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Security to Android Mobile Applications: Camera Based
ISSN 2319-8885 Vol.04,Issue.29, August-2015, Pages:5534-5539 www.ijsetr.com Security to Android Mobile Applications: Camera Based Security and Theft Alert Mobile Phones 1 2 3 SANA SULTANA , G.VEERANJANEYULU , SALEHA FARHA 1PG Scholar, Dept of CSE, Shadan Women’s College of Engineering and Technology, Hyderabad, TS, India, E-mail: [email protected]. 2Professor, Dept of CSE, Shadan Women’s College of Engineering and Technology, Hyderabad, TS, India, E-mail: [email protected]. 3HOD, Dept of CSE, Shadan Women’s College of Engineering and Technology, Hyderabad, TS, India, E-mail: [email protected]. Abstract: Now Smartphone’s are simply small computers with added services such as GSM, radio. Thus it is true to say that next generations of operating system will be on these Smartphone and the likes of windows, IOS and android are showing us the glimpse of this future. Android has already gained significant advantages on its counterparts in terms of market share. One of the reason behind this is the most important feature of Android is that it is open-source which makes it free and allows any one person could develop their own applications and publish them freely. This openness of android brings the developers and users a wide range of convenience but simultaneously it increases the security issues. The major threat of Android users is Malware infection via Android Application Market which is targeting some loopholes in the architecture mainly on the end-users part. Attackers can implement spy cameras in malicious apps such that the phone camera is launched automatically without the device owner’s notice, and the captured photos and videos are sent out to these remote attackers. -
Building Vision and Voice Based Robots Using Android
1st Annual International Interdisciplinary Conference, AIIC 2013, 24-26 April, Azores, Portugal - Proceedings- BUILDING VISION AND VOICE BASED ROBOTS USING ANDROID Pradeep N. , Assistant Professor Dr. Mohammed Sharief, Professor Dr. M. Siddappa, Professor Dept. of Computer Science and Engineering, SSIT, Tumkur, Karnataka, India Abstract: This project uses Android, along with cloud based APIs and the Arduino microcontroller, to create a software-hardware system that attempts to address several current problems in robotics, including, among other things, line-following, obstacle-avoidance, voice control, voice synthesis, remote surveillance, motion & obstacle detection, face detection, remote live image streaming and remote photography in panorama & time-lapse mode. The rover, built upon a portable five-layered architecture, will use several mature and a few experimental algorithms in AI, Computer Vision, Robot Kinetics and Dynamics behind-the-scene to provide its prospective user in defense, entertainment or industrial sector a positive user experience. A minimal amount of security is achieved via. a handshake using MD5, SHA1 and AES. It even has a Twitter account for autonomous social networking. Key Words: Voice Synthesis, Voice Control, Robot-User Interaction, Face Detection, Motion and Object Detection, Remote Surveillance, Panoramic and Time-lapse Photography, Line-following and Obstacle-Avoiding Robotics, AI, Computer Vision, Image Processing, Network Security Introduction Android, which is actually a software stack, running atop the Linux kernel, is one of the most successful operating systems available to mobile users today. This success can be attributed to the fact that Android makes development of application softwares ('apps') really easy by allowing developers to code in Java (among many other languages) and thus enabling them to take advantage of the innumerable packages and modules made available by the Java community. -
Clangjit: Enhancing C++ with Just-In-Time Compilation
ClangJIT: Enhancing C++ with Just-in-Time Compilation Hal Finkel David Poliakoff David F. Richards Lead, Compiler Technology and Lawrence Livermore National Lawrence Livermore National Programming Languages Laboratory Laboratory Leadership Computing Facility Livermore, CA, USA Livermore, CA, USA Argonne National Laboratory [email protected] [email protected] Lemont, IL, USA [email protected] ABSTRACT body of C++ code, but critically, defer the generation and optimiza- The C++ programming language is not only a keystone of the tion of template specializations until runtime using a relatively- high-performance-computing ecosystem but has proven to be a natural extension to the core C++ programming language. successful base for portable parallel-programming frameworks. As A significant design requirement for ClangJIT is that the runtime- is well known, C++ programmers use templates to specialize al- compilation process not explicitly access the file system - only gorithms, thus allowing the compiler to generate highly-efficient loading data from the running binary is permitted - which allows code for specific parameters, data structures, and so on. This capa- for deployment within environments where file-system access is bility has been limited to those specializations that can be identi- either unavailable or prohibitively expensive. In addition, this re- fied when the application is compiled, and in many critical cases, quirement maintains the redistributibility of the binaries using the compiling all potentially-relevant specializations is not practical. JIT-compilation features (i.e., they can run on systems where the ClangJIT provides a well-integrated C++ language extension allow- source code is unavailable). For example, on large HPC deploy- ing template-based specialization to occur during program execu- ments, especially on supercomputers with distributed file systems, tion. -
