The No-Sweat Guide to Network Topology
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Securing the Everywhere Perimeter Iot, BYOD, and Cloud Have Fragmented the Traditional Network Perimeter
White Paper Securing the Everywhere Perimeter IoT, BYOD, and Cloud have fragmented the traditional network perimeter. This revolution necessitates a new approach that is comprehensive, pervasive, and automated. Businesses need an effective strategy to differentiate critical applications and confidential data, partition user and devices, establish policy boundaries, and reduce their exposure. Leveraging Extreme Networks technology, organizations can hide much of their network and protect those elements that remain visible. Borders are established that defend against unauthorized lateral movement, the attack profile is reduced, and highly effective breach isolation is delivered. This improves the effectiveness of anomaly scanning and the value of specialist security appliances. Redundant network configuration is rolled back, leaving an edge that is “clean” and protected from hacking. Businesses avoid many of the conventional hooks and tools that hackers seek to exploit. Additionally, flipping the convention of access-by-default, effective access control policy enforcement denies unauthorized connectivity. The Business Imperative As businesses undertake the digital transformation, the trends of cloud, mobility, and IoT converge. Organizations need to take a holistic approach to protecting critical systems and data, and important areas for attention are the ability to isolate traffic belonging to different applications, to reduce the network’s exposure and attack profile, and to dynamically control connectivity to network assets. In addition to all of the normal challenges and demands, businesses are also starting to experience IoT. This networking phenomenon sees unconventional embedded system devices appearing, seemingly from nowhere, requiring connectivity. WWW.EXTREMENETWORKS.COM 1 IoT is being positioned as the enabling technology for all manner of “Smart” initiatives. -
Network Topologies Topologies
Network Topologies Topologies Logical Topologies A logical topology describes how the hosts access the medium and communicate on the network. The two most common types of logical topologies are broadcast and token passing. In a broadcast topology, a host broadcasts a message to all hosts on the same network segment. There is no order that hosts must follow to transmit data. Messages are sent on a First In, First Out (FIFO) basis. Token passing controls network access by passing an electronic token sequentially to each host. If a host wants to transmit data, the host adds the data and a destination address to the token, which is a specially-formatted frame. The token then travels to another host with the destination address. The destination host takes the data out of the frame. If a host has no data to send, the token is passed to another host. Physical Topologies A physical topology defines the way in which computers, printers, and other devices are connected to a network. The figure provides six physical topologies. Bus In a bus topology, each computer connects to a common cable. The cable connects one computer to the next, like a bus line going through a city. The cable has a small cap installed at the end called a terminator. The terminator prevents signals from bouncing back and causing network errors. Ring In a ring topology, hosts are connected in a physical ring or circle. Because the ring topology has no beginning or end, the cable is not terminated. A token travels around the ring stopping at each host. -
Topological Optimisation of Artificial Neural Networks for Financial Asset
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by LSE Theses Online The London School of Economics and Political Science Topological Optimisation of Artificial Neural Networks for Financial Asset Forecasting Shiye (Shane) He A thesis submitted to the Department of Management of the London School of Economics for the degree of Doctor of Philosophy. April 2015, London 1 Declaration I certify that the thesis I have presented for examination for the MPhil/PhD degree of the London School of Economics and Political Science is solely my own work other than where I have clearly indicated that it is the work of others (in which case the extent of any work carried out jointly by me and any other person is clearly identified in it). The copyright of this thesis rests with the author. Quotation from it is permitted, provided that full acknowledgement is made. This thesis may not be reproduced without the prior written consent of the author. I warrant that this authorization does not, to the best of my belief, infringe the rights of any third party. 2 Abstract The classical Artificial Neural Network (ANN) has a complete feed-forward topology, which is useful in some contexts but is not suited to applications where both the inputs and targets have very low signal-to-noise ratios, e.g. financial forecasting problems. This is because this topology implies a very large number of parameters (i.e. the model contains too many degrees of freedom) that leads to over fitting of both signals and noise. -
LAB MANUAL for Computer Network
