How a virtual LAN can better protect your home network – and the best way to get started


Cat5 ethernet cable

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ZDNET key takeaways

  • Virtual LANs enable you to isolate devices on your network.
  • This step is crucial because some devices are less secure.
  • Not all ISPs allow for the creation of VLANs.

Picture this scenario: You have one local area network (LAN) at home. On that network, you have your desktops, laptops, tablets, phones, and IoT devices, such as thermostats, smart TVs, speakers, and more.

Your IoT devices can see other devices and vice versa. Even though the IoT devices have considerably less security than your desktops and laptops, they are allowed to connect to the same network.

Also: The best VPN routers: Expert tested and reviewed

Then, one fateful day, an IoT device is hacked. Malware is injected into the device, which then spreads to your desktops and laptops. Next thing you know, a hacker has your bank account information and is stealing your money.

All of this happened because an insecure thermostat had access to your desktop PC.

But what if you could avoid that scenario? You can, thanks to VLANs.

What is a VLAN?

VLAN stands for virtual local area network. Without getting too deep into the muck and mire of network terminology, a virtual LAN is like a secondary network within your LAN that’s isolated from the rest of your network. Your primary LAN might have an address scheme like 192.168.1.x, and your VLAN might have an address scheme like 192.168.2.x.

The significant thing about this setup is that, because of the address scheme, the VLAN cannot directly access the LAN. That separation is important because it isolates the devices.

Let’s use our example above and name our networks LAN1 and LAN2 (LAN1 being the primary LAN and LAN2 being the VLAN).

Also: What is MoCA 2.5? How this low-cost networking can replace Wi-Fi and fix dead zones

On LAN1, you connect your desktops, laptops, tablets, and phones. On LAN2, you connect all of your IoT devices. If an IoT device is hacked, since it’s isolated on LAN2, the only devices it can access are those on the same LAN, which means your desktops, laptops, tablets, and phones are safe (more on this separation later).

You could take this approach one step further and create two VLANs — one for phones and tablets and one for IoT devices, so your network structure would be:

  • LAN: Desktops and laptops (you could also add printers to this setup)
  • VLAN1: Phones and tablets
  • VLAN2: IoT devices

You could even configure the LAN to access everything on its network, as well as everything on VLAN1 and VLAN2, but VLAN1 and VLAN2 cannot access devices on the LAN. If you have the right networking hardware, you could even set up VLAN2 so that no devices can communicate with one another and have access only to the outside world (or the wide area network, WAN). This step could be important because it would prevent one IoT device from causing problems with another.

Another option would be to create a third VLAN for your children’s devices. You could also create VLAN3, which includes added parental controls that would limit the websites your children can reach, but wouldn’t affect devices on the primary LAN.

Also: Slow home internet? Here are 3 things I always check first to regain fast Wi-Fi speeds

In fact, you could take this approach even further by creating a fourth VLAN for guests and a fifth for working from home (that network might be routed through a VPN).

As you can see, the number of VLANs you create increases the complexity. The important thing is knowing the devices on your network and how to isolate them.

How to create VLANs

This is where things get quite complicated, as every networking router/modem/switch is different. How you create a VLAN depends on your specific hardware. 

Also: Sick of online ads and trackers? How I block them across my entire home network

For instance, my network provider (Spectrum) doesn’t allow VLANs to be created via its hardware. In fact, most ISPs don’t support VLANs on their own hardware. 

That leaves me with two options: 

  1.  Deploy a Linux distribution, such as OPNsense or IPFire, that can act as a router. 
  2.  Purchase a third-party router. 

Since the first option can get a bit complicated for most people, I recommend purchasing a third-party router. Here are a few models that support VLANs:

If you don’t purchase one of the above routers, make sure the router you do choose supports VLANs. Using a third-party router lets you set up several VLANs, but you’ll want to read the router’s documentation to learn how, since each router’s setup will differ. 

If you’re lucky and your ISP’s router/modem supports VLANs (again, most don’t), chances are they’ll be pre-configured in the router/modem’s web UI as guest networks, mobile devices, streaming devices, etc.

A bonus reason to go with a third-party router (especially a wireless one) is that you can buy one with a larger range than you already have.

Naming your VLANs

Although I mentioned creating VLAN1, VLAN2, VLAN3, etc., you could instead create VLANs with a naming scheme, such as IoT, Mobile, Kids, and Guests — but I recommend against it. The problem with that naming convention is it makes everything a bit too obvious. If a bad actor happens to be wardriving around your neighborhood and spots a wireless VLAN named IoT (if it’s visible to the WAN), they could connect with an insecure device and (if they have the skills) do bad things. Because of that risk, I recommend using VLAN names that obfuscate their purposes. 

Are VLANs foolproof?

No. As I’ve said many times, if a device is connected to a network, it’s vulnerable. Still, setting up VLANs is more secure than slapping everything on a single network.

However, there’s a thing called VLAN hopping, which allows a hacker to exploit misconfigured switch ports or VLAN-tagging mechanisms to hop from a VLAN to a primary LAN (or from VLAN to VLAN). By taking that approach, attackers could gain unauthorized access to any device on your network. 

Also: The best secure browsers for privacy: Expert tested

Therefore, it’s important to ensure your VLANs are configured correctly (according to the hardware in use), that your router firmware is up to date, and that the devices on every network have both updated operating systems and software.

Although VLANs aren’t a perfect solution to security challenges, they’re a great way to isolate hardware to prevent less secure devices, such as IoT tools, from accessing machines that contain sensitive information.





