Remote Exploitation of the Valve Source Game Engine
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Empirical Investigation on Measurement of Game Immersion Using Real World Dissociation Factor
Thesis no: MSCS-2016-13 Empirical Investigation on Measurement of Game Immersion using Real World Dissociation Factor Gadila Swarajya Haritha Reddy Faculty of Computing Blekinge Institute of Technology SE–371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. The thesis is equivalent to 20 weeks of full time studies. Contact Information: Author(s): Gadila Swarajya Haritha Reddy E-mail: [email protected] University advisor: Prof. Sara Eriksén Department of Creative Technologies Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE–371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 Abstract Context. Games involve people to a large extent where they relate them- selves with the game characters; this is commonly known as game immer- sion. Generally, some players play games for enjoyment, some for stress relaxation and so on.Game immersion is usually used to describe the degree of involvement with a game. When people play games, they don’t necessar- ily realize that they have been dissociated with the surrounding world. Real world dissociation (RWD) can be defined as the situation where a player is less aware of the surroundings outside the game than about what is happen- ing in the game itself. The RWD factor has been expected to measure the losing track of time, lack of awareness of surroundings and mental trans- portation. Objectives. In this thesis, we measure and compare the difference in game immersion between experienced and inexperienced players using RWD fac- tor. -
Evolution of Programmable Models for Graphics Engines (High
Hello and welcome! Today I want to talk about the evolution of programmable models for graphics engine programming for algorithm developing My name is Natalya Tatarchuk (some folks know me as Natasha) and I am director of global graphics at Unity I recently joined Unity… 4 …right after having helped ship the original Destiny @ Bungie where I was the graphics lead and engineering architect … 5 and lead the graphics team for Destiny 2, shipping this year. Before that, I led the graphics research and demo team @ AMD, helping drive and define graphics API such as DirectX 11 and define GPU hardware features together with the architecture team. Oh, and I developed a bunch of graphics algorithms and demos when I was there too. At Unity, I am helping to define a vision for the future of Graphics and help drive the graphics technology forward. I am lucky because I get to do it with an amazing team of really talented folks working on graphics at Unity! In today’s talk I want to touch on the programming models we use for real-time graphics, and how we could possibly improve things. As all in the room will easily agree, what we currently have as programming models for graphics engineering are rather complex beasts. We have numerous dimensions in that domain: Model graphics programming lives on top of a very fragmented and complex platform and API ecosystem For example, this is snapshot of all the more than 25 platforms that Unity supports today, including PC, consoles, VR, mobile platforms – all with varied hardware, divergent graphics API and feature sets. -
Shading in Valve's Source Engine
Advanced Real-Time Rendering in 3D Graphics and Games Course – SIGGRAPH 2006 Chapter 8 Shading in Valve’s Source Engine Jason Mitchell9, Gary McTaggart10 and Chris Green11 8.1 Introduction Starting with the release of Half-Life 2 in November 2004, Valve has been shipping games based upon its Source game engine. Other Valve titles using this engine include Counter-Strike: Source, Lost Coast, Day of Defeat: Source and the recent Half-Life 2: Episode 1. At the time that Half-Life 2 shipped, the key innovation of the Source engine’s rendering system was a novel world lighting system called Radiosity Normal Mapping. This technique uses a novel basis to economically combine the soft realistic 9 [email protected] 10 [email protected] 11 [email protected] 8 - 1 © 2007 Valve Corporation. All Rights Reserved Chapter 8: Shading in Valve’s Source Engine lighting of radiosity with the reusable high frequency detail provided by normal mapping. In order for our characters to integrate naturally with our radiosity normal mapped scenes, we used an irradiance volume to provide directional ambient illumination in addition to a small number of local lights for our characters. With Valve’s recent shift to episodic content development, we have focused on incremental technology updates to the Source engine. For example, in the fall of 2005, we shipped an additional free Half- Life 2 game level called Lost Coast and the multiplayer game Day of Defeat: Source. Both of these titles featured real-time High Dynamic Range (HDR) rendering and the latter also showcased the addition of real-time color correction to the engine. -
