ACS Configuration Mode Commands
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Security Analytics 8.1.X Reference Guide
Security Analytics 8.1.x Reference Guide Updated: Friday, November 15, 2019 Security Analytics Reference Guide Security Analytics 8.1 Copyrights, Trademarks, and Intellectual Property Copyright © 2019 Symantec Corp. All rights reserved. Symantec, the Symantec Logo, the Checkmark Logo, Blue Coat, and the Blue Coat logo are trademarks or registered trademarks of Symantec Corp. or its affiliates in the U.S. and other countries. Other names may be trademarks of their respective owners. This document is provided for informational purposes only and is not intended as advertising. All warranties relating to the information in this document, either express or implied, are disclaimed to the maximum extent allowed by law. The information in this document is subject to change without notice. THE DOCUMENTATION IS PROVIDED "AS IS" AND ALL EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE DISCLAIMED, EXCEPT TO THE EXTENT THAT SUCH DISCLAIMERS ARE HELD TO BE LEGALLY INVALID. SYMANTEC CORPORATION SHALL NOT BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH THE FURNISHING, PERFORMANCE, OR USE OF THIS DOCUMENTATION. THE INFORMATION CONTAINED IN THIS DOCUMENTATION IS SUBJECT TO CHANGE WITHOUT NOTICE. SYMANTEC CORPORATION PRODUCTS, TECHNICAL SERVICES, AND ANY OTHER TECHNICAL DATA REFERENCED IN THIS DOCUMENT ARE SUBJECT TO U.S. EXPORT CONTROL AND SANCTIONS LAWS, REGULATIONS AND REQUIREMENTS, AND MAY BE SUBJECT TO EXPORT OR IMPORT REGULATIONS IN OTHER COUNTRIES. YOU AGREE TO COMPLY STRICTLY WITH THESE LAWS, REGULATIONS AND REQUIREMENTS, AND ACKNOWLEDGE THAT YOU HAVE THE RESPONSIBILITY TO OBTAIN ANY LICENSES, PERMITS OR OTHER APPROVALS THAT MAY BE REQUIRED IN ORDER TO EXPORT, RE-EXPORT, TRANSFER IN COUNTRY OR IMPORT AFTER DELIVERY TO YOU. -
Uila Supported Apps
Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage. -
Cisco SCA BB Protocol Reference Guide
Cisco Service Control Application for Broadband Protocol Reference Guide Protocol Pack #60 August 02, 2018 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUT ARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS. THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE. IF YOU ARE UNABLE TO LOCATE THE SOFTWARE LICENSE OR LIMITED WARRANTY, CONTACT YOUR CISCO REPRESENTATIVE FOR A COPY. The Cisco implementation of TCP header compression is an adaptation of a program developed by the University of California, Berkeley (UCB) as part of UCB’s public domain version of the UNIX operating system. All rights reserved. Copyright © 1981, Regents of the University of California. NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS” WITH ALL FAULTS. CISCO AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE. IN NO EVENT SHALL CISCO OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF CISCO OR ITS SUPPLIERS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. -
Traffic Recognition in Cellular Networks
IT 09 010 Examensarbete 30 hp March 2009 Traffic Recognition in Cellular Networks Alexandros Tsourtis Institutionen för informationsteknologi Department of Information Technology Abstract Traffic Recognition in Cellular Networks Alexandros Tsourtis Teknisk- naturvetenskaplig fakultet UTH-enheten Traffic recognition is a powerful tool that could provide valuable information about the network to the network operator. The association of additional information Besöksadress: carried by control packets in the core cellular network would help identify the traffic Ångströmlaboratoriet Lägerhyddsvägen 1 that stem from each user and acquire statistics about the usage of the network Hus 4, Plan 0 resources and aid detecting problems that only one or a small group of users experience. The program used is called TAM and it operates only on Internet traffic. Postadress: The enhancements of the program