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Recent Reviews


My phone is full of life-tracking apps, but it became increasingly apparent that they don’t talk to each other. So, I decided to try logging my sleep, spending, routines, food, and work in Excel for a week to see whether consolidating everything would make the data easier to understand. By Sunday, patterns had started to emerge that I wasn’t previously aware of.

If you want to try the same experiment, download a blank copy of this workbook template for free. After you click the link, you’ll find the download button in the top-right corner of your screen.

What my daily tracking actually looked like

Several apps, one disconnected routine

A frustrated woman holds her head and screams while surrounded by smartphones and multiple notification bell icons. Credit: Lucas Gouveia/How-To Geek | Prostock-studio/Shutterstock

On paper, my routine wasn’t complicated. But in practice, it meant jumping between apps throughout the day. Sleep, workouts, food, spending, and work all lived in different places, and while each one worked fine in isolation, none of them shared context. A bad night of sleep never showed up next to too much screen time, and I never explicitly linked a stretch of low-energy habits to a slow day at my desk.

That separation is what prompted me to try using Excel. I set up a single workbook with five named tabs: Sleep, Habits, Food & Drink, Work, and Spending, plus another Dashboard worksheet that brought all metrics together. Nothing complex—just a shared structure where everything could exist in the same format instead of being scattered across apps.

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The structure that made the experiment work

Building a system simple enough to survive a week

Each tab stayed intentionally lightweight so that I would actually keep using it.

Sleep went into a named table (T_Sleep), where I logged bedtime and wake time in hh:mm format. Hours slept were calculated automatically using:

=MOD([@[Wake Time]]-[@Bedtime], 1)*24


Illustration of puzzle pieces connected, showing a problem linked to the =MOD function in Excel, with a connection leading to the solution and Excel icons around.


How to Use Excel’s MOD Function to Solve Real-World Problems

MOD is more versatile than you might think.

Instead of overengineering the setup, I recorded screen time manually on a scale from 1 (low) to 3 (high) based on how much time I had spent on my phone before bed. Conditional formatting handled the feedback, with lower sleep values turning red and better nights shifting green.

Habit tracking lived in T_Habits, with one row per habit per day and a simple checkbox for completion. From there, I built T_HabitComp, which counted completed habits per day using:

=COUNTIFS(T_Habits[Day], [@Day], T_Habits[Completed], TRUE)

That fed directly into the dashboard, alongside a split between general habits and movement-focused ones like workouts and walks.

Food and drink sat in T_FoodDrink, structured as three entries per day for meals. Coffee was logged at the top of each day’s entry, and takeouts were flagged with checkboxes. It gave a rough sense of how each day played out, even if I wasn’t labeling it that way while logging it.

Work went into T_Work, where I logged hours worked and a productivity score (out of 10) based entirely on instinct. Some days felt focused, others felt scattered, and I reflected that directly in the score. Conditional formatting helped those differences stand out visually without needing extra analysis.

Spending lived in T_Spending, and I treated it differently from the rest. It was more of a separate contextual layer than part of the same routine loop. Data validation drop-down categories like groceries, takeout, coffee, impulse purchases, subscriptions, and transport helped me see where money was going, and I used a separate PivotTable to break down spending by category.

If you add new rows, remember to right-click the PivotTable and click Refresh to reflect those changes.

One small detail kept the whole system manageable: Excel tables automatically expand as new rows are added. That meant I never had to fix ranges or adjust formulas mid-week—structured references meant that everything scaled as I went.

The dashboard turned separate logs into one picture

Everything finally came together

A life-tracking dashboard in Excel, with summary cards at the top and trend charts beneath.

Once I started logging data, the dashboard quickly became the only part of the workbook I cared about.

At the top, I created summary cards: Average Sleep, Total Spending, Habit Completion, Average Productivity, Exercise Sessions, and Takeout Orders. Each one pulled directly from the underlying tables and updated automatically as I logged entries.

Below that, Excel charts showed how the week unfolded. Sleep appeared as a line over time; habits, coffee consumption, and screen time moved in columns; and work productivity sat alongside as its own timeline. Finally, I used a PivotChart to visualize spending over the week. Then, I removed the Y-axis from all the charts, as the point here was to emphasize relative movement and patterns, not exact values.


3D illustration of the Microsoft Excel logo in front of an empty spreadsheet.


I use these 3 Excel formulas to organize my daily life

I refuse to let anyone tell me that Microsoft Excel is only for accountants.

That’s where the system started to make sense. Sleep, habits, and productivity formed the clearest loop. When I stayed up late scrolling, I could see it the next morning in lower sleep totals, and those days tended to feel less structured overall. When I kept habits consistent—especially workouts and walks—the rest of the day followed a more stable rhythm.

Spending didn’t follow the same pattern as the rest, and I stopped trying to force it into one. Instead, I noticed something else: on less structured days, takeout and impulse purchases showed up more often. Coffee tended to cluster on busier, slightly chaotic workdays, but it didn’t drive anything on its own—it just appeared alongside those stretches.

Individually, none of this was surprising, but seeing it layered together is what made it noticeable.


What I’ll take away from a week in Excel

For that week, everything lived in one workbook instead of separate apps. When I wanted the full picture, glancing at the dashboard made the connections in my routine much easier to notice. It felt like a useful reset—something I’ll probably return to when things feel too scattered.

That said, it didn’t replace the convenience of dedicated apps. Sleep trackers are still better at collecting data automatically, and spending apps still do a better job of capturing transactions without effort. But the experiment did change how I think about tracking in general—not as separate tools, but as one system where everything sits in the same frame.



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