Overview of LLVM Architecture of LLVM
Overview of LLVM Architecture of LLVM Front-end: high-level programming language => LLVM IR Optimizer: optimize/analyze/secure the program in the IR form Back-end: LLVM IR => machine code Optimizer The optimizer’s job: analyze/optimize/secure programs. Optimizations are implemented as passes that traverse some portion of a program to either collect information or transform the program. A pass is an operation on a unit of IR code. Pass is an important concept in LLVM. LLVM IR - A low-level strongly-typed language-independent, SSA-based representation. - Tailored for static analyses and optimization purposes. Part 1 Part 1 has two kinds of passes: - Analysis pass (section 1): only analyze code statically - Transformation pass (section 2 & 3): insert code into the program Analysis pass (Section 1) Void foo (uint32_t int, uint32_t * p) { LLVM IR ... Clang opt } test.c test.bc stderr mypass.so Transformation pass (Section 2 & 3) mypass.so Void foo (uint32_t int, uint32_t * p) { ... LLVM IR opt LLVM IR } test.cpp Int main () { test.bc test-ins.bc ... Clang++ foo () ... LLVM IR } Clang++ main.cpp main.bc LLVM IR lib.cpp Executable lib.bc Section 1 Challenges: - How to traverse instructions in a function http://releases.llvm.org/3.9.1/docs/ProgrammersManual.html#iterating-over-the-instruction-in-a-function - How to print to stderr Section 2 & 3 Challenges: 1. How to traverse basic blocks in a function and instructions in a basic block 2. How to insert function calls to the runtime library a. Add the function signature to the symbol table of the module Section 2 & 3 Challenges: 1. -
Compiling a Higher-Order Smart Contract Language to LLVM
Compiling a Higher-Order Smart Contract Language to LLVM Vaivaswatha Nagaraj Jacob Johannsen Anton Trunov Zilliqa Research Zilliqa Research Zilliqa Research [email protected] [email protected] [email protected] George Pîrlea Amrit Kumar Ilya Sergey Zilliqa Research Zilliqa Research Yale-NUS College [email protected] [email protected] National University of Singapore [email protected] Abstract +----------------------+ Scilla is a higher-order polymorphic typed intermediate | Blockchain Smart | | Contract Module | level language for implementing smart contracts. In this talk, | in C++ (BC) | +----------------------+ we describe a Scilla compiler targeting LLVM, with a focus + state variable | + ^ on mapping Scilla types, values, and its functional language foo.scilla | | | & message | fetch| | constructs to LLVM-IR. | | |update v v | The compiled LLVM-IR, when executed with LLVM’s JIT +--------------------------------------+---------------------------------+ framework, achieves a speedup of about 10x over the refer- | | | +-------------+ +----------------+ | ence interpreter on a typical Scilla contract. This reduced | +-----------------> |JIT Driver | +--> | Scilla Run-time| | | | |in C++ (JITD)| | Library in C++ | | latency is crucial in the setting of blockchains, where smart | | +-+-------+---+ | (SRTL) | | | | | ^ +----------------+ | contracts are executed as parts of transactions, to achieve | | | | | | | foo.scilla| | | peak transactions processed per second. Experiments on the | | | foo.ll| | | | | | | Ackermann -
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-Procedural Analysis of Modern Android Apps in Backdroid
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid Daoyuan Wu1, Debin Gao2, Robert H. Deng2, and Rocky K. C. Chang3 1The Chinese University of Hong Kong 2Singapore Management University 3The Hong Kong Polytechnic University Contact: [email protected] Abstract—Widely-used Android static program analysis tools, be successfully analyzed by its underlying FlowDroid tool. e.g., Amandroid and FlowDroid, perform the whole-app inter- Although HSOMiner [53] increased the size of the analyzed procedural analysis that is comprehensive but fundamentally apps, the average app size is still only 8.4MB. Even for difficult to handle modern (large) apps. The average app size has these small apps, AppContext timed out for 16.1% of the increased three to four times over five years. In this paper, we 1,002 apps tested and HSOMiner similarly failed in 8.4% explore a new paradigm of targeted inter-procedural analysis that can skip irrelevant code and focus only on the flows of security- of 3,000 apps, causing a relatively high failure rate. Hence, sensitive sink APIs. To this end, we propose a technique called this is not only a performance issue, but also the detection on-the-fly bytecode search, which searches the disassembled app burden. Additionally, third-party libraries were often ignored. bytecode text just in time when a caller needs to be located. In this For example, Amandroid by default skipped the analysis of way, it guides targeted (and backward) inter-procedural analysis 139 popular libraries, such as AdMob, Flurry, and Facebook. -