included the support for the Gn and Gi interfaces Box 536 751 21 Uppsala of the cellular network where the control traffic is transferred via the GTP and RADIUS protocols respectively. Furthermore, the program output is verified using Telefon: two other tools that operate on the field with satisfactory results and weaknesses 018 – 471 30 03 were detected on all tools studied. Finally, the results of TAM were demonstrated Telefax: with conclusions being drawn about the statistics of the network. The thesis 018 – 471 30 00 concludes with suggestions for improving the program in the future. Hemsida: http://www.teknat.uu.se/student Handledare: Tord Westholm Ämnesgranskare: Ivan Christoff Examinator: Anders Jansson IT 09 010 Tryckt av: Reprocentralen ITC Acknowledgements My thanks goes first to my supervisor in Ericsson, Tord Westholm for sug- gesting valuable comments, helping to structure the work and the presenta- tion and allowing me to take decisions concerning the project direction. -
IPFS and Friends: a Qualitative Comparison of Next Generation Peer-To-Peer Data Networks Erik Daniel and Florian Tschorsch
1 IPFS and Friends: A Qualitative Comparison of Next Generation Peer-to-Peer Data Networks Erik Daniel and Florian Tschorsch Abstract—Decentralized, distributed storage offers a way to types of files [1]. Napster and Gnutella marked the beginning reduce the impact of data silos as often fostered by centralized and were followed by many other P2P networks focusing on cloud storage. While the intentions of this trend are not new, the specialized application areas or novel network structures. For topic gained traction due to technological advancements, most notably blockchain networks. As a consequence, we observe that example, Freenet [2] realizes anonymous storage and retrieval. a new generation of peer-to-peer data networks emerges. In this Chord [3], CAN [4], and Pastry [5] provide protocols to survey paper, we therefore provide a technical overview of the maintain a structured overlay network topology. In particular, next generation data networks. We use select data networks to BitTorrent [6] received a lot of attention from both users and introduce general concepts and to emphasize new developments. the research community. BitTorrent introduced an incentive Specifically, we provide a deeper outline of the Interplanetary File System and a general overview of Swarm, the Hypercore Pro- mechanism to achieve Pareto efficiency, trying to improve tocol, SAFE, Storj, and Arweave. We identify common building network utilization achieving a higher level of robustness. We blocks and provide a qualitative comparison. From the overview, consider networks such as Napster, Gnutella, Freenet, BitTor- we derive future challenges and research goals concerning data rent, and many more as first generation P2P data networks, networks. -
Skype Voip Service- Architecture and Comparison Hao Wang Institute of Communication Networks and Computer Engineering University of Stuttgart Mentor: Dr.-Ing
INFOTECH Seminar Advanced Communication Services (ACS), 2005 Skype VoIP service- architecture and comparison Hao Wang Institute of Communication Networks and Computer Engineering University of Stuttgart Mentor: Dr.-Ing. S. Rupp ABSTRACT Skype is a peer-to-peer (P2P) overlay network for VoIP and other applications, developed by KaZaa in 2003. Skype can traverse NAT and firewall more efficiently than traditional VoIP networks and it offers better voice quality. To find and locate users, Skype uses “supernodes” that are running on peer machines. In contrast, traditional systems use fixed central servers. Also Skype uses encrypted media channel to protect the dada. The main contribution of this article is illustrating the architecture and components of Skype networks and basically analyzing key Skype functions such as login, NAT and firewall traversal. Furthermore, it contains