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Episode 176 - Spring Semester Wrap Up

04/30/2015 It's Thursday, April 30th, 2015 and welcome to Episode 176 of TechTalk4Teachers, I'm Tom Grissom and I'm Cindy Rich. Welcome to Episode 176 of the TechTalk4Teachers podcast, the show about teaching and learning with technology. Click on the Player to listen to this podcast Your browser does not support the audio element. Right Click Here to Download MP3 (30 minutes 30 seconds) In this episode... The Spring semester is nearly over and we take a look back at some of the project accomplishments and discuss what worked well and things we might do differently next semester. Show Notes New Zealand Skype Session http://eiuitc.blogspot.com/2015/04/new-zealand-skype-session-and-tip-about.html?view=magazine WolframAlpha Time Zone Check http://www.wolframalpha.com/input/?i=What+time+is+it+in+Auckland%2C+New+Zealand+if+it+is+6pm+CST+on+April+22%2C+2015 Jack and the Beanstalk blog post http://eiuitc.blogspot.com/2015/04/jack-and-beanstalk-bulletin-board.html?view=magazine J

FREE iPhoneReader research tool

 Research and development tools can provide students, newcomers and experienced examiners in the mobile forensics community with practical experience and exposure to logically recovered data isolating the various types of recovered data through a single GUI. Additionally, such tools help develop analytical and assessment skillsets. iPhoneReader.exe is one such tool that can help you do that.

Free Mobile JTAG Training and Tools

Visitors to trewmte.blogspot.com may recall a discussion thread posted back in 2012 regarding a JTAG Tutorial http://trewmte.blogspot.co.uk/2012/09/jtag-tutorial.html. The purpose of that thread was to enable students, newcomers and experienced mobile/smart phone examiners to get a feel for JTAG before undertaking such examinations or purchasing tools etc. Today, Kevin Swartz from

Quoting Statistics

Whether you are a prosecution or defence barrister quoting statistical facts has its benefits when quoted to the jury. Using Stats is not without its pros and cons. However, with the ever increasing size/quantity of network traffic and stored data it appears inevitable describing data in a meaningful way to a jury using statistical statements is being re-defined on a annual basis. For example,

Android Botnet for SMS

Another area where SMS text messages may not have received as much scrutiny is regarding messages sent by mobile botnets. If I may I will re-emphasise the following point, the purpose of the discussions here and below are not as a criticism about tools or processes that are used in extracting, harvesting and/or treating recovered data but that data analysis is still required and cannot be rushed.

Smishing Maybe Smashed, but Fake Tache Goes On

Credit to Google Play Store - Combined screen shots of apps purporting to fake SMS and call logs Continuing on the text messaging discussion about examining raw data. Previously the subject was associated with Emotion Icons  http://trewmte.blogspot.co.uk/2015/03/emotion-icons.html and generally determining the bit-encoding scheme, Unicode, encrypted messaging hidden within Icons sent with