Article

Automation is a breeze with AutoIt

Authors:

Jason Brand,

Jeff BalvanzAuthors Info & Claims

SIGUCCS '05: Proceedings of the 33rd annual ACM SIGUCCS conference on User services

Pages 12 - 15

https://doi.org/10.1145/1099435.1099439

Published: 06 November 2005 Publication History

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Abstract

AutoIt is a free scripting language for Microsoft Windows that simulates Windows commands, mouse movements, and mouse-clicks; sends keystrokes to applications; and works with the clipboard to cut and paste text, among other tasks. Unlike many other scripting languages, AutoIt is able to interact with programs the same way that your users do - by actually using the mouse and keyboard shortcuts. The Solution Center has created several automated programs using AutoIt that perform many of the tasks repeated each day. Saving time, reducing error, and adding ease to report options are just some of the ways the Solution Center at Iowa State University has exploited AutoIt's features. AutoIt has allowed us to better serve our students and faculty members by reducing the amount of time it takes to complete a scripted task, removing human error, and eliminating some repetitive tasks for staff. This session is intended for all levels of user support staff.

References

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AutoIt Website - http://www.autoitscript.com/autoit3/

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AutoIt Forums http://www.autoitscript.com/forum/

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AutoIt SciTE - http://www.autoitscript.com/autoit3/scite/

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Blat - http://www.blat.net/

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Crystal Reports - http://www.businessobjects.com/

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Cygwin - http://www.cygwin.com/

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FrontRange HEAT - http://www.frontrange.com/

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OpenSSH for Windows - http://sshwindows.sourceforge.net/

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PuTTY - http://www.chiark.greenend.org.uk/~sgtatham/putty/

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RealVNC - http://www.realvnc.com/

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Ali BUllah IAl Shloul TKhan IKhan IGhadi YAbdusalomov ANasimov ROuahada KHamam H(2023)ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networksThe Journal of Supercomputing10.1007/s11227-023-05764-580:6(7876-7905)Online publication date: 10-Nov-2023
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Khan IKeshk MPi DKhan NHussain YSoliman H(2022)Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control SystemsAd Hoc Networks10.1016/j.adhoc.2022.102930134(102930)Online publication date: Sep-2022
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Published In

SIGUCCS '05: Proceedings of the 33rd annual ACM SIGUCCS conference on User services

November 2005

482 pages

ISBN:1595932003

DOI:10.1145/1099435

General Chairs:
Cynthia Murnan
Oberlin College
,
Kelly Wainwright
Lewis and Clark College
,
Program Chair:
Chris Jones
University of Oregon

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 06 November 2005

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SIGUCCS Fall05

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SIGUCCS Fall05: ACM SIGUCCS Fall Conference:Fishing for New Ideas

November 6 - 9, 2005

CA, Monterey, USA

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Ali BUllah IAl Shloul TKhan IKhan IGhadi YAbdusalomov ANasimov ROuahada KHamam H(2023)ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networksThe Journal of Supercomputing10.1007/s11227-023-05764-580:6(7876-7905)Online publication date: 10-Nov-2023
https://doi.org/10.1007/s11227-023-05764-5
Khan IKeshk MPi DKhan NHussain YSoliman H(2022)Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control SystemsAd Hoc Networks10.1016/j.adhoc.2022.102930134(102930)Online publication date: Sep-2022
https://doi.org/10.1016/j.adhoc.2022.102930
(2021)Web Bot Detection System Based on Divisive Clustering and K-Nearest Neighbor Using Biostatistics Features SetInternational Journal of Digital Crime and Forensics10.4018/IJDCF.30213613:6(0-0)Online publication date: Nov-2021
https://doi.org/10.4018/IJDCF.302136
Montoya Suaréz LRestrepo Sierra JGómez Marín E(2021)Creación de pacientes internacionales automatizado con AutoIt: un caso de aplicaciónLámpsakos10.21501/21454086.2809(74)Online publication date: 16-Mar-2021
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Kim HKim SJo WKim KShon T(2021)Unknown Payload Anomaly Detection Based on Format and Field Semantics Inference in Cyber-Physical Infrastructure SystemsIEEE Access10.1109/ACCESS.2021.30800819(75542-75552)Online publication date: 2021
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Fleischer HDo VThurow K(2019)Online Measurement System in Reaction Monitoring for Determination of Structural and Elemental Composition Using Mass SpectrometrySLAS Technology10.1177/247263031881383824:3(330-341)Online publication date: Jun-2019
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Khan IPi DKhan ZHussain YNawaz A(2019)HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA SystemsIEEE Access10.1109/ACCESS.2019.29258387(89507-89521)Online publication date: 2019
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Quang Do VRamani KThurow KFleischer H(2017)Integration of a micro reactor system to a ICP mass spectrometer2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC.2017.7969876(1-6)Online publication date: May-2017
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Feng CLi TChana D(2017)Multi-level Anomaly Detection in Industrial Control Systems via Package Signatures and LSTM Networks2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN.2017.34(261-272)Online publication date: Jun-2017
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Martinsen JGrahn HIsberg A(2016)Combining thread‐level speculation and just‐in‐time compilation in Google's V8 JavaScript engineConcurrency and Computation: Practice and Experience10.1002/cpe.382629:1Online publication date: 6-May-2016
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