Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Proposal for System Analysis and Desing

220 vues

Publié le

Its for a system analysis and design project work about computer network traffic analysis and there have another project for Human Computer Interface.

Publié dans : Données & analyses
  • Login to see the comments

  • Soyez le premier à aimer ceci

Proposal for System Analysis and Desing

  1. 1. Experiment Report StudentName:Md.KhazaMainUddin(吴迪) StudentIDNumber:2015220801016 Name:NTHATUALEXKINYUA ID:2015220801009 Name:NkenagFavour ID:2015220801019 Instructor:Prof.DingYi ExperimentLocation:ResearchBuilding#B510
  2. 2. ExperimentTime:2017/05/20 PROPOSAL FOR SYSTEM ANALYSIS AND DESIGN COMPUTER NETWORK TRAFFIC ANALYSIS  Project description An unknown number of attacks on government computer networksoccur every day. Some of these attacks are successful and/or undetected and can have disastrous consequences. One of the aims of this project is to detectand ultimately prevent these attacks. In today’s digital age, we are surrounded by massive amounts of data. In many cases, we do not know the best way to store, manage, integrate, obtain information from, or visualize it. Such is the case for data regarding packet flows over a network. Research involving the analysis of this type of data is in its early stages. Interesting problems such as behavioral authentication of server flows and intrusion detection are beginning to be solved using this type of data. We are particularly interested in analyzing network data for the purposes of anomaly detection (attacks, masquerades, and networkinterruptions), user profiling, workload management, and application verification.
  3. 3. Our tasks include: 1. processing the data consisting of packets into a useful format 2. extracting information from the data flows 3. developing traffic flow models for the purposes mentioned above 4. visualizing the data 5. recognizing data patterns for the purposes mentioned above. The client for this projectis my honorable prof. Mr. Yi Ding from University of Electronic Science and Technology of China. Computer Network Traffic Analysis Requirements:  Proper network planning can save time and expense, and can ensure a timely deployment of Microsoft Speech Server (MSS).  Monitoring network bandwidth and traffic patterns at an interface specific level  Drill drown into interface level details to discover traffic patterns and device performance  Get real-time-insight into your network bandwidth with one-minute granularity reports  Network forensics and security analysis-detect a broad spectrum and internal security threads using continuous stream mining engine technology.  Track network anomalies that surpass your network firewall.  Network planning involves: knowing the number of telephone lines and the types of associated services and equipment that are needed to support telephony (voice-only) applications; anticipating increased TCP/IP network traffic; and subsequently determining the optimal network architecture needed for the system.  TCP/IP Network: A physical TCP/IP network is required for MSS. All MSS computers, Web servers and load balancers communicate using this network. Install at least one network adapter in each computer running MSS. The use of a firewall between MSS computers is not supported. To determine network planning requirements  Load Balancers – This section applies to Enterprise Edition only. Load balancing is required whenever two or more computers are used for running Speech Engine Services (SES), Telephony Application Services (TAS), or Web server software in a server farm or cluster configuration. Either hardware or software load balancing can be used.  A TAS server farm, a Private Branch Exchange (PBX) unit is needed to provide load balancing and call routing functionality.  Telephony Boards – Each computer that runs Telephony Application Services (TAS) for supporting telephony (voice-only) applications requires telephony interface manager software and possibly a hardware telephony board that accepts telephone line connections.
  4. 4.  Data Sets-Testing and evaluating is an important of network traffic analysis. In order to evaluate the effectiveness of all research works using similar standard list is recommended to use standard data set. There are several standard data sets used throughout the recent years. We enlist a few important data sets that are being used by researchers for network traffic analysis.  DARPA data set: KDD cup data has been the most widely used for evaluating of network traffic analysis with respect to intrusion detection. This data set is presented by Stolon at al.  NSL-KDD data set: The NSL-KDD is publicly available for researchers and it is improved version of original KDD cup data set  CAIDA data sets: This data set contains DoS attacks  Waikato data set: It contains internet storage  Supervised and Unsupervised method.  Global and Local methods  Top-down and bottom-up: Top-down (splitting) discretization methods begin with long as and value of interval then divide values into smaller intervals at each iteration.  Direct and Incremental method.  Feature Selection methods: Feature selection (FS) is a preprocessing method to be applied before applying data mining techniques. Feature selection used to improve the data mining techniques performance through the removal of redundant or irrelevant attributes.  We have identified some techniques including principal component analysis, information entropy, rough set theory, feature selection is used frequently for preprocessing network traffic data  Data mining: Data mining plays an important role in analyzing network traffic.  