysis-of-marine-pollution-in-tuticorin-coastal-area-using-remote-sensing-and-gis\";s:5:\"pages\";s:2:\"15\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:6;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"457422\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:9:\"ronethell\";s:9:\"author_id\";s:5:\"79104\";s:14:\"author_website\";s:30:\"http://www.reportsnreports.com\";s:5:\"title\";s:91:\"Next Generation Sequencing Market – Illumina Led NGS in 2012 with 56% of Market Share\";s:11:\"description\";s:182:\"Next generation sequencing is set to revolutionize applied markets like diagnostics, drug discovery, biomarker discovery, personalized medicine, and agriculture and animals research.\";s:5:\"thumb\";s:100:\"images/t/4575/next-generation-sequencing-market-illumina-led-ngs-in-2012-with-56-of-market-share.jpg\";s:6:\"thumb2\";s:101:\"images/t2/4575/next-generation-sequencing-market-illumina-led-ngs-in-2012-with-56-of-market-share.jpg\";s:9:\"permalink\";s:82:\"next-generation-sequencing-market-illumina-led-ngs-in-2012-with-56-of-market-share\";s:5:\"pages\";s:1:\"3\";s:6:\"rating\";s:1:\"4\";s:5:\"voter\";s:1:\"1\";}i:7;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"479318\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:5:\"Alina\";s:9:\"author_id\";s:1:\"0\";s:14:\"author_website\";s:41:\"http://www.transparencymarketresearch.com\";s:5:\"title\";s:112:\"Next Generation Sequencers Market - Global Industry Analysis, Size, Growth, Share And Forecast 2012 – 2018\";s:11:\"description\";s:644:\"Next generation sequencers are associated with DNA sequencing, including several technologies which are used to determine the order of nucleotide bases in a DNA molecule. In the genomics space, it is estimated to be the most lucrative and fastest growing segment. The next generation sequencers market is expected to grow in double digits and it will bring in a new revolution in the field of biopharma, applied markets and academic laboratories. It can be even used in those laboratories where no sequencing techniques were used previously.\n\nBrowse Full Report: http://www.transparencymarketresearch.com/next-generation-sequencers-market.html\n\";s:5:\"thumb\";s:117:\"images/t/4794/next-generation-sequencers-market-global-industry-analysis-size-growth-share-and-forecast-2012-2018.jpg\";s:6:\"thumb2\";s:118:\"images/t2/4794/next-generation-sequencers-market-global-industry-analysis-size-growth-share-and-forecast-2012-2018.jpg\";s:9:\"permalink\";s:99:\"next-generation-sequencers-market-global-industry-analysis-size-growth-share-and-forecast-2012-2018\";s:5:\"pages\";s:1:\"3\";s:6:\"rating\";s:1:\"5\";s:5:\"voter\";s:1:\"1\";}i:8;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"580505\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:15:\"satyamsingh2231\";s:9:\"author_id\";s:6:\"630753\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:80:\"Global Next Generation Sequencing Market: Trends & Opportunities (2013-2018)\";s:11:\"description\";s:219:\"The report titled “Global Next Generation Sequencing Market: Trends and Opportunities (2013-2018)” analyzes the potential opportunities and significant trends in the global Next Generation Sequencing market.\";s:5:\"thumb\";s:89:\"images/t/5806/global-next-generation-sequencing-market-trends-opportunities-2013-2018.jpg\";s:6:\"thumb2\";s:90:\"images/t2/5806/global-next-generation-sequencing-market-trends-opportunities-2013-2018.jpg\";s:9:\"permalink\";s:71:\"global-next-generation-sequencing-market-trends-opportunities-2013-2018\";s:5:\"pages\";s:2:\"11\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:9;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"327930\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:13:\"marketreports\";s:9:\"author_id\";s:5:\"65751\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:81:\"Global Next Generation Biometric Technologies Market worth $13.89 Billion by 2017\";s:11:\"description\";s:355:\"Next Generation Biometric Technologies Market – Global Forecast & Analysis (2012 – 2017) By Types (Fingerprint, Palm, Face, Iris / Retina, Vein, Voice, Signature and others), Applications (Government, Defense, Travel & Immigration, Home Security, Banking & finance, Consumer electronics, Healthcare, Commercial security and others)\";s:5:\"thumb\";s:98:\"images/t/3280/global-next-generation-biometric-technologies-market-worth-13-89-billion-by-2017.jpg\";s:6:\"thumb2\";s:99:\"images/t2/3280/global-next-generation-biometric-technologies-market-worth-13-89-billion-by-2017.jpg\";s:9:\"permalink\";s:80:\"global-next-generation-biometric-technologies-market-worth-13-89-billion-by-2017\";s:5:\"pages\";s:1:\"2\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}}', `cache_on` = '2015-02-28 07:27:30' WHERE `aff_id` = '700974'