Int. J. Sociotechnology Knowl. Dev.最新文献_第9页

Examining E-Government Enabling of E-Health Service Through the Lens of Structuration Theory 结构理论视角下电子医疗服务的电子政务赋能研究

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-07-01 DOI: 10.4018/ijskd.2020070102

T. Iyamu

引用次数: 5

An Efficient Neural Network-Based Prediction Scheme for Heterogeneous Networks 一种高效的基于神经网络的异构网络预测方案

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-04-01 DOI: 10.4018/ijskd.2020040104

K. Hosny, Marwa M. Khashaba, Walid I. Khedr, F. Amer

{"title":"An Efficient Neural Network-Based Prediction Scheme for Heterogeneous Networks","authors":"K. Hosny, Marwa M. Khashaba, Walid I. Khedr, F. Amer","doi":"10.4018/ijskd.2020040104","DOIUrl":"https://doi.org/10.4018/ijskd.2020040104","url":null,"abstract":"Inmobilewirelessnetworks,thechallengeofprovidingfullmobilitywithoutaffectingthequalityof service(QoS)isbecomingessential.Thesechallengescanbeovercomeusinghandoverprediction. Theprocessofdeterminingthenextstationwhichmobileuserdesirestotransferitsdataconnection canbetermedashandoverprediction.Anewproposedpredictionschemeispresentedinthisarticle dependentonscanningallsignalqualitybetweenthemobileuserandallneighboringstationsinthe surroundingareas.Additionally,theproposedschemeefficiencyisenhancedessentiallyforminimizing theredundanthandover(unnecessaryhandovers)numbers.BothWLANandlongtermevolution (LTE)networksareusedintheproposedschemewhichisevaluatedusingvariousscenarioswith severalnumbersandlocationsofmobileusersandwithdifferentnumbersandlocationsofWLAN accesspointandLTEbasestation,allrandomly.Theproposedpredictionschemeachievesasuccess rateofupto99%inseveralscenariosconsistentwithLTE-WLANarchitecture.Tounderstandthe networkcharacteristicsforenhancingefficiencyandincreasingthehandoversuccessfulpercentage especiallywithmobilestationhighspeeds,aneuralnetworkmodelisused.Usingthetrainednetwork, itcanpredictthenexttargetstationforheterogeneousnetworkhandoverpoints.Theproposedneural network-basedschemeaddedasignificantimprovementintheaccuracyratiocomparedtotheexisting schemesusingonlythereceivedsignalstrength(RSS)asaparameterinpredictingthenextstation. Itachievesaremarkableimprovementinsuccessfulpercentageratioupto5%comparedwithusing onlyRSS.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"24 1","pages":"63-76"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90828022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

New Detection Mechanism for Distributed Denial of Service Attacks in Software Defined Networks 软件定义网络分布式拒绝服务攻击的新检测机制

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-04-01 DOI: 10.4018/ijskd.2020040101

K. Hosny, Ameer E. Gouda, Ehab R. Mohamed

{"title":"New Detection Mechanism for Distributed Denial of Service Attacks in Software Defined Networks","authors":"K. Hosny, Ameer E. Gouda, Ehab R. Mohamed","doi":"10.4018/ijskd.2020040101","DOIUrl":"https://doi.org/10.4018/ijskd.2020040101","url":null,"abstract":"Softwaredefinednetworks(SDN)arearecentlydevelopedformforcontrollingnetworkmanagement byprovidingcentralizedcontrolunitcalledtheController.ThismasterControllerisagreatpower pointbutatthesametimeitisunfortunatelyafailurepointandaseriousloopholeifitistargetedand droppedbyattacks.OneofthemostserioustypesofattacksistheinabilitytoaccesstheController, whichisknownasthedistributeddenialofservice(DDoS)attack.ThisresearchshowshowDDoS attackcandeplete the resourcesof theControllerandproposesa lightweightmechanism,which worksattheControlleranddetectsaDDoSattackintheearlystages.Theproposedmechanismcan notonlydetecttheattack,butalsoidentifyattackpathsandinitiateamitigationprocesstoprovide somedegreeofprotectiontonetworkdevicesimmediatelyaftertheattackisdetected.Theproposed mechanismdependsonahybridtechniquethatmergesbetweentheaverageflowinitiationrate,and theflowspecificationofthecomingtraffictothenetwork. KeywoRDS Average Flow Initiation Rate, DDoS Attacks, Flow Initiation Rate, Flow Specification, SDN Controller, SDN, Security, Window Size","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"3 1","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91041410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Deep Learning on Digital Image Splicing Detection Using CFA Artifacts 基于CFA伪影的深度学习数字图像拼接检测

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-04-01 DOI: 10.4018/ijskd.2020040102

