Dr. Ran Dubin is a renowned expert in network communication and cyber threat detection, with a strong academic background in understanding and optimizing encrypted network traffic. He has published numerous papers in top-tier journals, including over 15 articles in IEEE Transactions on Information Forensics and Security, and has presented his research at dozens of international conferences. Notably, he has been recognized as an expert in internet network class claims issues by the Israeli District Courts and has consulted on various related cases. In addition to his academic achievements, Ran has extensive experience in developing artificial intelligence (AI) algorithms and deep learning solutions for diverse industrial applications, such as network intelligence, advertising fraud detection, malware classification, and User and Entity Behavioral Analytics (UEBA). With a strong foundation in computer science, Ran holds a BSc, MSc, and Ph.D. in Communication Systems Engineering from Ben Gurion University, Israel.
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Chief Innovation OfficerGeoedgeIsrael
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Chief Technology OfficerBufferzone Security Jul 2022 - PresentHerzeliya, IlBUFFERZONE 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. -
Senior Lecturer, Department Of Computer And Software Engineering & Head Of Cyber ProgramAriel University Oct 2024 - PresentAriel, Il -
Senior Lecturer, Department Of Computer Science, Ariel Cyber Innovation Center, Ariel UniversityAriel University Sep 2021 - Oct 2024Ariel, IlMy 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.
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Network Communication Expert ConsultantPrivate Consultant Jan 2014 - PresentExpert 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)
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Director Of Innovation Malware Analysis SolutionOpswat Sep 2021 - Jun 2022Tampa, Florida, UsLeading 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. -
Ceo & Founder (Acquired By Opswat)Sndbox 2017 - Sep 2021Giv'Atayim, Israel, IlSNDBOX 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. -
Senior Data ScientistSeculert (Acquired By Radware) Jan 2016 - Jun 2017Multidisciplinary 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.
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Research And Innovation Project ManagerCyberbit Apr 2015 - Jan 2016Leading 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.
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Cyber Research And Software Eng.Nice Systems (Acquired By Cyberbit) Jul 2014 - Apr 2015Conducting research in various fields mainly in mobile reverse engineering, Wi-Fi hacking and encryption manipulation algorithms .
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Deep Content Packet Inspection Software Eng.Nice Systems Jan 2013 - Jul 2014Hoboken, New Jersey, UsTeam 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. -
Embedded Software Eng.Allot Communications Sep 2011 - Dec 2012Hod-Hasharon, IlMember 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. -
Protocol Researcher (Dpi Team )Allot Communications Sep 2010 - Sep 2011Hod-Hasharon, IlLeading 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.
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Multimedia ProgrammerBen Gurion University Jul 2009 - Jul 2010Be'Er Sheva, IlWorked 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. -
Satellite BrodcastingSatlink Communications 2004 - 2007After 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.
Ran Dubin Education Details
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Ben-Gurion University Of The NegevCommunication Systems Engineering -
Ben-Gurion University Of The NegevCommunication Eng
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Ben-Gurion University Of The NegevComunication Eng
Frequently Asked Questions about Ran Dubin
What company does Ran Dubin work for?
Ran Dubin works for Geoedge
What is Ran Dubin's role at the current company?
Ran Dubin's current role is Chief Innovation Officer.
What schools did Ran Dubin attend?
Ran Dubin attended Ben-Gurion University Of The Negev, Ben-Gurion University Of The Negev, Ben-Gurion University Of The Negev.
Who are Ran Dubin's colleagues?
Ran Dubin's colleagues are Hadar Holan, Moshe Dror, Lia Freeman, Josh Ackerman, מורן Moran, Ilai Oron, Nasrin Cohen.
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