Clustering technique: Clustering is the process of partitioning data into groups according to certain characteristics of data  Hybrid models-The hybrid models are a combination of two or more approaches for analysis of network traffic. The hybrid model achieved good results in the analysis of network traffic.  time-series Graph Mining for detecting anomalous packets from network traffic. Evaluation metrics: -In data mining techniques, many different metrics are used to investigate the data mining techniques. The detection rate, false positive rate, accuracy and time cost metrics are employed for measuring the performance of classifier for different data set. A number of metrics exist to express predictive accuracy. The metrics used using confusion matrix. Each metric is defined as below a) True negatives (TN) Total number of packets correctly classified. b) True positives(TP) Total numbers of malicious packets correctly classified. c) False negatives(FN) False Negatives is total numbers of malicious packets incorrectly classified as normal packets. d) False Positives (FP) False positive is Total numbers of normal packets incorrectly classified as malicious packets. e) Detection Rate (DR)
  5. 5. It is the ratio of total numbers of attacks detected divided by total numbers of false positive plus total number of true negative f) Precision Rate (PR) It is the ratio of total numbers of TP divided by total number of TP plus total number of FP. g) Recall Rate (RR) It is ratio of total numbers of TP divided by total number of TP plus total number of FN. h) Overall Rate (OR) It is ratio of total numbers of TP pulse total number of TN divided by total number of TP plus total number of FP plus total number of plus total number of TN. i) Sensitivity It is the ratio of total numbers of TP divided by total number of FP j) Specificity It is the ratio of total numbers of TN divided by total number of FN. k) Accuracy It is the ratio of total numbers of TP plus total numbers of TN divided by total number of FP plus total number of FN. l) Percentage of Successful prediction (PSP) It is the ratio of total numbers of successful instances classified divided by the total numbers of actual instance.  Traffic Flows: The nature of internet traffic can better be understood by knowing the concept of the flow. Flow is the sequence of packets or a packet that belonged to certain network sessions between two hosts but delimited by the setting of flow generation or analyzing tool. the definition of flow may also be coined as, a series of packets that share the same source IP, destination IP, source port, destination port and the protocol. E-R Diagram: Yes No Application generates traffic Sends Packet to socket Sends packets to transport layer Sends packet to network layer Packet arrives at device Packet for host? Drops packet Sends packet to network layer Forward packet Sends packet to transport layer Drops packet Looks up route to destination TRANSPORT LAYER (IP)
  6. 6. Experiment Results: App-centric Monitoring and Shape app traffic: -  Recognize and classify non-standard application that hog your network bandwidth using NetFlow Analyzer.  Reconfigure policieswith traffic shaping technique via ACL or class-based policy to gain control over bandwidth-hungry application.  NetFlow analyzer leverages on Cisco NBAR to give you deep visibilityinto layer 7 traffic and recognize applications that use dynamic port numbers or hide behind well-known ports. Capacity Planning and Billing:  Make informed decisions on your bandwidth using capacity planning reports.  Measure your bandwidth growth over a period time long term reporting.  Accurate trend over extended historic periods  Generate on demand billing for accounting and departmental chargebacks. Monitor Voice, Video and Data effectively:  Analyze IP service levels for network-based applications and services using NetFlow analyzer IP SLA monitor  Ensure high level of data and voice communication quality using Cisco IP SLA technology  Keep a tap on key performance metrics of voice and data traffic.
  7. 7. Some common thingsthat we need:  A computer Mouse  A touch screen/Normalscreen  A program on your Mac or Windows that include a translation, icons of disk drives, and folder.  Pull-down menus Principles of Human-Computer Interface Design: Recognize Diversity- In order to recognize diversity, the designer, must take into account the type of user frequenting system, ranging from novice user, knowledgeable but intermittentuser and expert frequent user. Each type of user expectsthe screen layout to accommodate their desires, novicesneeding extensive help, experts wanting to get where they want to go as quickly as possible. Accommodating both styles on the same page can be quite challenging. You can addressthe differences in users by including both menu or icon choices as well as commands (i.e. Command or Control P for Print as well as an icon or menu entry), or providing an option for both full descriptive menus and single letter commands.
