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Lithium Hosting, Llc
Lithium Hosting, llc Acceptable Use Policy This Acceptable Use Policy ("AUP") governs your use of the Services and is incorporated by reference into Lithium Hosting, llc's Customer Master Agreement / Terms of Service. Unless otherwise stated, defined terms in this AUP have the meanings provided in the Terms of Service. Lithium Hosting, llc may modify this document at any time without notice. This document sets forth the principles, guidelines and requirements of the Acceptable Use Policy of Lithium Hosting, llc ("Company") governing the use by the Customer ("Customer") of the Company's products and services ("Products and Services"). The Purpose of the Lithium Hosting, llc Acceptable Use Policy, hereinafter referred to as the AUP, is to comply with all federal, state, and local laws coupled with protecting the network security, network availability, physical security, Customer privacy, and other factors affecting the services provided by Lithium Hosting, llc. Lithium Hosting, llc reserves the right to impose reasonable rules and regulations regarding the use of its services provided to all Customers and such rules and regulations are subject to change. Such rules and regulations are located on the Internet at https://lithiumhosting.com/acceptable-use-policy. The AUP is not an all inclusive exhaustive list and Lithium Hosting, llc reserves the right to modify the AUPs at any time as needed, effective upon either the posting of the modified AUPs to https://lithiumhosting.com/acceptable-use-policy or notification to the Customer via their client portal. Acceptance and execution of the Customer Master Agreement / Terms of Service binds all parties to Lithium Hosting, llc stated AUP at the time the contract is executed and as modified from time to time. -
Universidad Pol Facultad D Trabajo
UNIVERSIDAD POLITÉCNICA DE MADRID FACULTAD DE INFORMÁTICA TRABAJO FINAL DE CARRERA ESTUDIO DEL PROTOCOLO XMPP DE MESAJERÍA ISTATÁEA, DE SUS ATECEDETES, Y DE SUS APLICACIOES CIVILES Y MILITARES Autor: José Carlos Díaz García Tutor: Rafael Martínez Olalla Madrid, Septiembre de 2008 2 A mis padres, Francisco y Pilar, que me empujaron siempre a terminar esta licenciatura y que tanto me han enseñado sobre la vida A mis abuelos (q.e.p.d.) A mi hijo icolás, que me ha dejado terminar este trabajo a pesar de robarle su tiempo de juego conmigo Y muy en especial, a Susana, mi fiel y leal compañera, y la luz que ilumina mi camino Agradecimientos En primer lugar, me gustaría agradecer a toda mi familia la comprensión y confianza que me han dado, una vez más, para poder concluir definitivamente esta etapa de mi vida. Sin su apoyo, no lo hubiera hecho. En segundo lugar, quiero agradecer a mis amigos Rafa y Carmen, su interés e insistencia para que llegara este momento. Por sus consejos y por su amistad, les debo mi gratitud. Por otra parte, quiero agradecer a mis compañeros asesores militares de Nextel Engineering sus explicaciones y sabios consejos, que sin duda han sido muy oportunos para escribir el capítulo cuarto de este trabajo. Del mismo modo, agradecer a Pepe Hevia, arquitecto de software de Alhambra Eidos, los buenos ratos compartidos alrrededor de nuestros viejos proyectos sobre XMPP y que encendieron prodigiosamente la mecha de este proyecto. A Jaime y a Bernardo, del Ministerio de Defensa, por haberme hecho descubrir las bondades de XMPP. -
Machine Learning and Cybersecurity: Studying Network Behaviour to Detect Anomalies
