compromise network configuration spread viruses and spyware
ORACLE NETWORK CONFIGURATION
... TRẢ LỜI BÀI TẬP ORACLECHƯƠNG 26ORACLE VÀ CẤU HÌNH MẠNG (ORACLE NETWORK CONFIGURATION) 1. Listener là gì? Cáùc Service chính nào được dùng để phục cho việc truy xuất...
- 3
- 536
- 5
Outsourcing the Network II - Green IT and SAN
... giữa sáng kiến và hiệu quả của nóSAN solutionHợp nhất việc lưu trữ•SAN (Storage Area Network) và NAS (Network Attached Storage) là hai cách để tổ chức lại một hệ thống vào trong một nguồn ... chủ thông qua một card adapter, và thiết bị lưu trữ chỉ phục vụ cho một server duy nhất•NAS (network attached storage): là một dạng mạng LAN cơ bản chạy trên máy chủ file server sử dụng giao ... thiết bị mà không phá vỡ tiến trình của ứng dụngCác công nghệ mới•Giao thức iCSI•FCoE•Infiniband•Ảo hóa•Phần mềm quản lý nguồn lưu trữ•Sự hội tụ của SAN/NASLợi ích của SAN•Cải thiện...
- 61
- 895
- 1
Viruses and Email Attachments
... to data that your modem sends and receives to get email addresses from your incoming and outgoing email, Web pages, and files in your Internet cache folder. Many viruses also include their own ... might have. Spyware is also known as adware, and although it usually isn't destructive, it downloads files to your drive and is often responsible for crashes. The first and possibly ... need to be careful, especially with email attachments. You know what viruses are, but what are trojan horses and spyware? Trojan horses are small programs that permit hackers to take control...
- 2
- 343
- 0
Tài liệu Module 09 Viruses and Worms doc
... memory and infect at later stages• Some viruses have trigger events to activate and corrupt systems• Some viruses have bugs that replicate and perform activities like file deletion and increasing ... Computer Viruses VirusesVirus writers can have various reasons for creating and gspreading malware•Research projects Viruses have been written as:•Research projects•Pranks•Vandalism• ... are not infectedEthical Hacking and CountermeasuresVersion 6Mod le IXModule IX Viruses and WormsCharacteristics of a VirusVirus resides in the memory and replicates itself while the program...
- 136
- 441
- 1
Chapter 22 Network Layer: Delivery, Forwarding, and Routing ppt
... of changes. changes. OptimizationIntra- and Interdomain RoutingDistance Vector Routing and RIPLink State Routing and OSPFPath Vector Routing and BGPTopics discussed in this section:Topics ... corresponding network address.2. The second mask (/25) is applied to the destination address. The result is 180.70.65.128, which matches the corresponding network address. The next-hop address and ... router R1, using the configuration in Figure 22.6.Example 22.1SolutionTable 22.1 shows the corresponding table.22.20The second local ISP has divided its block into 4 blocks and has assigned...
- 83
- 662
- 1
viruses lie the viruses and bacteriophages (phages)
... Presence or absence of viral envelope Viruses infecting vertebrates are divided into 14 RNA families and 7 DNA families (Ending: -viridae)Mumps, Measles, Influenza, and Poliomyelitis Herpesvirus•Classification: ... Range•Mostly species – and even cell type – specific•Exception: Zoonotic viruses are transmissible from animals (arthropods, vertebrates) to man (zoonosis) –Arboviruses (West Nile virus), ... cancer, metastasizes•Proto-oncogenes and oncogenes are regulatory genes•Properties of normal and transformed cells•Only about 15% of human tumors are due to viruses •Examples of human tumors:...
- 30
- 1,094
- 0
New Respiratory Viruses and the Elderly ppt
... Several new antivirals and vaccine candidates are being investigated. CORONAVIRUSES NL63 AND HKU1 In addition to coronaviruses 229E and OC43, the new coronaviruses NL63 and HKU1 were identified ... viruses and their subgroups have been discovered: influenza A viruses H5N1 and H1N1, human metapneumovirus, coronaviruses SARS, NL63 and HKU1, human bocavirus, human rhinoviruses C and D and potential ... respiratory viruses or viral strains include influenza A virus H5N1 and H1N1, MPV, SARS-, NL63- and HKU1-CoV, HBoV, HRV-C and –D and the possible respiratory pathogens, KI- and, WU-PyV and TTV...