Using ID TECH Universal SDK Library Files in a C++ Project
Using ID TECH Universal SDK Library Files in a C++ Project Introduction From time to time, customers who wish to use ID TECH's Universal SDK for Windows (which is .NET-based and comes with C# code examples) ask if it is possible to do development against the SDK solely in C++ (on Windows). The answer is yes. Universal SDK library files (DLLs) are COM-visible and ready to be accessed from C++ code. (SDK runtimes require the .NET Common Language Runtime, but your C++ binaries can still use the SDK.) Note that while the example shown in this document involves Microsoft's Visual Studio, it is also possible to use SDK libraries in C++ projects created in Eclipse or other IDEs. How to Use the IDTechSDK.dll File in a C++ Project: 1. Create a Visual C++ project in Visual Studio 2015 (shown below, an MFC Application as an example). 2. Change the properties of the Visual C++ project. Under the General tag, set Commom Language Runtime Support under Target Platform to "Common Language Runtime Support (/clr)" under Windows. 3. Under VC++ Directories, add the path to the C# .dll file(s) to Reference Directories. 4. Under C/C++ General, set Commom Language Runtime Support to "Common Language Runtime Support (/clr)." 5. Under C/C++ Preprocessor, add _AFXDLL to Preprocessor Definitions. 6. Under C/C++ Code Generation, change Runtime Library to "Multi-threaded DLL (/MD)." 7. Under Code Analysis General, change Rule Set to "Microsoft Mixed (C++ /CLR) Recommended Rules." 8. Use IDTechSDK.dll in your .cpp file. a. -
Using Ld the GNU Linker
Using ld The GNU linker ld version 2 January 1994 Steve Chamberlain Cygnus Support Cygnus Support [email protected], [email protected] Using LD, the GNU linker Edited by Jeffrey Osier (jeff[email protected]) Copyright c 1991, 92, 93, 94, 95, 96, 97, 1998 Free Software Foundation, Inc. Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another lan- guage, under the above conditions for modified versions. Chapter 1: Overview 1 1 Overview ld combines a number of object and archive files, relocates their data and ties up symbol references. Usually the last step in compiling a program is to run ld. ld accepts Linker Command Language files written in a superset of AT&T’s Link Editor Command Language syntax, to provide explicit and total control over the linking process. This version of ld uses the general purpose BFD libraries to operate on object files. This allows ld to read, combine, and write object files in many different formats—for example, COFF or a.out. Different formats may be linked together to produce any available kind of object file. See Chapter 5 [BFD], page 47, for more information. Aside from its flexibility, the gnu linker is more helpful than other linkers in providing diagnostic information. -
Självständigt Arbete På Grundnivå Independent Degree Project - First Cycle
Självständigt arbete på grundnivå Independent degree project - first cycle Computer Engineering A framework for communicating with Android apps from the browser Karl Lindström A framework for communicating with Android apps from the browser Karl Lindström 2014-05-29 MID SWEDEN UNIVERSITY Avdelningen för Informations- och kommunikationssystem (IKS) Examiner: Ulf Jennehag, [email protected] Supervisor: Magnus Eriksson, [email protected] Author: Karl Lindström, [email protected] Degree programme: International Bachelor's Programme in Computer Engi- neering, 180 credits Main field of study: Computer Engineering Semester, year: 1, 2014 ii A framework for communicating with Android apps from the browser Karl Lindström 2014-05-29 Abstract With the recent growth of the mobile market, companies want to target mobile devices while at the same time keeping product development costs low. One way to do this is to develop web applications, which are accessed from a mobile de- vice’s web browser, instead of native applications. The same web application can then be used on different platforms such as Android and iOS. However, devices such as smart phones and tablets often include cameras and sensors that a web ap- plication may want to access, but which are only accessible from native applica- tions. A framework was developed that enables web applications to communicate with native Android applications. Native applications are launched by clicking a link in the browser, and the result produced is made available to the web applica- tion through a HTTP POST request or a local web server running on the device. Key characteristics of the framework include ease of extension and the ability to enable secure (SSL) communication if desired. -