Machine Learning and Cybersecurity: Studying network behaviour to detect anomalies Jiawen Chen July 25, 2018 MSc in High Performance Computing with Data Science The University of Edinburgh Year of Presentation: 2018 Abstract Cybersecurity is an indispensable part of the Internet nowadays as almost everything can be connected by Internet. Individual privacy and property will face great danger if they are attacked by malware. This project aims to use the machine learning knowledge to build a classifier that can detect malware behaviour and avoid further damage to the network and its entity. The dataset used in this project is the CTU-13 dataset[1], which is NetFlow traffic from the normal, malware infected and background hosts. The classifier is built with the labelled normal and infected NetFlow, then applied to the unlabelled background NetFlow. This project follows the O’Neil & Schutt data science process[7] to process the data. The data is cleaned and processed, then aggregate based on time window to create a new dataset with the extracted features. This new dataset is the inputs of the following machine learning classification model: logistic regression, decision tree and random forest. Random forest model with an optimal threshold turns out to be the best model with an accuracy of 0.946 on the test dataset. Further application with this model is also implemented to the background traffic to detect potential malware. Keywords: Cybersecurity, NetFlow, Data science, Machine learning, Model building Contents Chapter 1 Introduction ....................................................................................................... -
A Tool for Internet Chatroom Surveillance
A Tool for Internet Chatroom Surveillance Ahmet C¸amtepe, Mukkai S. Krishnamoorthy, and B¨ulent Yener ? Department of Computer Science, RPI, Troy, NY 12180, USA. {camtes, moorthy, yener}@cs.rpi.edu Abstract. Internet chatrooms are common means of interaction and communications, and they carry valuable information about formal or ad-hoc formation of groups with diverse objectives. This work presents a fully automated surveillance system for data collection and analysis in Internet chatrooms. The system has two components: First, it has an eavesdropping tool which collects statistics on individual (chatter) and chatroom behavior. This data can be used to profile a chatroom and its chatters. Second, it has a computational discovery algorithm based on Singular Value Decomposition (SVD) to locate hidden communities and communication patterns within a chatroom. The eavesdropping tool is used for fine tuning the SVD-based discovery algorithm which can be deployed in real-time and requires no semantic information processing. The evaluation of the system on real data shows that (i) statistical prop- erties of different chatrooms vary significantly, thus profiling is possible, (ii) SVD-based algorithm has up to 70-80% accuracy to discover groups of chatters. 1 Introduction and Background Internet chatrooms provide for an interactive and public forum of communica- tion for participants with diverse objectives. Two properties of chatrooms make them particularly vulnerable for exploitation by malicious parties. First, the real identity of participants are decoupled from their chatroom nicknames. Second, multiple threads of communication can co-exists concurrently. Although human- monitoring of each chatroom to determine who-is-chatting-with-whom is possible, it is very time consuming hence not scalable. -
Serenia Online
1 / 4 Serenia Online Sierra Online Games. For toddler and ... See more ideas about sierra online, sierra, adventure games. In 2014, the brand ... Adventures in Serenia. This page is .... Shop Serenia Sleep at Wayfair for a vast selection and the best prices online. Enjoy Free and Fast Shipping on most stuff, even big stuff!. Serenia Ariya- Find a Home That's Made for You Explore Serenia City's residential ... Human Resources Online would like to congratulate the winners and .... Shop exclusive deals for high-speed Internet service in Tacoma. ... concentrates and CBD shop online now weed, edibles, vapes, CBD, concentrates & more This is a company that truly cares about ... Arkansas parole questions.. Amazon.in: Buy Serenia Sleep 2-Inch 7-Zone Memory Foam Topper, Queen online at low price in India on Amazon.in. Free Shipping. Cash On Delivery.. Jetzt kostenlos Serenia Fantasy spielen - Beim Browsergame Serenia Fantasy vom ... Beim MMORPG Serenia Fantasy können Sie sich spannende Abenteuer ähnlich ... 