- 9
- 448
- 0
Network Security: The Benefits and Pitfalls of Contemporary Network Security Technologies potx
... USE AND MAINTENANCEFebruary 2003ANALYSIS WITHOUT COMPROMISE Technology Evaluation and Comparison Reportwww.butlergroup.com Network SecurityThe Benefits and Pitfalls of Contemporary Network ... 4,5,6; MacintoshOS8/9 and OS X; Solaris SPARC and Intel; FreeBSD/Intel; HP-UK and HP-PA;Compaq Tru64; IBM AIX; SCO OpenServer and Unixware; OpenVMS/VAX and Alpha; OS2; and DOS.MailMonitor covers: ... checksums and signatures are correct.Sophos Anti-Virus is pre-configured for all known viruses and product updates.As a minimum, the CID needs to be specified, and configuration for a network of...
- 12
- 356
- 0
Network Security: History, Importance, and Future University of Florida Department of Electrical and Computer Engineering pot
... fundamentally differentnetworks,datanetworks and synchronous network comprisedofswitches.Theinternetisconsideredadata network. Since the current data network consists of ... Non‐repudiation–Ensuretheuserdoesnotrefutethatheusedthe network An effective network security plan is developedwiththeunderstandingofsecurityissues,potentialattackers,neededlevelofsecurity, and factorsthatmakea network vulnerabletoattack[1].Thestepsinvolved ... the network. Understanding the security issues of theinternet greatly assists in developing new securitytechnologies and approaches for networks withinternetaccess and internetsecurityitself.The...
- 13
- 524
- 0
Wireless Network Security: Vulnerabilities, Threats and Countermeasures ppt
... OSPF, RIP, and HSRP. The cracker injects bogus networking re -configuration commands that affect routers, switches, and intelligent hubs. A whole network can be brought down in this manner and require ... accessibility to information resources. Network configuration and reconfiguration is easier, faster, and less expensive. However, wireless technology also creates new threats and alters the existing information ... method the network is scanned and mapped for all access points and WLAN nodes. Then this is compared with previous network map. Commonly available network mapping tools like netstumbler and wavelan-tool...
- 10
- 679
- 0
Building the Knowledge Management Network Best Practices, Tools, and Techniques for Putting Conversation to Work
... Knowledge Network 32A Knowledge-Swapping Community 40Organizational Knowledge Networking 45Summary 59Chapter 3 Strategy and Planning for the Knowledge Network 61Strategy and Change 62Planning and ... relation-ship between culture and technology in Chapter 7, “Choosing and Using Tech-nology,” and in some of our guides to knowledge network implementation inChapter 8, “Initiating and Supporting Internal ... preindustrial world, complex skills and trades were passed on from par-ent to child and from master to apprentice by direct demonstration and hands-on instruction. Schools and universities were attended...
- 371
- 452
- 0
Chapter 2Communicating Over the Network Quangkien@gmail.com.OverviewDescribe the structure of a network, including the devices and media that are necessary for successful communications. Explain the function of protocols in network communications. Ex potx
... Regenerate and retransmit data signals.– Maintain information about what pathways exist through the network and internetwork.15 and internetwork.– Notify other devices of errors and communication ... locations.Voice and data on separate networks or converged networks Using Layered ProtocolsIntermediary Devices and their Role on the Network Processes running on the intermediary network devices ... electromagnetic waves.Protocol Suites and Standards31 Early days – proprietary network equipment and protocols. Now – Industry standards Institute of Electrical and Electronics Engineers (IEEE)...