LAB MANUAL for Computer Network CSE-310 F Computer Network Lab L T P - - 3 Class Work : 25 Marks Exam : 25 MARKS Total : 50 Marks This course provides students with hands on training regarding the design, troubleshooting, modeling and evaluation of computer networks. In this course, students are going to experiment in a real test-bed networking environment, and learn about network design and troubleshooting topics and tools such as: network addressing, Address Resolution Protocol (ARP), basic troubleshooting tools (e.g. ping, ICMP), IP routing (e,g, RIP), route discovery (e.g. traceroute), TCP and UDP, IP fragmentation and many others. Student will also be introduced to the network modeling and simulation, and they will have the opportunity to build some simple networking models using the tool and perform simulations that will help them evaluate their design approaches and expected network performance. S.No Experiment 1 Study of different types of Network cables and Practically implement the cross-wired cable and straight through cable using clamping tool. 2 Study of Network Devices in Detail. 3 Study of network IP. 4 Connect the computers in Local Area Network. 5 Study of basic network command and Network configuration commands. 6 Configure a Network topology using packet tracer software. 7 Configure a Network topology using packet tracer software. 8 Configure a Network using Distance Vector Routing protocol. 9 Configure Network using Link State Vector Routing protocol. Hardware and Software Requirement Hardware Requirement RJ-45 connector, Climping Tool, Twisted pair Cable Software Requirement Command Prompt And Packet Tracer. EXPERIMENT-1 Aim: Study of different types of Network cables and Practically implement the cross-wired cable and straight through cable using clamping tool. -
Recent Results in Network Mapping: Implications on Cybersecurity
Recent Results in Network Mapping: Implications on Cybersecurity Robert Beverly, Justin Rohrer, Geoffrey Xie Naval Postgraduate School Center for Measurement and Analysis of Network Data (CMAND) July 27, 2015 DHS S&T Cyber Seminar R. Beverly, J. Rohrer, G. Xie (NPS) Advances in Network Mapping DHS S&T Cyber Seminar 1 / 50 Intro Outline 1 Intro 2 Background 3 Project 4 Recent Advances 5 Future R. Beverly, J. Rohrer, G. Xie (NPS) Advances in Network Mapping DHS S&T Cyber Seminar 2 / 50 Intro CMAND Lab CMAND Lab @ NPS Naval Postgraduate School Navy’s Research University Located in Monterey, CA '1500 students, military officers, foreign military, DoD civilians Center for Measurement and Analysis of Network Data 3 NPS professors, 2 NPS staff 1 PhD student, rotating cast of ∼ 5-8 Master’s students Collaborators: CAIDA, ICSI, MIT, Akamai, Cisco, Verisign, ::: Focus: Large-scale network measurement and data mining Network architecture and security R. Beverly, J. Rohrer, G. Xie (NPS) Advances in Network Mapping DHS S&T Cyber Seminar 3 / 50 Intro Output Select Recent Publications (bold DHS-supported): 1 Luckie, Beverly, Wu, Allman, Claffy, “Resilience of Deployed TCP to Blind Off-Path Attacks,” in ACM IMC 2015 2 Huz, Bauer, Claffy, Beverly, “Experience in using Mechanical Turk for Network Measurement,” in ACM C2BID 2015 3 Beverly, Luckie, Mosley, Claffy, “Measuring and Characterizing IPv6 Router Availability,” in PAM 2015 4 Beverly, Berger, “Server Siblings: Identifying Shared IPv4/IPv6 Infrastructure,” in PAM 2015 5 Alt, Beverly, Dainotti, “Uncovering Network Tarpits with Degreaser,” in ACSAC 2014 6 Craven, Beverly, Allman, “A Middlebox-Cooperative TCP for a non End-to-End Internet,” in ACM SIGCOMM 2014 7 Baltra, Beverly, Xie, “Ingress Point Spreading: A New Primitive for Adaptive Active Network Mapping,” in PAM 2014 R. -
A Disjunctive Internet Cartographer∗
DisCarte: A Disjunctive Internet Cartographer∗ Rob Sherwood Adam Bender Neil Spring University of Maryland University of Maryland University of Maryland [email protected] [email protected] [email protected] ABSTRACT 1. INTRODUCTION Internet topology discovery consists of inferring the inter-router Knowledge of the global topology of the Internet allows network connectivity (“links”) and the mapping from IP addresses to routers operators and researchers to determine where losses, bottlenecks, (“alias resolution”). Current topology discovery techniques use failures, and other undesirable and anomalous events occur. Yet TTL-limited “traceroute” probes to discover links and use direct this topology remains largely unknown: individual operators may router probing to resolve aliases. The often-ignored record route know their own networks, but neighboring networks are amorphous (RR) IP option provides a source of disparate topology data that clouds. The lack of precise global topology information hinders could augment existing techniques, but it is difficult to properly network diagnostics [42, 24, 15, 17], inflates IP path lengths [10, align with traceroute-based topologies because router RR imple- 39, 36, 43], reduces the accuracy of Internet models [46, 25, 16], mentations are under-standardized. Correctly aligned RR and trace- and encourages overlay networks to ignore the underlay [2, 27]. route topologies have fewer false links, include anonymous and Because network operators rarely publish their topologies, and hidden routers, and discover aliases for routers that do not respond the IP protocols have little explicit support for exposing the In- to direct probing. More accurate and feature-rich topologies ben- ternet’s underlying structure, researchers must infer the topology efit overlay construction and network diagnostics, modeling, and from measurement and observation. -
Edge-Aware Inter-Domain Routing for Realizing Next-Generation Mobility Services∗