8/20/ · Serenia Fantasy é um game no estilo RPG que funciona online, .... Buy Serenia Sleep 12" Quilted Sculpted Gel Memory Foam Mattress, Queen online on Amazon.ae at best prices. ✓ Fast and free shipping ✓ free returns .... Serenia was an Age written by Catherine. 1 History 2 Geography 3 Gallery 4 Notes & Trivia 5 References Many lifetimes ago, a child from the village contracted .... Food Supplement Serenia is a food supplement based on plant extracts that help you relax in nervous situations and promote reconciliation and quality of sleep. Final Fantasy XIV Online: A Realm Reborn . I hear people can ... ffxiv (1) [Serenia Lynn - Balmung] FFXIV: Leviathan Extreme Solo! (WHM!). -
La Co-Construction D'un Dispositif Sociotechnique
UNIVERSITÉ DU QUÉBEC À MONTRÉAL LA CO-CONSTRUCTION D'UN DISPOSITIF SOCIOTECHNIQUE DE COMMUNICATION: LE CAS DE L'INTERNET RELAY CHAT THÈSE PRÉSENTÉE COMME EXIGENCE PARTIELLE DU DOCTORAT EN COMMUNICATION PAR GUILLAUME LATZKO-TOTH MAI 2010 UNIVERSITÉ DU QUÉBEC À MONTRÉAL Service des bibliothèques Avertissement La diffusion de cette thèse se fait dans le respect des droits de son auteur, qui a signé le formulaire Autorisation de reproduire et de diffuser un travail de recherche de cycles supérieurs (SDU-522 - Rév.01-2006). Cette autorisation stipule que «conformément à l'article 11 du Règlement no 8 des études de cycles supérieurs, [l'auteur] concède à l'Université du Québec à Montréal une licence non exclusive d'utilisation et de publication de la totalité ou d'une partie importante de [son] travail de recherche pour des fins pédagogiques et non commerciales. Plus précisément, [l'auteur] autorise l'Université du Québec à Montréal à reproduire, diffuser, prêter, distribuer ou vendre des copies de [son] travail de recherche à des fins non commerciales sur quelque support que ce soit, y compris l'Internet. Cette licence et cette autorisation n'entraînent pas une renonciation de [la] part [de l'auteur] à [ses] droits moraux ni à [ses] droits de propriété intellectuelle. Sauf entente contraire, [l'auteur] conserve la liberté de diffuser et de commercialiser ou non ce travail dont [il] possède un exemplaire.» À ma grand-mère Elen In memoriam AVANT-PROPOS Il n'est jamais aisé de choisir un sujet de thèse, car cela signifie renoncer, et ce pour plusieurs années, à d'autres questionnements qui nous semblent tout aussi dignes d'attention. -
Automated Analysis of Underground Marketplaces Aleksandar Hudic, Katharina Krombholz, Thomas Otterbein, Christian Platzer, Edgar Weippl
Automated Analysis of Underground Marketplaces Aleksandar Hudic, Katharina Krombholz, Thomas Otterbein, Christian Platzer, Edgar Weippl To cite this version: Aleksandar Hudic, Katharina Krombholz, Thomas Otterbein, Christian Platzer, Edgar Weippl. Auto- mated Analysis of Underground Marketplaces. 10th IFIP International Conference on Digital Forensics (DF), Jan 2014, Vienna, Austria. pp.31-42, 10.1007/978-3-662-44952-3_3. hal-01393757 HAL Id: hal-01393757 https://hal.inria.fr/hal-01393757 Submitted on 8 Nov 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Chapter 3 AUTOMATED ANALYSIS OF UNDERGROUND MARKETPLACES Aleksandar Hudic, Katharina Krombholz, Thomas Otterbein, Christian Platzer and Edgar Weippl Abstract Cyber criminals congregate and operate in crowded online underground marketplaces. Because forensic investigators lack efficient and reliable tools, they are forced to analyze the marketplace channels manually to locate criminals – a complex, time-consuming and expensive task. This paper demonstrates how machine learning algorithms can be used to automatically determine if a communication channel is used as an underground marketplace. Experimental results demonstrate that the classification system, which uses features related to the cyber crime do- main, correctly classifies 51.3 million messages. -
Exinda Applications List