- 52
- 550
- 0
neural network models for formation and control
... Sincethedynamicsofthehumanarmortheroboticmanipulatorisnonlinear,the$\ovalbox{\tt\smallREJECT}’$problemtofindtheuniquetrajectorywhichminimizes$C_{T}$isanonlinearoptimizationproblem.Thecentralnervoussystemdoesnotseemtoadopttheiterativealgorithmwhichweproposedin[18].Itwasreportedthatsomeneural -network modelscansolvedifficultoptimizationproblemssuchasthetraveling$salesma_{-}n$problemorearlyvisionsbyminimizing“energy”throughthe network dynamics.We[11]proposedaneural -network model,whichautomaticallygeneratesthetorquewhichminimizes$C_{T}$withoutexplicithandlingofthecostfunction.This network canberegardedasoneexampleofautonomousmotorpatterngeneratorssuchasaneuraloscillatorforrhythmicmovements.We$recently^{o}developed$the$mode1^{r}toa^{r}repetitive^{s}networkfor^{-}1earning^{t}ofthe^{1}vector$field$\ovalbox{\tt\smallREJECT}$’32thesynapticplasticity.Expandingonthesepreviousmodels and adaptivefiltermodelofthecerebellum[4],weproposedaneural network modelforthecontrolof and learningofvoluntarymovement[9].Inourmodel,theassociationcortexsendsthedesiredmovementpatternexpressedinthebodycoordinates,tothemotorcortex,wherethemotorcommand,thatistorquetobegeneratedbymuscles,isthensomehowcomputed.Theactualmotorpatternismeasuredbyproprioceptors and sentbacktothemotorcortexviathetranscorticalloop.Then,feedbackcontrolcanbeperformedutilizingerrorinthemovementtrajectory.However,feedbackdelays and smallgainsbothlimitcontrollablespeedsofmotions.Thecerebrocerebellum-parvocellularpartoftherednucleussystemreceivessynapticinputsfromwideareasofthecerebralcortex and doesnotreceiveperipheralsensoryinput.Thatis,itmonitorsboththedesiredtrajectory and themotorcommandbutitdoesnotreceiveinformationabouttheactualmovement.Withinthecerebrocerebellum–parvocellularrednucleussystem,anintemalneuralmodeloftheinverse-dynamicsofthemusculoskeletalsystemisacquired.Theinverse-dynamicsofthemusculoskeletalsystemisdefinedasthenonlinearsystemwhoseinput and outputareinverted(trajectoryistheinput and motorcommandistheoutput).Oncetheinverse-dynamicsmodelisacquiredbymotor}earning,itcancomputeagoodmotorcommanddirectlyfromthedesiredtrajectory.Learningofinverse-dynamicsmodelbyfeedbackmotorcommandasanerrorsignalThesimplestlearningapproachforacquiringtheinversedynamicsmodelofacontrolledobjectisshowninFig.$4a$.InFig.4thecontrolledobjectiscalledasamanipulator.AsshowninFig.$4a$,themanipulatorreceivesthetorqueinput$T(t)$ and outputstheresultingtrajectory$\theta(t)$.Theinversedynamicsmodelissetintheoppositeinput-outputdirectiontothat‘ofthemanipulator,asshownbythearrow.Thatis,itreceivesthetrajectoryasan-$l7$$-$3$\vee$$\dot{\cdot}$Inthis network, nonlineartransformationwasmadeonlyofcascadeoflinearweightedsummation and sigmoidnonlinearity.Thatis,wedidnotuseanyaprioriknowledgeaboutthedynamicalstructureofthecontrolledobject.Thelearningwentwell and the network hassomeextentofgeneralizationcapability.Inthelearning,westillusedthefeedbacktorquecommandastheerrorsignal.SummaryInordertocontrolvoluntarymovements,thecentralnervoussystemmustsolvethefol-lowingthreecomputationalproblemsatdifferentlevels:(1)determinationofadesiredtrajectoryinthevisualcoordinates,(2)transformationoftrajectoryfromvisualcoordi-natestobodycoordinates and (3)generationofmotorcommand.Basedonphysiologicalinformation and previousmodels,computationaltheoriesareproposedforthefirsttwoproblems, and ahierarchicalneural network modelisintroducedtodealwithmotorcom-mand.Combinationofthesecond and thethirdapproachwasfoundtobeveryefficientforlearningtrajectorycontrolofanindustrialroboticmanipulator[14].References[1]Allen,G.I. and Tsukahara,N.(1974).Physiol.Rev.54,957-1006.