Cloud-Based Visual Discovery in Astronomy: Big Data Exploration Using Game Engines and VR on EOSC
Novel EOSC services for Emerging Atmosphere, Underwater and Space Challenges 2020 October Cloud-Based Visual Discovery in Astronomy: Big Data Exploration using Game Engines and VR on EOSC Game engines are continuously evolving toolkits that assist in communicating with underlying frameworks and APIs for rendering, audio and interfacing. A game engine core functionality is its collection of libraries and user interface used to assist a developer in creating an artifact that can render and play sounds seamlessly, while handling collisions, updating physics, and processing AI and player inputs in a live and continuous looping mechanism. Game engines support scripting functionality through, e.g. C# in Unity [1] and Blueprints in Unreal, making them accessible to wide audiences of non-specialists. Some game companies modify engines for a game until they become bespoke, e.g. the creation of star citizen [3] which was being created using Amazon’s Lumebryard [4] until the game engine was modified enough for them to claim it as the bespoke “Star Engine”. On the opposite side of the spectrum, a game engine such as Frostbite [5] which specialised in dynamic destruction, bipedal first person animation and online multiplayer, was refactored into a versatile engine used for many different types of games [6]. Currently, there are over 100 game engines (see examples in Figure 1a). Game engines can be classified in a variety of ways, e.g. [7] outlines criteria based on requirements for knowledge of programming, reliance on popular web technologies, accessibility in terms of open source software and user customisation and deployment in professional settings. -
Moving from Unity to Godot an In-Depth Handbook to Godot for Unity Users
Moving from Unity to Godot An In-Depth Handbook to Godot for Unity Users Alan Thorn Moving from Unity to Godot: An In-Depth Handbook to Godot for Unity Users Alan Thorn High Wycombe, UK ISBN-13 (pbk): 978-1-4842-5907-8 ISBN-13 (electronic): 978-1-4842-5908-5 https://doi.org/10.1007/978-1-4842-5908-5 Copyright © 2020 by Alan Thorn This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. -
Game Engine Review
Game Engine Review Mr. Stuart Armstrong 12565 Research Parkway, Suite 350 Orlando FL, 32826 USA [email protected] ABSTRACT There has been a significant amount of interest around the use of Commercial Off The Shelf products to support military training and education. This paper compares a number of current game engines available on the market and assesses them against potential military simulation criteria. 1.0 GAMES IN DEFENSE “A game is a system in which players engage in an artificial conflict, defined by rules, which result in a quantifiable outcome.” The use of games for defence simulation can be broadly split into two categories – the use of game technologies to provide an immersive and flexible military training system and a “serious game” that uses game design principles (such as narrative and scoring) to deliver education and training content in a novel way. This talk and subsequent education notes focus on the use of game technologies, in particular game engines to support military training. 2.0 INTRODUCTION TO GAMES ENGINES “A games engine is a software suite designed to facilitate the production of computer games.” Developers use games engines to create games for games consoles, personal computers and growingly mobile devices. Games engines provide a flexible and reusable development toolkit with all the core functionality required to produce a game quickly and efficiently. Multiple games can be produced from the same games engine, for example Counter Strike Source, Half Life 2 and Left 4 Dead 2 are all created using the Source engine. Equally once created, the game source code can with little, if any modification be abstracted for different gaming platforms such as a Playstation, Personal Computer or Wii. -
Game Engines in Game Education