Application List Exinda ExOS Version 6.4 © 2014 Exinda Networks, Inc. 2 Copyright © 2014 Exinda Networks, Inc. All rights reserved. No parts of this work may be reproduced in any form or by any means - graphic, electronic, or mechanical, including photocopying, recording, taping, or information storage and retrieval systems - without the written permission of the publisher. Products that are referred to in this document may be either trademarks and/or registered trademarks of the respective owners. The publisher and the author make no claim to these trademarks. While every precaution has been taken in the preparation of this document, the publisher and the author assume no responsibility for errors or omissions, or for damages resulting from the use of information contained in this document or from the use of programs and source code that may accompany it. In no event shall the publisher and the author be liable for any loss of profit or any other commercial damage caused or alleged to have been caused directly or indirectly by this document. Document Built on Tuesday, October 14, 2014 at 5:10 PM Documentation conventions n bold - Interface element such as buttons or menus. For example: Select the Enable checkbox. n italics - Reference to other documents. For example: Refer to the Exinda Application List. n > - Separates navigation elements. For example: Select File > Save. n monospace text - Command line text. n <variable> - Command line arguments. n [x] - An optional CLI keyword or argument. n {x} - A required CLI element. n | - Separates choices within an optional or required element. © 2014 Exinda Networks, Inc. -
System Administration Practice Homework
Screen & Tmux & irssi ssuyi Computer Center,NCTU CS, CLI ❑ Command Line Interface S.As like CLI world Only keyboard Fancy Parent cannot use your computer, or… Look like hacker 2 Computer Center,NCTU CS, Booooom 3 Computer Center,NCTU CS, Terminal Multiplexer (tmux) 4 Computer Center,NCTU CS, GNU/Screen 5 Computer Center,NCTU CS, Why you need tmux/screen? ❑ Don’t need several terminals any more create several “windows” or “panes” under one ssh session Detach/attach different sessions you can attach back to your working session even you got disconnected It won’t lose working progress if network sucks Share working session with different device Keep online (bbs, ptt) 6 Computer Center,NCTU CS, Basic ❑ Create and attach and you can use it. tmux screen create session and attach $ tmux $ screen attach $ tmux attach / tmux a $ screen -r create session foo and attach $ tmux new -s foo $ screen -S foo attach to session foo $ tmux attach -t foo $ screen -r foo 7 Computer Center,NCTU CS, Basic (cont.) ❑ Prefix + cmd tmux (C-b) screen (C–a) help ? ? detach d d / C-d create windows c c / C-c close current window & C-k switch to next window n n / space switch to previous window p p / backspace 8 Computer Center,NCTU CS, panes(tmux only) • split into left and right panes C-b " • split into top and bottom panes C-b % • close current pane C-b x • resize current pane 1 cell C-b Ctrl+[← → ↓ ↑ ] • resize current pane 3 cell C-b Alt+[← → ↓ ↑ ] • display pane indexes C-b q • switch between panes C-b [← → ↓ ↑ ] • show the time C-b t • change arrangement -
Formation Debian GNU/Linux
Formation Debian GNU/Linux Alexis de Lattre, Rémy Garrigue, Tanguy Ortolo, Adrien Grand, Loïc Alsfasser, Patrick Burri, et Brian Fraval 27 janvier 2013 Table des matières I Installation de Debian GNU/Linux4 1 UNIX, Linux, GNU, logiciels libres. c’est quoi ?6 2 La distribution Debian 11 3 Motivation et matériel requis 16 4 Les préliminaires 18 5 Création du support d’installation 21 6 Préparation du disque dur 24 7 Débuter l’installation 26 8 Configuration du réseau 30 9 Le réglage des comptes et mots de passe 32 10 Le système de fichiers 35 11 Partitionner 40 12 Les paquets 46 13 Premier démarrage ! 49 II Utilisation et configuration de base de Debian GNU/Linux 52 14 Débuter en console 54 15 Récupérer les fichiers de configuration 62 16 Vim : un éditeur de texte 65 17 Faire marcher la connexion à Internet 69 18 Le système de gestion des paquets Debian 75 19 Configurer le shell 81 1 20 Utiliser des médias de stockage 85 21 Le réseau et la sécurité 90 22 Le Web et le FTP en console 93 23 Configurer son serveur de mail local 96 III Debian GNU/Linux en mode graphique 97 24 Installer le serveur graphique 100 25 Le bureau GNOME 107 26 Les bases de Linux en mode graphique 109 27 Le Web, le courrier et les news en mode graphique 114 28 La musique sous X 118 29 VLC media player, un lecteur multimédia 121 30 La bureautique avec OpenOffice.org 123 31 La manipulation d’images 125 32 La messagerie instantanée avec Pidgin 128 33 La téléphonie sur IP avec Ekiga 131 34 Graver des disques 134 35 Jouons un peu 136 36 Avant d’aller plus loin : un point sur la méthode -
