61 posts categorized "Wi-Fi" Feed

Solving Network Issues - Machine Learning - The IT Sorcerer’s Apprentice! (by John Kerber)

The IT Sorcerer’s Apprentice!


Machine learning seemed an odd fit at first. Our company was formed as a simple network discovery tool, as reliable and useful as a carpenter’s hammer. If you don’t know us at Who’s On My WiFi, we started off by offering a platform-agnostic ARP scanning tool to discover connected devices on a network over time.  Our company path changed drastically when we started saving all the information we were scanning.  We made an important discovery: WWW.WhoIsOnMyWiFi.com

Large amounts of network data is useless without some way to make sense of all that information!

For example, the first problem people tried to solve using our software was detecting if an unknown device suddenly joined the network.

We initially required that customers tag devices as KNOWN, and then they could be alerted to any UNKNOWN devices.  But there is a problem with this, especially on larger networks.  Tagging devices is time-consuming and requires constant updating to be useful. Our customers’ IT managers would be tasked with tagging staff and network devices, while reporting on guests that entered their building. It was an up-front workload compounded by the inevitable influx of new devices or [shudders] network equipment overhauls.

The next problem people started solving with our basic network detection was trying to determine the number of people using a public WiFi network over time.  Although this sounds simple, to get accurate usage patterns, again, there is an up front cost of going through and tagging all equipment that could possibly be on a public WiFi network to exclude it.  Otherwise, always on devices like network equipment or printers incorrectly impacted the results.  And what about employees using the public WiFi?  Should they be counted as visitors or not?

To painstakingly go through a large public venue, tag all switches, APs, as well as employee equipment and smartphones was too much maintenance for IT administrators to keep up with.

Enter Machine Learning. 


Continue reading "Solving Network Issues - Machine Learning - The IT Sorcerer’s Apprentice! (by John Kerber)" »

LMTV LIVE | Troubleshooting Tesla Model S Connectivity (with Jonathan Whiteside, Darrin Roach and Paul Offord)

Tesla Motors is very much at the forefront of the ‘Connected Vehicle’ revolution, producing vehicles with ‘always on’ connectivity through 4G LTE and WiFi. This gives the driver features such as Google Maps navigation, web access and Spotify.

If you had a connectivity issue with a Tesla Model S, how could you troubleshoot it?  Are specialist tools needed or could you just use standard kit?

In this week's session, Jonathan Whiteside and Darrin Roach of Advance7 describe an experiment to learn more about connected vehicle technology by tracing the data flows between a desktop PC app called Tesla Control, the Tesla Cloud Services and a Tesla Model S.  There were some challenges and a couple of surprises.

For more background information, see Jonathan's paper "Tesla Model S Remote Control" on the TribeLab site - https://community.tribelab.com/course/view.php?id=37

How Wi-Fi Works - A Visual ! (by Sam Carson)

How Wi-Fi Works!!!

A Full Motion Graphical Study!

Ever wonder how that wireless router in your home works? How can it maintain your internet connection through walls while your neighbors’ routers do the same?

Take look at The Bookmark’s 3D illustrative guide on How Wi-Fi Works.

The 3D animations bring to life the technologies that make wireless networks possible. Watch how signal encoding, radio transmission and data encryption deliver the internet to devices all throughout your home.

The basic 4 parts of WIFI - (WiFi stands for Wireless Fidelity)

Frequency band - Most Wi-Fi uses either 2.4Ghz or 5Ghz frequency bands

Channels - The main 2.4Ghz and 5Ghz signals are divided into sub-frequencies called channels.

Packets - Channels carry packets, or small groups of data.

Waves - Packets are made up of sets of waves.

Verizon Sam CarsonAuthor - Sam Carson - Sam graduated from NC State University with a degree in Meteorology. He loves to take casual hikes to Crowders Mountain and is often told he looks like the actor Woody Harrelson."

This was brought to our attention by - Rob Mitchell a Communication Specialist for The Bookmark on VerizonInternet.com, a Verizon authorized retailer.



A Wi-Fi Router as a Witness Device! (by Daniel Arrugueta)

A Wi-Fi Router as a Witness Device

Note: attached is the full document in .pdf format and is awesome reading for forensic investigators!

Download A WiFi Router as a Witness Device Full Document!

Witnesses often are crucial elements in solving and prosecuting criminal or civil violations.  We now regularly use data that various technologies record. Digital witness devices provide a source of largely unbiased and dependable information to the investigator and prosecutor. However, many often ignore or do not even recognize commonly available electronics as potential witness devices.  One such device is the wireless router found in most homes and businesses.

As with any witness, some sort of vetting and consideration is wise. Reliability, bias, memory, physical abilities, etc., all can be factors that play roles in the use of digital witness devices and the use of their data. Whether you consider data from digital cameras, microphones, cell phones, computers, or Wi-Fi (wireless) routers, you should approach each with an open eye and determine clearly what each actually offers to your investigation. Data typically is reliable; how you interpret and present that data is key to its ultimate usefulness. Criminal radiation

Continue reading "A Wi-Fi Router as a Witness Device! (by Daniel Arrugueta)" »

LMTV LIVE | WiFi Analytics (with John Kerber, CEO of Who's On My WiFi)

YouTube Live Event Start Time : Wednesday, July 26, 2017 - 9:30 AM PST

Screen Shot 2017-07-24 at 10.38.10 AMOn this week's LMTV LIVE, John Kerber, the Technical Co-Founder of Who's On My WiFi will be on the show to discuss WiFi Analytics, privacy in the age of Analytics, and where things are headed with this technology.

Who's On My WiFi is a young, growing company, originally starting primarily in the network security space, but since the last time on the show, has made the transition to a WiFi Analytics company.

What is WiFi Analytics?

WiFi Analytics is a growing field that helps organizations make business decisions about physical locations based on the information already available on a computer network.

As an analogy, Web Analytics companies changed the view of parsing Web Server logs from being an IT Function specifically focused on either security or on website uptime, into more of a marketing or business development function focused on user behavior and increasing engagement that also aids in security or uptime.

Continue reading "LMTV LIVE | WiFi Analytics (with John Kerber, CEO of Who's On My WiFi)" »