Game Engines in Game Education: Thinking Inside the Tool Box? sebastian deterding, university of york casey o’donnell, michigan state university [1] rise of the machines why care about game engines? unity at gdc 2009 unity at gdc 2015 what engines do your students use? Unity 3D 100% Unreal 73% GameMaker 38% Construct2 19% HaxeFlixel 15% Undergraduate Programs with Students Using a Particular Engine (n=30) what engines do programs provide instruction for? Unity 3D 92% Unreal 54% GameMaker 15% Construct2 19% HaxeFlixel, CryEngine 8% undergraduate Programs with Explicit Instruction for an Engine (n=30) make our stats better! http://bit.ly/ hevga_engine_survey [02] machines of loving grace just what is it that makes today’s game engines so different, so appealing? how sought-after is experience with game engines by game companies hiring your graduates? Always 33% Frequently 33% Regularly 26.67% Rarely 6.67% Not at all 0% universities offering an Undergraduate Program (n=30) how will industry demand evolve in the next 5 years? increase strongly 33% increase somewhat 43% stay as it is 20% decrease somewhat 3% decrease strongly 0% universities offering an Undergraduate Program (n=30) advantages of game engines • “Employability!” They fit industry needs, especially for indies • They free up time spent on low-level programming for learning and doing game and level design, polish • Students build a portfolio of more and more polished games • They let everyone prototype quickly • They allow buildup and transfer of a defined skill, learning how disciplines work together along pipelines • One tool for all classes is easier to teach, run, and service “Our Unification of Thoughts is more powerful a weapon than any fleet or army on earth.” [03] the machine stops issues – and solutions 1. -
Volumetric Real-Time Smoke and Fog Effects in the Unity Game Engine
Volumetric Real-Time Smoke and Fog Effects in the Unity Game Engine A Technical Report presented to the faculty of the School of Engineering and Applied Science University of Virginia by Jeffrey Wang May 6, 2021 On my honor as a University student, I have neither given nor received unauthorized aid on this assignment as defined by the Honor Guidelines for Thesis-Related Assignments. Jeffrey Wang Technical advisor: Luther Tychonievich, Department of Computer Science Volumetric Real-Time Smoke and Fog Effects in the Unity Game Engine Abstract Real-time smoke and fog volumetric effects were created in the Unity game engine by combining volumetric lighting systems and GPU particle systems. A variety of visual effects were created to demonstrate the features of these effects, which include light scattering, absorption, high particle count, and performant collision detection. The project was implemented by modifying the High Definition Render Pipeline and Visual Effect Graph packages for Unity. 1. Introduction Digital media is constantly becoming more immersive, and our simulated depictions of reality are constantly becoming more realistic. This is thanks, in large part, due to advances in computer graphics. Artists are constantly searching for ways to improve the complexity of their effects, depict more realistic phenomena, and impress their audiences, and they do so by improving the quality and speed of rendering – the algorithms that computers use to transform data into images (Jensen et al. 2010). There are two breeds of rendering: real-time and offline. Offline renders are used for movies and other video media. The rendering is done in advance by the computer, saved as images, and replayed later as a video to the audience. -
Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing
Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing Aleksandr Semenov1, Peter Romov2;3, Kirill Neklyudov2;3, Daniil Yashkov2;3, and Daniil Kireev4 1 International Laboratory for Applied Network Research, National Research University Higher School of Economics, Moscow, Russia 2 Yandex Data Factory, Moscow, Russia 3 Moscow Institute of Physics and Technology, Moscow, Russia 4 Moscow State University, Moscow, Russia [email protected], [email protected], [email protected], [email protected], [email protected] Abstract. We present the review of recent applications of Machine Learning in Dota 2. It includes prediction of the winning team from the drafting stage of the game, calculating optimal jungling paths, pre- dict the result of teamfights, recommendataion engine for the draft, and detection of in-game roles with emphasis on win prediction from team composition data. Besides that we discuss our own experience with mak- ing Dota 2 Machine Learning hachathon and Kaggle competitions. Keywords: Dota 2, MOBA, eSports, Machine Learning 1 Introduction to Dota 2 game rules and mechanics DotA 2 is an online multiplayer video game and its first part, DotA (after \De- fense of the Ancients") created a new genre, called Multiplayer Online Battle Arena (MOBA). It is played by two teams, called Radiant and Dire which con- sist of five players each. The main goal of the game is to destroy other team's \Ancient", located at the opposite corners of the map. Each of the players choose one hero to play with from a pool of 113 heroes in the drafting stage of the game (sometimes called 'picks'). -
1935-01-04 1.Pdf