  8. 8. Eight Golden Rules of Interface Design: 1. Strive for consistency  consistent sequences of actions should be required in similar situations  identical terminology should be used in prompts, menus, and help screens  consistent color, layout, capitalization, fonts, and so on should be employed throughout 2. Enable frequent users to use shortcuts  to increase the pace of interaction use abbreviations, special keys, hidden commands, and macros 3. Offer informative feedback  for every user action, the system should respond in some way (in web design, this can be accomplished by DHTML - for example, a button will make a clicking sound or change color when clicked to show the user something has happened) 4. Design dialogs to yield closure  Sequences of actions should be organized into groups with a beginning, middle, and end. The informative feedback at the completion of a group of actions shows the user their activity has completed successfully 5. Offer error prevention and simple error handling  design the form so that users cannot make a serious error; for example, prefer menu selection to form fill-in and do not allow alphabetic characters in numeric entry fields  if users make an error, instructions should be written to detect the error and offer simple, constructive, and specific instructions for recovery  segment long forms and send sections separately so that the user is not penalized by having to fill the form in again - but make sure you inform the user that multiple sections are comingup 6. Permit easy reversal of actions 7. Support internal locus of control  Experienced users want to be in charge. Surprising system actions, tedious sequences of data entries, inability or difficulty in obtaining necessary information, and inability to produce the action desired all build anxiety and dissatisfaction 8. Reduce short-term memory load
  9. 9.  A human can store only 7 (plus or minus 2) pieces of information in their short term memory. You can reduce shortterm memory load by designing screens where options are clearly visible, or using pull-down menus and icons Prevent Errors - The third principle is to prevent errors whenever possible. Steps can be taken to design so that errors are less likely to occur, using methods such as organizing screensand menus functionally, designing screensto be distinctive and making it difficult for usersto commit irreversible actions. Expect users to make errors, try to anticipate where they will go wrong and design with those actions in mind. Norman's Research One researcher who has contributed extensively to the field of human-computer interface design is Donald Norman. This psychologist has taken insights from the field of industrial product design and applied them to the design of user interfaces. According to Norman, design should: Use both knowledge in the world and knowledge in the head. Knowledge in the world is overt - we don't have to overload our short term memoryby having to remember too many things (icons, buttons and menus provide us with knowledge in the world - we don't have to remember the command for printing, it's there in front of us). On the other hand, while knowledge in the head may be harder to retrieve and involves learning, it is more efficient for tasks which are used over and over again “make it easy to determine what actions are possible at any moment (make use of constraints)". For example:  well-designed things can only be put together certain ways (the trapezoidal SCSI cable is an example of good design - I can only plug it in one way)  menus only display the actions which can be carried out at that time (other options are dimmed). "Make things visible, including the conceptual model of the system, the alternative actions and the results of actions". You can also provide an overview map of your site so that your user can design their own mental map of how things work. "Make it easy to evaluate the current state of the system". You can do that by providing feedback in the form of messages or flashing buttons. "Follow natural mappingsbetween intentions and the required actions, between actions and the resulting effect; and between the information that is visible and the interpretation of the system state". For example:
  10. 10.  It should be obvious what the function of a button or menu is - use conventionsalready established for the web, don't try to design something which changes what people are familiar with.  The underlined phrase on a web page is a well-known clue that a link is present. From past experience, users understand that clicking on an underlined phrase should take them somewhere else. "In other words, make sure that the user can figure out what to do, and (2) the user can tell what is going on. Summary How can we relate the recommendations from human-computer interface design research directly to web design? 1. Recognize Diversity  make your main navigation area fast loading for repeat users  provide a detailed explanation of your topics, symbols, and navigation options for new users  provide a text index for quick access to all pages of the site  ensure your pages are readable in many formats, to accommodate users who are blind or deaf, users with old versions of browsers, lynx users, users on slow modems or those with graphics turned off 2. Strive for consistency in:  menus  help screens  color  layout  capitalization  fonts  sequences of actions 3. Offer informative feedback - rollover buttons, sounds when clicked 4. Build in error prevention in online forms 5. Give users control as much as possible 6. Reduce short term memory load by providing menus, buttons or icons. If you use icons, make sure you have a section which explains what they mean. Make things obvious by using constraints - grayed out items in menus for options not available in that page 7. Make use of web conventions such as underlined links, color change in links for visited pages, common terminology 8. Provide a conceptual model of your site using a site map or an index

×