Edge-Aware Inter-Domain Routing for Realizing Next-Generation Mobility Services∗ Shreyasee Mukherjee, Shravan Sriram, Dipankar Raychaudhuri WINLAB, Rutgers University, North Brunswick, NJ 08902, USA Email: fshreya, sshravan, [email protected] Abstract—This work describes a clean-slate inter-domain rout- Emerging Internet requirements have motivated several ing protocol designed to meet the needs of the future mobile clean-slate Internet design projects such as Named Data Net- Internet. In particular, we describe the edge-aware inter-domain work (NDN) [4], XIA [5] and MobilityFirst [6]. Previously routing (EIR) protocol which provides new abstractions of aggregated-nodes (aNodes) and virtual-links (vLinks) for express- published works on these architectures have addressed mobil- ing network topologies and edge network properties necessary ity requirements at the intra-domain level [7], [8], but support to address next-generation mobility related routing scenarios for end-to-end mobility services across multiple networks which are inadequately supported by the border gateway protocol remains an important open problem. In this paper, we first (BGP) in use today. Specific use-cases addressed by EIR include motivate the need for clean-slate approaches to inter-domain, emerging mobility service scenarios such as multi-homing across WiFi and cellular, multipath routing over several access networks, and then describe the key features of a specific new design and anycast access from mobile devices to replicated cloud called EIR (edge-aware inter-domain routing) intended to services. Simulation results for protocol overhead are presented meet emerging requirements. The proposed protocol provides for a global-scale Caida topology, leading to an identification new abstractions for expressing network topology and edge of parameters necessary to obtain a good balance between network properties necessary to support a full range of mo- overhead and routing table convergence time. -
Networking Solutions for Connecting Bluetooth Low Energy Devices - a Comparison
292 3 MATEC Web of Conferences , 0200 (2019) https://doi.org/10.1051/matecconf/201929202003 CSCC 2019 Networking solutions for connecting bluetooth low energy devices - a comparison 1,* 1 1 2 Mostafa Labib , Atef Ghalwash , Sarah Abdulkader , and Mohamed Elgazzar 1Faculty of Computers and Information, Helwan University, Egypt 2Vodafone Company, Egypt Abstract. The Bluetooth Low Energy (BLE) is an attractive solution for implementing low-cost, low power consumption, short-range wireless transmission technology and high flexibility wireless products,which working on standard coin-cell batteries for years. The original design of BLE is restricted to star topology networking, which limits network coverage and scalability. In contrast, other competing technologies like Wi-Fi and ZigBee overcome those constraints by supporting different topologies such as the tree and mesh network topologies. This paper presents a part of the researchers' efforts in designing solutions to enable BLE mesh networks and implements a tree network topology which is not supported in the standard BLE specifications. In addition, it discusses the advantages and drawbacks of the existing BLE network solutions. During analyzing the existing solutions, we highlight currently open issues such as flooding-based and routing-based solutions to allow end-to-end data transmission in a BLE mesh network and connecting BLE devices to the internet to support the Internet of Things (IoT). The approach proposed in this paper combines the default BLE star topology with the flooding based mesh topology to create a new hybrid network topology. The proposed approach can extend the network coverage without using any routing protocol. Keywords: Bluetooth Low Energy, Wireless Sensor Network, Industrial Wireless Mesh Network, BLE Mesh Network, Direct Acyclic Graph, Time Division Duplex, Time Division Multiple Access, Internet of Things. -
A Technique for Network Topology Deception
A Technique for Network Topology Deception Samuel T. Trassare Robert Beverly David Alderson Naval Postgraduate School Naval Postgraduate School Naval Postgraduate School Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Civilian and military networks are continually topological deception may provide the perception of a network probed for vulnerabilities. Cyber criminals, and autonomous that resembles, or completely disguises, the underlying true botnets under their control, regularly scan networks in search network by varying attributes such as nodes, node count or of vulnerable systems to co-opt. Military and more sophisticated the redundancy and diversity of links between nodes. adversaries may also scan and map networks as part of re- connaissance and intelligence gathering. This paper focuses on For instance, the outward topology presented to an attacker adversaries attempting to map a network’s infrastructure, i.e., may be chosen to protect high-value nodes or links within the the critical routers and links supporting a network. We develop network. Thus we may cause the adversary to take specific a novel methodology, rooted in principles of military deception, actions, such as attacking highly fault-tolerant nodes that for deceiving a malicious traceroute probe and influencing the appear weak, or avoiding weak nodes that appear highly structure of the network as inferred by a mapping adversary. Our Linux-based implementation runs as a kernel module at fault-tolerant. The methodology accommodates any true input a border router to present a deceptive external topology. We topology, while the deceptive topology can be modified easily construct a proof-of-concept test network to show that a remote and frequently to further confound the adversarys efforts to adversary using traceroute to map a defended network can be identify vulnerabilities in the network infrastructure. -