comparisons of Skype networks with VoIP networks regarding different scenarios. On that basis it reveals some reasons why Skype has much better performance than previous VoIP products. Keywords Voice over IP (VoIP), Skype, Peer-to-peer (p2p), Super Node (SN) 1. Introduction It is expected that real-time person-to-person communication, like IP telephony (VoIP), instant messaging, voice, video and data collaboration will be the next big wave of Internet usage. VoIP refers to technology that enables routing of voice conversations over the Internet or any other IP network. Another technology is peer-to-peer, which is used for sharing content like audio, video, data or anything in digital format. Skype is a combination of these two technologies. It has much better performance by making use of advantages of both technologies. -
Vysoké Učení Technické V Brně Detekcia Seedboxov V Sieti Bittorrent
VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA INFORMAČNÍCH TECHNOLOGIÍ FACULTY OF INFORMATION TECHNOLOGY ÚSTAV INFORMAČNÍCH SYSTÉMŮ DEPARTMENT OF INFORMATION SYSTEMS DETEKCIA SEEDBOXOV V SIETI BITTORRENT DETECTION OF SEEDBOXES INBITTORRENT NETWORK BAKALÁŘSKÁ PRÁCE BACHELOR’S THESIS AUTOR PRÁCE MARTIN GRNÁČ AUTHOR VEDOUCÍ PRÁCE Ing. LIBOR POLČÁK, Ph.D. SUPERVISOR BRNO 2018 Abstrakt Bakalárska práca sa venuje problematike sledovania a detekcie seedboxov v sieti BitTorrent za pomoci technológie netflow. V teoretickej časti je predstavená a popísaná architektúra P2P, základy a kľúčové pojmy architektúry BitTorrent a teoretická definícia seedboxu. Taktiež sú tu rozobrané metódy pomocou ktorých sa dá detekovať sieťová komunikácia a ďalej je uvedená analýza seedboxov v sieti a hľadanie ich charakteristík. Na základe týchto znalostí a sledovaní je navrhnutá sada nástrojov, ktoré napomáhajú ich detekcií. V praktickej časti je predstavená implementácia týchto nástrojov a výsledky ich testovania. Abstract Bachelor’s thesis is focused on issues with monitoring and detection of seedboxes in Bit- Torrent network with help of netflow technology. In the theoretical part of this thesis is introduced and described P2P architecture, basics and key terms of BitTorrent architec- ture and theoretical definition of seedbox. There are also described specific methods which can be used for detection of network communication and next there is described process of seedbox analysis in network and process of finding its characteristics. On base of this kno- wledge and observations is designed a set of tools,which help with detection of seedboxes. In the practical part of this work is presented implementation of these tools and results of testing these tools. Kľúčové slová BitTorrent, seedbox, detekcia, netflow, analýza, sieťová prevádzka, P2P, netflow Keywords BitTorrent, seedbox, detection, netflow, analysis, network traffic, P2P, netflow Citácia GRNÁČ, Martin. -
Privacy Enhancing Technologies 2003 an Analysis of Gnunet And
Privacy Enhancing Technologies 2003 An Analysis of GNUnet and the Implications for Anonymous, Censorship-Resistant Networks Dennis Kügler Federal Office for Information Security, Germany [email protected] 1 Anonymous, Censorship-Resistant Networks • Anonymous Peer-to-Peer Networks – Gnutella • Searching is relatively anonymous • Downloading is not anonymous • Censorship-Resistant Networks – Eternity Service • Distributed storage medium • Attack resistant • Anonymous, Censorship-Resistant Networks – Freenet – GNUnet 2 GNUnet: Obfuscated, Distributed Filesystem Content Hash Key: [H(B),H(E (B))] • H(B) – Content encryption: H(B) – Unambiguous filename: H(E (B)) H(B) • Content replication – Caching while delivering – Based on unambiguous filename • Searchability – Keywords 3 GNUnet: Peer-to-Peer MIX Network • Initiating node – Downloads content • Supplying nodes – Store content unencrypted • Intermediary nodes – Forward and cache encrypted content – Plausible deniability due to encryption • Economic model – Based on credit Query A Priority=20 B – Charge for queries c =c -20 B B - – Pay for responses 4 GNUnet Encoding • DBlocks DBlock DBlock ... DBlock – 1KB of the content – Content hash encrypted • IBlocks IBlock ... IBlock – CHKs of 25 DBlocks – Organized as tree – Content hash encrypted IBlock • RBlock – Description of the content – CHK of the root IBlock RBlock – Keyword encrypted 5 The Attacker Model • Attacker – Controls malicious nodes that behave correctly – Prepares dictionary of interesting keywords – Observes queries and -