Performance Analyses and Code Transformations for MATLAB Applications Patryk Kiepas
Performance analyses and code transformations for MATLAB applications Patryk Kiepas To cite this version: Patryk Kiepas. Performance analyses and code transformations for MATLAB applications. Computa- tion and Language [cs.CL]. Université Paris sciences et lettres, 2019. English. NNT : 2019PSLEM063. tel-02516727 HAL Id: tel-02516727 https://pastel.archives-ouvertes.fr/tel-02516727 Submitted on 24 Mar 2020 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. Préparée à MINES ParisTech Analyses de performances et transformations de code pour les applications MATLAB Performance analyses and code transformations for MATLAB applications Soutenue par Composition du jury : Patryk KIEPAS Christine EISENBEIS Le 19 decembre 2019 Directrice de recherche, Inria / Paris 11 Présidente du jury João Manuel Paiva CARDOSO Professeur, University of Porto Rapporteur Ecole doctorale n° 621 Erven ROHOU Ingénierie des Systèmes, Directeur de recherche, Inria Rennes Rapporteur Matériaux, Mécanique, Michel BARRETEAU Ingénieur de recherche, THALES Examinateur Énergétique Francois GIERSCH Ingénieur de recherche, THALES Invité Spécialité Claude TADONKI Informatique temps-réel, Chargé de recherche, MINES ParisTech Directeur de thèse robotique et automatique Corinne ANCOURT Maître de recherche, MINES ParisTech Co-directrice de thèse Jarosław KOŹLAK Professeur, AGH UST Co-directeur de thèse 2 Abstract MATLAB is an interactive computing environment with an easy programming language and a vast library of built-in functions. -
Meson Manual Sample.Pdf
Chapter 2 How compilation works Compiling source code into executables looks fairly simple on the surface but gets more and more complicated the lower down the stack you go. It is a testament to the design and hard work of toolchain developers that most developers don’t need to worry about those issues during day to day coding. There are (at least) two reasons for learning how the system works behind the scenes. The first one is that learning new things is fun and interesting an sich. The second one is that having a grasp of the underlying system and its mechanics makes it easier to debug the issues that inevitably crop up as your projects get larger and more complex. This chapter aims outline how the compilation process works starting from a single source file and ending with running the resulting executable. The information in this chapter is not necessary to be able to use Meson. Beginners may skip it if they so choose, but they are advised to come back and read it once they have more experience with the software build process. The treatise in this book is written from the perspective of a build system. Details of the process that are not relevant for this use have been simplified or omitted. Entire books could (and have been) written about subcomponents of the build process. Readers interested in going deeper are advised to look up more detailed reference works such as chapters 41 and 42 of [10]. 2.1 Basic term definitions compile time All operations that are done before the final executable or library is generated are said to happen during compile time. -
Intel® Vtune™ Amplifier 2019 Update 3 Release Notes
Intel® VTune™ Amplifier 2019 Update 3 Release Notes 8 March 2019 Intel® VTune™ Amplifier 2019 Update 3 Customer Support For technical support, including answers to questions not addressed in this product, visit the technical support forum, FAQs, and other support information at: https://software.intel.com/en-us/vtune/support/get-help http://www.intel.com/software/products/support/ https://software.intel.com/en-us/vtune Please remember to register your product at https://registrationcenter.intel.com/ by providing your email address. Registration entitles you to free technical support, product updates and upgrades for the duration of the support term. It also helps Intel recognize you as a valued customer in the support forum. NOTE: If your distributor provides technical support for this product, please contact them for support rather than Intel. Contents 1 Introduction 2 2 What’s New 3 3 System Requirements 6 4 Where to Find the Release 10 5 Installation Notes 11 6 Known Issues 11 7 Attributions 23 8 Legal Information 23 1 Introduction Intel® VTune™ Amplifier 2019 Update 3 provides an integrated performance analysis and tuning environment with graphical user interface that helps you analyze code performance on systems with IA-32 or Intel® 64 architectures. This document provides system requirements, issues and limitations, and legal information. VTune Amplifier has a standalone graphical user interface (GUI) as well as a command-line interface (CLI). Intel® VTune Amplifier for macOS* supports viewing of results collected on other OSs. Native collection on macOS* is not currently available. To learn more about this product, see: New features listed in the What’s New section below.