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EP 11 | Hardware Hacking: Power and Hamming Weight Relationship - ChipWhisperer Nano
Welcome back to our series on practical hardware security with the ChipWhisperer Nano. In our last session, we wrapped up our exploration of core attack strategies by walking through a full Differential Power Analysis (DPA) on an AES firmware target.
Now, in Episode 11, we are moving into the next module of the NewAE SCA101 curriculum: Lab 4_1 - Power and Hamming Weight Relationship (MAIN).
Up to this point, we have intuitively relied on the idea that changing bits or handling data alters the power consumption of our target device. In this lab, we dive much deeper into the underlying physics and statistics of that leakage. Instead of immediately jumping into an attack, we will explicitly measure, plot, and verify the mathematical correlation between the Hamming weight of processed data and the exact physical voltage drops captured by our hardware.
During this live walkthrough, we will:
Load and Configure the Lab 4.1 Notebook: Step through the workspace environment and initialize our ChipWhisperer Nano hardware API.
Explore Leakage Theory: Discuss how CMOS transistors leak power when charging and discharging internal capacitances, and why this relates directly to the count of "1" bits (Hamming weight).
Capture Characterization Traces: Script a loop to capture power traces while sending a wide range of controlled data byte values to the target microcontroller.
Analyze Power vs. Weight: Write Python scripts within Jupyter to average our traces and map power usage directly against the calculated Hamming weight values (0 through 8).
Visualize the Linear Relationship: Review the resulting correlation plots to visually confirm the linear profile of hardware power consumption relative to data states.
This session provides the rigorous statistical foundation required to build accurate power leakage models, which are essential for advancing to high-level Correlation Power Analysis (CPA) attacks in upcoming labs.
Music by Karl Casey @ White Bat Audio – used under the White Bat Audio license.
Tracks from the “White Bat I” album (e.g., “Elysium”)
#HardwareSecurity #Cybersecurity #ChipWhispererNano #SCA101 #HardwareHacking #SideChannelAnalysis #HammingWeight #PowerAnalysis #PythonHacking #JupyterNotebook
Видео EP 11 | Hardware Hacking: Power and Hamming Weight Relationship - ChipWhisperer Nano канала Qustrike Qu
Now, in Episode 11, we are moving into the next module of the NewAE SCA101 curriculum: Lab 4_1 - Power and Hamming Weight Relationship (MAIN).
Up to this point, we have intuitively relied on the idea that changing bits or handling data alters the power consumption of our target device. In this lab, we dive much deeper into the underlying physics and statistics of that leakage. Instead of immediately jumping into an attack, we will explicitly measure, plot, and verify the mathematical correlation between the Hamming weight of processed data and the exact physical voltage drops captured by our hardware.
During this live walkthrough, we will:
Load and Configure the Lab 4.1 Notebook: Step through the workspace environment and initialize our ChipWhisperer Nano hardware API.
Explore Leakage Theory: Discuss how CMOS transistors leak power when charging and discharging internal capacitances, and why this relates directly to the count of "1" bits (Hamming weight).
Capture Characterization Traces: Script a loop to capture power traces while sending a wide range of controlled data byte values to the target microcontroller.
Analyze Power vs. Weight: Write Python scripts within Jupyter to average our traces and map power usage directly against the calculated Hamming weight values (0 through 8).
Visualize the Linear Relationship: Review the resulting correlation plots to visually confirm the linear profile of hardware power consumption relative to data states.
This session provides the rigorous statistical foundation required to build accurate power leakage models, which are essential for advancing to high-level Correlation Power Analysis (CPA) attacks in upcoming labs.
Music by Karl Casey @ White Bat Audio – used under the White Bat Audio license.
Tracks from the “White Bat I” album (e.g., “Elysium”)
#HardwareSecurity #Cybersecurity #ChipWhispererNano #SCA101 #HardwareHacking #SideChannelAnalysis #HammingWeight #PowerAnalysis #PythonHacking #JupyterNotebook
Видео EP 11 | Hardware Hacking: Power and Hamming Weight Relationship - ChipWhisperer Nano канала Qustrike Qu
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