i —. E#l- •:js. w*^ *** 'E^:- J f .« s . ' IJET uS'iJSTXE •_-•> J : -: BEWARE OF fCS ROADS ' Throujhout J9S5:*> ***** J Ji>rive.{ Slowly. Yon.Are KespuisLble TSortiviil*^A Better Kaie j- ' 1 For-Your soruwii F« Your Life AmJTh2torOt%«35 • • i-Jj^'^iii u ::jS*sL.Z. -:'.te= ^oi^64, SK; ;^> :¾^¾^ ^: - laSf--^----".-; Northville, Michigan, Friday, JSiiuiry. 4, 1935" $1.50 PER YEAR IN ADVANCE a.=^ ,-.,.-,. -..-^¾¾¾¾¾^ r+^ 4&S^ T .EEJiirfICYv ROADSit?r\-kiSQ , ^LDirrSift^TffiTT NORTHVlLLMH^TMV/TI f Eir 11^ U= ^HEC^tA3cE?i ~; H »1 ••" ••".-• • ' : 3 --• '•'''' - -"•: : ^ - -n ••:: • • = '" " -- ' : f IS DISCONTINUED i'c Will ; MH -E:^EE,E E^ d:- -. *:-t:.j-a::^^H-.--'.. :---41= I*- i' Warnier Weather Gomes; But Gives Way^To Predictions! E [E Formal' notice;.£as been., .received;. <-. '.'.' ..'."Of More Snow AndELbw Temperatures- .' EE i B f" -JDeposa'crs ^te;JBsd^,,tk3i; oh i>EE. Ur. -..' .-,--.. •-•* liiili iilsi •^/3i-- --:-..--=-- - •:>.-'--..-:"'%'<-. .- ,.. ... 0=?i--jcember;3i, Sertw^oeat federal taSci, Oil : \& allchecis was diSxffitiiued. -. |. i -... o:ChiU^blasts and^icy;stre.et^-that hacLprevailed ^or I jnea^lyEa^yreeki gave way^ednes^ay .and early Thursday { The twoseeht elSS-tax wasrlev-.! fto a:^n«ralJt&atv;i.;E-v•;-^5¾¾-E.-;E-:.EE-: i: -ft " I t :^::^-:¾¾¾¾¾ aadia its crg££al], # ilffi : - jfoA-sail^tb^fii^nfSi^ediintil; r- _ :-,-, .^ •-- "- - E- --- -'- -,| EE^oittyflie-^as-^KlyQmg^^ga|nEl^^^aV;-hdw-eve¥, j eiiit : t f iiulyl, 1955. ^Howevery'S-i .tlfe'-Iast • •'• E '"E^ r-. :.. - •"-. ~ . - - ; fSiEs-EE -::-E. „". -,; -. '•' iwhen a strong.^!ei-%pn^ng Mo^an^fur'ther indications- 'session of'Cosisress" "the closicsrdate if-. -• - --*:- -ts~ ^ '-- -ir> •• '• ' i93?r RoU ,bf $5d,^Jr:39 is Da g w Ra 0 5 ChiS'^ ]^a^T5 Be Fo>^ ; - E-- :•• E i Gaice In L<kal [Gyma&ixxim^s change :o the"Sst 3^¾ i^:i ° *^ : ^J ^^f*™ • Lower Thoa That Of .^'Annual Dabc^Sporisored 1.- The low^ tem^ei«rareJxecorded .during .the week' Termed- «»ic-.vi-^"Most Cruciali '• j^ norfc«-.iras 3ssBed.:tfirSs*h:tlie;-. -
Learning Human Behavior from Observation for Gaming Applications
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 Learning Human Behavior From Observation For Gaming Applications Christopher Moriarty University of Central Florida Part of the Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Moriarty, Christopher, "Learning Human Behavior From Observation For Gaming Applications" (2007). Electronic Theses and Dissertations, 2004-2019. 3269. https://stars.library.ucf.edu/etd/3269 LEARNING HUMAN BEHAVIOR FROM OBSERVATION FOR GAMING APPLICATIONS by CHRIS MORIARTY B.S. University of Central Florida, 2005 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Electrical Engineering and Computer Science in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2007 © 2007 Christopher Moriarty ii ABSTRACT The gaming industry has reached a point where improving graphics has only a small effect on how much a player will enjoy a game. One focus has turned to adding more humanlike characteristics into computer game agents. Machine learning techniques are being used scarcely in games, although they do offer powerful means for creating humanlike behaviors in agents. The first person shooter (FPS), Quake 2, is an open source game that offers a multi-agent environment to create game agents (bots) in. -
Investigating Steganography in Source Engine Based Video Games
A NEW VILLAIN: INVESTIGATING STEGANOGRAPHY IN SOURCE ENGINE BASED VIDEO GAMES Christopher Hale Lei Chen Qingzhong Liu Department of Computer Science Department of Computer Science Department of Computer Science Sam Houston State University Sam Houston State University Sam Houston State University Huntsville, Texas Huntsville, Texas Huntsville, Texas [email protected] [email protected] [email protected] Abstract—In an ever expanding field such as computer and individuals and security professionals. This paper outlines digital forensics, new threats to data privacy and legality are several of these threats and how they can be used to transmit presented daily. As such, new methods for hiding and securing illegal data and conduct potentially illegal activities. It also data need to be created. Using steganography to hide data within demonstrates how investigators can respond to these threats in video game files presents a solution to this problem. In response order to combat this emerging phenomenon in computer to this new method of data obfuscation, investigators need methods to recover specific data as it may be used to perform crime. illegal activities. This paper demonstrates the widespread impact This paper is organized as follows. In Section II we of this activity and shows how this problem is present in the real introduce the Source Engine, one of the most popular game world. Our research also details methods to perform both of these tasks: hiding and recovery data from video game files that engines, Steam, a powerful game integration and management utilize the Source gaming engine. tool, and Hammer, an excellent tool for creating virtual environment in video games.