Nadheer Younus Hussien, R. Mahmoud, Hala H. Zayed

{"title":"Deep Learning on Digital Image Splicing Detection Using CFA Artifacts","authors":"Nadheer Younus Hussien, R. Mahmoud, Hala H. Zayed","doi":"10.4018/ijskd.2020040102","DOIUrl":"https://doi.org/10.4018/ijskd.2020040102","url":null,"abstract":"Digitalimageforgeryisaseriousproblemofanincreasingattentionfromtheresearchsociety.Image splicingisawell-knowntypeofdigitalimageforgeryinwhichtheforgedimageissynthesizedfrom twoormoreimages.Splicingforgerydetectionismorechallengingwhencomparedwithotherforgery typesbecausetheforgedimagedoesnotcontainanyduplicatedregions.Inaddition,unavailabilityof sourceimagesintroducesnoevidenceabouttheforgeryprocess.Inthisstudy,anautomatedimage splicingforgerydetectionschemeispresented.Itdependsonextractingthefeatureofimagesbased ontheanalysisofcolorfilterarray(CFA).Afeaturereductionprocessisperformedusingprincipal componentanalysis (PCA) to reduce thedimensionalityof the resulting featurevectors.Adeep beliefnetwork-basedclassifierisbuiltandtrainedtoclassifythetestedimagesasauthenticorspliced images.TheproposedschemeisevaluatedthroughasetofexperimentsonColumbiaImageSplicing DetectionEvaluationDataset(CISDED)underdifferentscenariosincludingaddingpostprocessing onthesplicedimagessuchJPEGcompressionandGaussianNoise.Theobtainedresultsrevealthat theproposedschemeexhibitsapromisingperformancewith95.05%precision,94.05%recall,94.05% truepositiverate,and98.197%accuracy.Moreover,theobtainedresultsshowthesuperiorityofthe proposedschemecomparedtootherrecentsplicingdetectionmethod. KeywoRDS Color Filter Array, Deep Belief Network, Deep Learning, Digital Image Forgery, Splicing Forgery","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"98 1","pages":"31-44"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78576533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Towards Extract-Transform-Load Operations in a Big Data context 面向大数据环境下的提取-转换-加载操作

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-04-01 DOI: 10.4018/ijskd.2020040105

Hana Mallek, Faïza Ghozzi, F. Gargouri

{"title":"Towards Extract-Transform-Load Operations in a Big Data context","authors":"Hana Mallek, Faïza Ghozzi, F. Gargouri","doi":"10.4018/ijskd.2020040105","DOIUrl":"https://doi.org/10.4018/ijskd.2020040105","url":null,"abstract":"BigDataemergedafterabigexplosionofdatafromtheWeb2.0,digitalsensors,andsocialmedia applications such as Facebook, Twitter, etc. In this constant growth of data, many domains are influenced, especially thedecisional support systemdomain,where the integrationof processes shouldbeadaptedtosupportthishugeamountofdatatoimproveanalysisgoals.Thebasicpurpose ofthisresearcharticleistoadaptextract-transform-loadprocesseswithBigDatatechnologies,in order tosupportnotonlythisevolutionofdatabutalsotheknowledgediscovery.Inthisarticle, anewapproachcalledBigDimensionalETL(BigDimETL)issuggestedtodealwithETLbasic operationsandtakeintoaccountthemultidimensionalstructure.Inordertoacceleratedatahandling, theMapReduceparadigmisusedtoenhancedatawarehousingcapabilitiesandHBaseasadistributed storagemechanism.ExperimentalresultsconfirmthattheETLoperationperformswellespecially withadaptedoperations. KEywORDS Big Data, ETL, Hbase, Map Reduce, Multidimensional Structure","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"96 1","pages":"77-95"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76865075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Effect of Controlling Parameters of Tone Reservation Based on Null Subcarriers (TRNS) on the Performance of OFDM Systems 基于零子载波(TRNS)的音调保留控制参数对OFDM系统性能的影响

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-04-01 DOI: 10.4018/ijskd.2020040103

