Electrical Network Frequency (ENF) Maximum-Likelihood Estimation Via a Multitone Harmonic Model. - Dima Bykhovsky; Asaf Cohen 001 (IEEE Trans. Inf. Forensics Secur., 2013)

aIR-Jumper: Covert Air-Gap Exfiltration/Infiltration via Security Cameras & Infrared (IR). - Mordechai Guri; Dima Bykhovsky; Yuval Elovici (CoRR, 2017)

On the numerical generation of positive-axis-defined distributions with an exponential autocorrelation function. - Dima Bykhovsky; Vladimir Lyandres (Digit. Signal Process., 2018)

Mathematica code for numerical generation of random process with given distribution and exponential autocorrelation function. - Dima Bykhovsky (SoftwareX, 2018)

CTRL-ALT-LED: Leaking Data from Air-Gapped Computers Via Keyboard LEDs. - Mordechai Guri; Boris Zadov; Dima Bykhovsky; Yuval Elovici (COMPSAC (1), 2019)

aIR-Jumper: Covert air-gap exfiltration/infiltration via security cameras & infrared (IR). - Mordechai Guri; Dima Bykhovsky (Comput. Secur., 2019)

Teaching wireless channel modeling with software-defined radio. - Dima Bykhovsky (Comput. Appl. Eng. Educ., 2020)

BRIGHTNESS: Leaking Sensitive Data from Air-Gapped Workstations via Screen Brightness. - Mordechai Guri; Dima Bykhovsky; Yuval Elovici (CoRR, 2020)

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels. - Dima Bykhovsky (Sensors, 2020)

PowerHammer: Exfiltrating Data From Air-Gapped Computers Through Power Lines. - Mordechai Guri; Boris Zadov; Dima Bykhovsky; Yuval Elovici (IEEE Trans. Inf. Forensics Secur., 2020)

Online Peer Assessment in Undergraduate Electrical Engineering Course. - Gali Naveh; Dima Bykhovsky (IEEE Trans. Educ., 2021)

Electrical Equipment Fingerprinting with Electrical Network Current Consumption. - Mikhail Ronkin; Dima Bykhovsky (TSP, 2022)

Hyper-Spectral Image Compression By Joint Spatial Spectral Dimension Reduction Using Thresholded Principal Component Analysis. - Liel Kapah; Noy Weizman; Dima Bykhovsky; Isaac August (WHISPERS, 2022)

Passive Fingerprinting of 22" Computer Monitors by Current Consumption. - Dima Bykhovsky; Mikhail Ronkin (IEEE DataPort, 2022)

Python-Based Simulation of Non-Gaussian Stationary Random Process with Arbitrary Auto-Correlation Function. - Dima Bykhovsky; Netanel Tochilovsky; Alexander Rudyak (ICECET, 2023)

Hyperspectral Image Prediction Using a Linear Model in Different Illumination Conditions. - Shalom Hai Kobi; Mor David; Isaac August; Dima Bykhovsky (WHISPERS, 2023)

Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption. - Mikhail Ronkin; Dima Bykhovsky (Sensors, 2023)

Sound Analysis of Drop Characteristics by Evaluation of Impact on Water Pool. - Merav Arogeti; Etan Fisher; Dima Bykhovsky (SPA, 2024)

Deep Learning-Based Method for Activity Estimation From Short-Duration Gamma Spectroscopy Recordings. - Tom Trigano; Dima Bykhovsky (IEEE Trans. Instrum. Meas., 2024)

An Open X-Ray Spectrometric Dataset for Deep Learning-Based Pile-up Correction. - Congyu Lin; Zikang Chen; Chujun Feng; Songqi Gu; Xiaoying Zheng; Yongxin Zhu 001; Tom Trigano; Dima Bykhovsky (WASA (3), 2025)

GaSim: A python class to generate simulated time signals for gamma spectroscopy. - Zikang Chen; Dima Bykhovsky; Xiaoying Zheng; Tom Trigano; Yongxin Zhu 001 (SoftwareX, 2025)

Deep Learning-Based Energy Spectrum Estimation for High Counting Rate Nuclear Spectrometry. - Yiwei Huang; Congyu Lin; Dima Bykhovsky; Tom Trigano; Zikang Chen; Xiaoying Zheng; Yongxin Zhu 001 (IEEE Trans. Instrum. Meas., 2025)