Devicelock® DLP 8.3 User Manual
DeviceLock® DLP 8.3 User Manual © 1996-2020 DeviceLock, Inc. All Rights Reserved. Information in this document is subject to change without notice. No part of this document may be reproduced or transmitted in any form or by any means for any purpose other than the purchaser’s personal use without the prior written permission of DeviceLock, Inc. Trademarks DeviceLock and the DeviceLock logo are registered trademarks of DeviceLock, Inc. All other product names, service marks, and trademarks mentioned herein are trademarks of their respective owners. DeviceLock DLP - User Manual Software version: 8.3 Updated: March 2020 Contents About This Manual . .8 Conventions . 8 DeviceLock Overview . .9 General Information . 9 Managed Access Control . 13 DeviceLock Service for Mac . 17 DeviceLock Content Security Server . 18 How Search Server Works . 18 ContentLock and NetworkLock . 20 ContentLock and NetworkLock Licensing . 24 Basic Security Rules . 25 Installing DeviceLock . .26 System Requirements . 26 Deploying DeviceLock Service for Windows . 30 Interactive Installation . 30 Unattended Installation . 35 Installation via Microsoft Systems Management Server . 36 Installation via DeviceLock Management Console . 36 Installation via DeviceLock Enterprise Manager . 37 Installation via Group Policy . 38 Installation via DeviceLock Enterprise Server . 44 Deploying DeviceLock Service for Mac . 45 Interactive Installation . 45 Command Line Utility . 47 Unattended Installation . 48 Installing Management Consoles . 49 Installing DeviceLock Enterprise Server . 52 Installation Steps . 52 Installing and Accessing DeviceLock WebConsole . 65 Prepare for Installation . 65 Install the DeviceLock WebConsole . 66 Access the DeviceLock WebConsole . 67 Installing DeviceLock Content Security Server . 68 Prepare to Install . 68 Start Installation . 70 Perform Configuration and Complete Installation . 71 DeviceLock Consoles and Tools . -
University of South Florida
Case Study www.ellacoya.com University of South Florida University of South Florida (USF), one of the top research universities in the US, is INTRODUCTION committed to formulating bold ideas and creating innovative solutions for its global community of 45,000 students, staff, and faculty. To provide its community with reliable, quality network service, USF needed an effective, flexible, and scalable way to prevent aggressive peer-to-peer (P2P) applications from using more than their fair share of bandwidth, to enable sophisticated control of individual abusers, and to support significant growth in traffic volumes. University of South Florida turned to Ellacoya’s IP Service Control System for an effective, flexible and scalable way to control bandwidth congestion in its network. As of late 2002, USF was experiencing significant network congestion due to P2P traffic. THE TRAFFIC CONTROL Its network was hit particularly hard by KaZaA 2.0, which USF’s enterprise-class PROBLEM appliance application could not reliably detect, and by a new P2P application its current firmware failed to detect at all. Network administrators also began to realize the limitations of application-based aggregate traffic management in the face of increasingly evasive emerging applications and the desirability of being able to enforce policies on specific individuals. Additionally, USF was in the process of upgrading its Internet connection to Gigabit speeds and needed a platform with the capacity for Gigabit throughput and the flexibility to scale with the university’s growing needs. Like many universities, USF had initially used an enterprise-class appliance to control EARLY ATTEMPTS TO P2P traffic, but the device was unable to consistently classify KaZaA traffic. -