Mohamed Mounir, M. B. Mashade

{"title":"Effect of Controlling Parameters of Tone Reservation Based on Null Subcarriers (TRNS) on the Performance of OFDM Systems","authors":"Mohamed Mounir, M. B. Mashade","doi":"10.4018/ijskd.2020040103","DOIUrl":"https://doi.org/10.4018/ijskd.2020040103","url":null,"abstract":"High data rate communication systems usually implement Orthogonal Frequency Division Multiplexing(OFDM)tofacefrequencyselectivity.HighPeaktoAveragePowerRatio(PAPR)isan OFDMdisadvantagethatcausesBitErrorRate(BER)degradationandout-of-band(OOB)radiation whenOFDMsignalpassthroughnonlinearPowerAmplifier(PA).Inordertoovercomethisproblem largerInputBack-Off(IBO)isrequired.However, largeIBOdecreases thePAefficiency.PAPR reductiontechniquesareusedtoreducetherequiredIBO,sothatPAefficiencyissaved.Several PAPRreductionmethodsareintroducedinliterature,amongthemToneReservationbasedonNull Subcarriers(TRNS)isdownwardcompatibleversionofToneReservation(TR)withsmallexcessin theaveragepowerandlowcomputationalcomplexitycomparedtoothers.Aswillbeshown,TRNS is the best practical one of the four downward compatible techniques. Performance of TRNS is controlledbythreeparameters;numberofpeakreductiontones(PRTs),predefinedthreshold(Amax), andnumberofiterations(Itr).InordertoincreasePAPRreductiongain,enhanceBERperformance, andreducetherequiredIBOtofollowthegivenpowerspectraldensity(PSD),wehavetochoosethe valuesoftheseparametersadequately.Resultsshowedthat,wehavetoreducethethresholdvalue totheaverage(i.e.Amax=0dB).Also,wehavetoincreasenumberofPRTs.However,wehaveto maintainthespectrumshape.Finally,wehavetochoosemoderatenumberofiterations(e.g.Itr≈50), asexcessiveincreaseinnumberofiterationsisnotuseful,especiallyathighPAPRvalues. KEywORDS Orthogonal Frequency Division Multiplexing (OFDM), Peak To Average Power Ratio (PAPR), Tone Reservation Based On Null Subcarriers (TRNS) International Journal of Sociotechnology and Knowledge Development Volume 12 • Issue 2 • April-June 2020","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"2 1","pages":"45-62"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84776819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Proposed Frequent Itemset Discovery Algorithm Based on Item Weights and Uncertainty 一种基于项权和不确定性的频繁项集发现算法

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-01-01 DOI: 10.4018/ijskd.2020010106

Hanaa Ibrahim Abu Zahra, Shaker El-Sappagh, Tarek El-Shishtawy

{"title":"A Proposed Frequent Itemset Discovery Algorithm Based on Item Weights and Uncertainty","authors":"Hanaa Ibrahim Abu Zahra, Shaker El-Sappagh, Tarek El-Shishtawy","doi":"10.4018/ijskd.2020010106","DOIUrl":"https://doi.org/10.4018/ijskd.2020010106","url":null,"abstract":"Most frequent itemset mining algorithms (FIMA) discover hidden relationships from unrelated items. They find the most frequent itemsets depending only on the frequency of the item's existence in the dataset. These algorithms give all items the same importance, and neglect the differences in importance of the items. They assume the full certainty of data, but in most cases, real word data may be uncertain. As a result, the data could be incomplete and/or imprecise. These two problems are the most common challenges that face FIMA algorithms. Some new algorithms proposed some solutions to face these two issues separately. In other words, some algorithms handle item importance only, and others handle uncertainty only. Few algorithms dealt with the two issues together. In this article, the single scan for weighted itemsets over the uncertain database (SSU-Wfim) is proposed. It depends on the single scan frequent itemsets algorithm (SS_FIM), and enhances it to deal with weighted items in an uncertain database. SSU_WFIM deals with the uncertainty of data by giving each item in a transaction an additional value to indicate occurrence likelihood. It gives the items different values to define the weight of them. It uses a table called Ptable to save the items and their probability values. This table is used to generate all possible candidates itemsets. The results indicate the high performance in aspects of runtime, memory consumption and scalability of SSU-Wfim comparing with the UApriori algorithm. The proposed algorithm saves time and memory with a percentage exceeds 70% for all tested datasets.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"39 1","pages":"98-118"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84606761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Robust and Blind 3D Mesh Watermarking Approach Based on Particle Swarm Optimization 一种基于粒子群优化的鲁棒盲三维网格水印方法

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-01-01 DOI: 10.4018/ijskd.2020010102

M. R. Mouhamed, Mona M. Soliman, A. Darwish, A. Hassanien

引用次数: 2

A Framework for Managing Big Data in Enterprise Organizations 企业组织大数据管理框架

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-01-01 DOI: 10.4018/ijskd.2020010105

Youssef Ahmed, Walaa Medhat, Tarek El Shishtawi

引用次数: 3

Fusion Time Reduction of a Feature Level Based Multimodal Biometric Authentication System 基于特征层次的多模态生物识别认证系统融合时间缩短

Int. J. Sociotechnology Knowl. Dev. Pub Date : 2020-01-01 DOI: 10.4018/ijskd.2020010104

R. Mahmoud, M. Selim, Omar A. Muhi

引用次数: 8