(Computer-Mediated) Communication
Submitted by Dipl-Ing. Robert Ecker Submitted at Analysis of Computer- Department of Telecooperation Mediated Discourses Supervisor and First Examiner Univ.-Prof. Mag. Dr. Focusing on Automated Gabriele Anderst-Kotsis Second Examiner Detection and Guessing o. Univ.-Prof. Dipl.-Ing. Dr. Michael Schrefl of Structural Sender- August 2017 Receiver Relations Doctoral Thesis to obtain the academic degree of Doktor der technischen Wissenschaften in the Doctoral Program Technische Wissenschaften JOHANNES KEPLER UNIVERSITY LINZ Altenbergerstraße 69 4040 Linz, Osterreich¨ www.jku.at DVR 0093696 Kurzfassung Formen der computervermittelten Kommunikation (CvK) sind allgegenwärtig und beein- flussen unser Leben täglich. Facebook, Myspace, Skype, Twitter, WhatsApp und YouTube produzieren große Mengen an Daten - ideal für Analysen. Automatisierte Tools für die Diskursanalyse verarbeiten diese enormen Mengen an computervermittelten Diskursen schnell. Diese Dissertation beschreibt die Entwicklung und Struktur einer Software- Architektur für ein automatisiertes Tool, das computervermittelte Diskurse analysiert, um die Frage “Wer kommuniziert mit wem?” zu jedem Zeitpunkt zu beantworten. Die Zuweisung von Empfängern zu jeder einzelnen Nachricht ist ein wichtiger Schritt. Direkte Adressierung hilft, wird aber nicht in jeder Nachricht verwendet. Populäre Kommunikationsmodelle und die am weitesten verbreiteten CvK-Systeme werden untersucht. Das zugrunde liegende Kommunikationsmodell verdeutlicht die wesentlichen Elemente von CvK und zeigt, wie diese Kommunikation -
IRC Jenisch, Morocutti
WAP / IRC Jenisch, Morocutti IRC - Internet Relay Chat Protocol, Communication, Applications Jenisch Alexander Morocutti Nikolaus [email protected] [email protected] Previous Page Quit Full Screen Next Page WAP / IRC Jenisch, Morocutti Introduction • Facts. • How it works. • IRC specifiaction. • Communication. • Messages Details. • Applications. Previous Page Quit Full Screen Next Page WAP / IRC Jenisch, Morocutti Facts • IRC provides a way of communicating in real time with people from all over the world. • Consists of various separate networks of IRC servers. • The largest nets are EFnet (the original IRC net), Undernet, IRCnet, DALnet, and Quakenet. • Jarkko Oikarinen, Department of Information Processing Science in University of Oulu (finnland) 1988. • Based on TCP/IP. Previous Page Quit Full Screen Next Page WAP / IRC Jenisch, Morocutti How it works Generally, the user runs a program to connect to a server on one of the IRC nets, and the server relays information to and from other servers on the same net. Once connected to an IRC server on an IRC network, you can join one or more channels and converse with others. Conversations may be public (where everyone in a channel can see what you type) or private (messages between only two people). • Channels: A channel is a named group of one or more clients which will all receive messages addressed to that channel. Channel names usually begin with a ’#’, and are registered in the channel list of the irc net. • Nicknames: Each user is known on IRC by a unique nick. • Channel ops: Channels are controlled by channel operators, or just ’ops’ for short, who can control the channel by choosing who may join (by ’banning’ some users), who must leave (by ’kicking’ them out), and even who may speak (by making the channel ’moderated’)! • IRC ops: IRC ops manage the servers themselves.