CS505: Distributed Systems
Cristina Nita-Rotaru CS505: Distributed Systems Lookup services. Chord. CAN. Pastry. Kademlia. Required Reading } I. Stoica, R. Morris, D. Karger, M. F. Kaashoek, H. Balakrishnan, Chord: A Scalable Peer-to-peer Lookup Service for Internet Applications, SIGCOMM 2001. } A Scalable Content-Addressable Network S.a Ratnasamy, P. Francis, M. Handley, R. Karp, S. Shenker, SIGCOMM 2001 } A. Rowstron and P. Druschel. "Pastry: Scalable, decentralized object location and routing for large-scale peer-to-peer systems". IFIP/ACM International Conference on Distributed Systems Platforms (Middleware), 2001 } Kademlia: A Peer-to-peer Information System Based on the XOR Metric. P. Maymounkov and D. Mazieres, IPTPS '02 2 DHTs 1: Lookup services Peer-to-Peer (P2P) Systems } Applications that take advantage of resources (storage, cycles, content, human presence) available at the edges of the Internet. } Characteristics: } System consists of clients connected through Internet and acting as peers } System is designed to work in the presence of variable connectivity } Nodes at the edges of the network have significant autonomy; no centralized control } Nodes are symmetric in function 4 DHTs Benefits of P2P and Applications } High capacity: all clients provide resources (bandwidth, storage space, and computing power). The capacity of the system increases as more nodes become part of the system. } Increased reliability: achieved by replicating data over multiple peers, and by enabling peers to find the data without relying on a centralized index server. } Applications: -
Fundação Getulio Vargas Escola De Administração De Empresas De São Paulo
FUNDAÇÃO GETULIO VARGAS ESCOLA DE ADMINISTRAÇÃO DE EMPRESAS DE SÃO PAULO XUGUI LIU PAGAMENTOS POR MEIO DE APLICATIVO DE MENSAGENS: CASO DA PAGGI NO BRASIL SÃO PAULO 2017 XUGUI LIU Projeto de Dissertação PAGAMENTOS POR MEIO DE APLICATIVO DE MENSAGENS: CASO DA PAGGI NO BRASIL Projeto de dissertação apresentado à Escola de Administração de Empresas de São Paulo, da Fundação Getulio Vargas, para obtenção do título de Mestre em Administração Empresas. Linha de Pesquisa: Tecnologia da Informação Orientador: Prof. Dr. Adrian Kemmer Cernev SÃO PAULO 2017 Liu, Xugui. Pagamentos por meio de aplicativo de mensagens / Xugui Liu. - 2017. 76 f. Orientador: Adrian Kemmer Cernev Dissertação (MPA) - Escola de Administração de Empresas de São Paulo. 1. Aplicativos móveis. 2. Comércio móvel. 3. Pagamento. 4. Sistemas de comunicação móvel. 5. Telefonia celular. I. Cernev, Adrian Kemmer. II. Dissertação (MPA) - Escola de Administração de Empresas de São Paulo. III. Título. CDU 654.165 XUGUI LIU Projeto de Dissertação PAGAMENTOS POR MEIO DE APLICATIVO DE MENSAGENS: CASO DA PAGGI NO BRASIL Projeto de dissertação apresentado à Escola de Administração de Empresas de São Paulo, da Fundação Getulio Vargas, para obtenção do título de Mestre em Administração Empresas. Linha de Pesquisa: Tecnologia da Informação Data de avaliação: 18/12/2017 Banca examinadora: _____________________________ Prof. Dr. Adrian Kemmer Cernev (Orientador) FGV-EAESP _____________________________ Prof. Dr. Eduardo Henrique Diniz FGV-EAESP _____________________________ Prof. Dr. Edson Sadao Iizuca FEI AGRADECIMENTOS Agradeço aos meus pais, Xiaofan e Yinying, pelo apoio incondicional a qualquer momento. Ao meu orientador, Prof. Adrian Kemmer Cernev, pela orientação, disponibilidade, dedicação e compreensão durante todo o processo de elaboração do projeto.