Understanding CIDR Notation Used for IP Address Display on 2500 Series® Processors
Application Note 2500 Series® Programmable Automation Control System Understanding CIDR Notation Used for IP Address Display on 2500 Series® Processors Newer CTI products featuring Ethernet ports, such as the 2500 Series® processor, the 2500P-ECC1, and 2500P-ACP1, display the IP address of the product on the front panel multi-segment display. This information has proven very useful to most customers, facilitating the connection of browsers to obtain diagnostic data and providing visual confirmation of the operating IP address. Beginning with Version 8.02 of the 2500 Series® processor firmware, we’ve added the capability to display the subnet mask in CIDR notation. This gives users more complete information about the IP address setting to allow them to easily get connected. This application note shows how to interpret the CIDR notation displayed on the front of the processor. What is CIDR Notation? CIDR notation (Classless Inter-Domain Routing) is an alternate method of representing a subnet mask. It is simply a count of the number of network bits (bits that are set to 1) in the subnet mask. Subnet mask bits are explained in a following section. The CIDR number is typically preceded by a slash “/” and follows the IP address. For example, an IP address of 131.10.55.70 with a subnet mask of 255.0.0.0 (which has 8 network bits) would be represented as 131.10.55.70 /8. CIDR notation is more concise method for designating the subnet mask. Compared to Dotted Decimal notation, which represents the mask as four values, each representing the decimal value of an octet of the mask, the CIDR format represents the mask as a single value. -
LAN Topologies
0390.book Page 13 Wednesday, November 14, 2001 3:28 PM C H A P T E R 2 LAN Topologies The application in use, such as multimedia, database updates, e-mail, or file and print sharing, generally determines the type of data transmission. LAN transmissions fit into one of three categories: • Unicast • Multicast • Broadcast Unicast With unicast transmissions, a single packet is sent from the source to a destination on a network. The source-node addresses the packet by using the network address of the destination node. The packet is then forwarded to the destination network and the network passes the packet to its final destination. Figure 2-1 is an example of a unicast network. Figure 2-1 Unicast Network Server Client Client Client 0390.book Page 14 Wednesday, November 14, 2001 3:28 PM 14 Chapter 2: LAN Topologies Multicast With a multicast transmission, a single data packet is copied and forwarded to a specific subset of nodes on the network. The source node addresses the packet by using a multicast address. For example, the TCP/IP suite uses 224.0.0.0 to 239.255.255.255. The packet is then sent to the network, which makes copies of the packet and sends a copy to each segment with a node that is part of the multicast address. Figure 2-2 is an example of a multicast network. Figure 2-2 Multicast Network Server Client Client Client Broadcast Broadcasts are found in LAN environments. Broadcasts do not traverse a WAN unless the Layer 3 edge-routing device is configured with a helper address (or the like) to direct these broadcasts to a specified network address. -
Optimizing the Topology of Bluetooth Wireless Personal Area Networks Marco Ajmone Marsan, Carla F
Optimizing the Topology of Bluetooth Wireless Personal Area Networks Marco Ajmone Marsan, Carla F. Chiasserini, Antonio Nucci, Giuliana Carello, Luigi De Giovanni Abstract— In this paper, we address the problem of determin- ing an optimal topology for Bluetooth Wireless Personal Area Networks (BT-WPANs). In BT-WPANs, multiple communication channels are available, thanks to the use of a frequency hopping technique. The way network nodes are grouped to share the same channel, and which nodes are selected to bridge traffic from a channel to another, has a significant impact on the capacity and the throughput of the system, as well as the nodes’ battery life- time. The determination of an optimal topology is thus extremely important; nevertheless, to the best of our knowledge, this prob- lem is tackled here for the first time. Our optimization approach is based on a model derived from constraints that are specific to the BT-WPAN technology, but the level of abstraction of the model is such that it can be related to the slave slave & bridge more general field of ad hoc networking. By using a min-max for- mulation, we find the optimal topology that provides full network master master & bridge connectivity, fulfills the traffic requirements and the constraints posed by the system specification, and minimizes the traffic load of Fig. 1. BT-WPAN topology. the most congested node in the network, or equivalently its energy consumption. Results show that a topology optimized for some traffic requirements is also remarkably robust to changes in the traffic pattern. Due to the problem complexity, the optimal so- Master and slaves send and receive traffic alternatively, so as lution is attained in a centralized manner.