Ran Dubin Email & Phone Number

Israel

Herzeliya, Il

BUFFERZONE Safe Workspace for endpoints provides ironclad protection from all types of downloaded and attached malware. The solution combats web fraud (phishing) with cutting-edge intelligent detection and prevention. BUFFERZONE is pro-active and simple, and does not rely on detection and alerting.

Ariel, Il

Ariel, Il

My academic research focuses on protecting critical infrastructure by combining malware insights and encrypted network traffic analysis using artificial intelligence. My areas of expertise include malware disarmament and reconstruction, bypassing AI systems, detecting encrypted network traffic (focusing on protocols, applications, and malware), network detection and response (NDR), deep packet inspection (DPI), traffic optimization, large language models (LLM), video distribution, and video optimization.I am always looking for excellent MSc and Ph.D. students.

Expert consultant in subjects of Internet network distribution, Optimization, Quality of Experience (QoE) and Cyber network analysis.- Working with fortune 500 companies on various Internet optimization algorithms.- Specialist in charge of complex Internet distribution class action claim. I was assigned by the Israeli district courts.- Managing and building international cost-effective research and R&D teams.- Transforming AI research projects to real-time products.- Developing next-generation network analysis solutions based on Smart-Nic (FPGA acceleration)

Tampa, Florida, Us

Leading OPSWAT research and innovation for Malware Analysis Solution (MAS).Develop state-of-the-art dynamic malware analysis powered by Deep Learning.Previously, CEO of SNDBOX malware sandbox.

Giv'Atayim, Israel, Il

SNDBOX protects your organization from malicious malware using an undetectable kernel-mode agent and Deep Learning. SNDBOX's scalable solution is the fastest in the industry, providing accurate verdicts in under 60 seconds.Powered by a unique Deep Learning multi-vector detection technology, SNDBOX delivers dynamic, static, network and image processing detection. These functions work together to detect 0-day and evasive malware attacks.

Multidisciplinary research with a proven ability to develop fast prototyping and implement them in production from end to end. Hands on experience in developing multiple big-data (based on spark) cyber malware defense classification algorithms based on data intelligence and crowdsourcing. Develop novel command and control malware classifiers. Malware similarity engines based on graph algorithms, distance metrics and natural language processing (NLP). Research various data sources for User Behavior Analytics (UBA) protection solution that is designed to detect insider threats, external attacks and lateral movements inside the organization using unsupervised and supervised machine learning. Transfer raw unstructured log information to accurate and enriched information.Develop novel deep learning algorithms which transfer knowledge from threat intelligence to UBA attack detection.

Leading all CYBERBIT cyber and intelligence division various research projects such as the Horizon 2020 initiatives and various Office of the Chief Scientist (OCS) funded programs. One of my main roles it so lead Infomedia big-data CSO consortium in CYBERBIT. In this program we are researching state of the art encrypted traffic classification methods, extracting insights from social media using NLP methods and improving user’s location estimations from various noisy information sources. In this project I am responsible for leading 10 researchers indirect and 2 as a direct team leader.

Conducting research in various fields mainly in mobile reverse engineering, Wi-Fi hacking and encryption manipulation algorithms .

Hoboken, New Jersey, Us

Team member of a versatile software team which develop state of the art Deep Packet Content Extraction Engine. I develop extraction models for various UDP and TCP network traffic with and without encryption. My last module was SPDY/HTTP2 packet decoder.

Hod-Hasharon, Il

Member of application layer team, handling real-time issues such as memory and run time constraints. Close work on client charging solutions and subscriber management with multi-threaded considerations. Creating a scalable and unified real time internal messaging platform for all allot Net Enforcer's products.

Hod-Hasharon, Il

Leading the application layer Protocol research team. Responsible for highly complex detection algorithms for encrypted traffic and secure P2P protocols in order to offer reliable and accurate DPI signature algorithms and heuristics. Deep understanding of video streaming and P2P data distribution.

Be'Er Sheva, Il

Worked on the h.264/SVC standard reference code in C++. Adding a multi-layer rate control algorithm With consideration of region of interest ability to the official standard.

After my army service, I worked in a satellite control room. Transmitting TV services from one satellite to another one. Responsible for dropping down the communication, finding the different satellites, and making sure the QoE of the transmission is the best since it affected millions of users worldwide.

Doctor Of Philosophy (Ph.D.), Communication Systems Engineering

Ms.C, Communication Eng

Bs.C, Comunication Eng