[2]Atkeson,C.G. and Hollerbach,J.M.(1985).JNeurosci.5,2318-2330.[3]Flash,T. and Hogan,N.(1985).J.Neurosci.5,1688-1703.[4]Fujita,M.(1982).Biol.Cybern.45,195-206.[5]Ito,M.(1970).Intern.J.Neurol.7,162-176.[6]Jordan,M.I. and Rosenbaum,D.A.(1988).COINSTechnicalReport$8\delta- ... problemsinFig.2.M.Jordanexplainedthisreasoninthemanytooneinversekinematicsproblemassociatedwithmotorcontrolofredundantmanipulatorswithexcessdegreesoffreedom$[6,7]$.Fig.$4b$showsthealternativecomputationalapproachwhichweproposed and calledasfeedbackerrorlearning.Thisblockdiagramincludesthemotorcortex(feedbackgain$K$ and summationoffeedback and feedforwardcommands),thetranscorticalloop(neg-ativefeedbackloop) and thecerebrocerebellum-parvocellularrednucleussystem(inversedynamicsmodel).Thetotaltorque$T(t)$fedtoanactuatorofthemanipulatorisasumofthefeedbacktorque$T_{f}(t)$ and thefeedforwardtorque$T_{1}(t)$,whichiscalculatedbytheinverse-dynamicsmodel.Theinverse-dynamicsmodelreceivesthedesiredtrajectory$\theta_{d}$representedinthebodycoordinatessuchasjointanglesormusclelengths, and monitorsthefeedbacktorque$T_{f}(t)$astheerrorsignal.Thefeedbackerrorlearningschemehasseveraladvantagesoverothermotorlearning34schemesincludingdirectinversemodeling.First,theteachingsignalorthedesiredoutputfortheneural network controllerisnotrequired.Instead,thefeedbacktorqueisusedastheerrorsignal.Second,thecontrol and learningaredonesimultaneously.Third,back-propagationoftheerrorsignalthroughthecontrolledobjectorthroughaforwardmodelofthecontrolledobject[6]isnotnecessary.Fourth,thelearningisgoaldirected.Finally,itcanresolvetheill-posednessinthesecond and thethirdproblemsinFig.2becauseofgoodcharacteristicsinherentinthefeedbackcontroller.Itisexpectedthatthefeedbacksignaltendstozeroasleamingproceeds.Wecallthislearningschemeasfeedbackerrorlearn$ing$emphasizingtheimportanceofusingthefeedbacktorque(motorcommand)astheerrorsignaloftheheterosynapticlearning.Therearetwopossibilitiesabouthowthecentralnervoussystemcomputesnonlineartransformationsrequiredformakinganinversedynamicsmodelofanonlinearcontrolledobject.Oneisthattheyarecomputedbynonlinear ... k$Trajectoriesderivedfromtheminimumtorque-changemodelarequitedifferentfrom$\backslashi$thoseoftheminimumjerkmodelunderthefollowingbehavioralsituations.(i)Bighor-todeterminetheuniquetrajectorywhichminimizes$C_{T}$.Unoetal.[18]overcamethisdifficultybydevelopinganiterativescheme,sotheuniquetrajectory and theassociatedmotorcommand(torque)canbedeterminedsimultaneously.Thatis,thethreeproblems oftrajectoryformation,coordinatestransformation and generationofmotorcommandare.solvedsimultaneouslybythisalgorithm.Mathematically,theiterativelearningschemecanberegardedasaNewton-like...
- 17
- 299
- 0
viruses and nanotechnology
- 152
- 273
- 0
Tìm thêm: hệ việt nam nhật bản và sức hấp dẫn của tiếng nhật tại việt nam xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát chương trình đào tạo gắn với các giáo trình cụ thể xác định thời lượng học về mặt lí thuyết và thực tế điều tra đối với đối tượng giảng viên và đối tượng quản lí khảo sát thực tế giảng dạy tiếng nhật không chuyên ngữ tại việt nam khảo sát các chương trình đào tạo theo những bộ giáo trình tiêu biểu nội dung cụ thể cho từng kĩ năng ở từng cấp độ xác định mức độ đáp ứng về văn hoá và chuyên môn trong ct mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn các đặc tính của động cơ điện không đồng bộ đặc tuyến mômen quay m fi p2 đặc tuyến dòng điện stato i1 fi p2 động cơ điện không đồng bộ một pha sự cần thiết phải đầu tư xây dựng nhà máy phần 3 giới thiệu nguyên liệu chỉ tiêu chất lượng theo chất lượng phẩm chất sản phẩm khô từ gạo của bộ y tế năm 2008 chỉ tiêu chất lượng 9 tr 25