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    <title language="eng">No Attacks Are Available: Securing the OpenPLC and Related Systems</title>
    <abstract language="eng">The use of Programmable Logic Controllers (PLCs) expands in industrial domains, which makes ensuring the security of Industrial Control Systems (ICSs) become paramount. The OpenPLC project, the first open-source initiative, provides flexible and cost-effective PLC solutions to build up affordable test-beds, as well as conduct experiments and academic researches. This project has wildly grown in the last few years, thus it is essential to address the most emerging security challenges it encounters. This paper introduces a new OpenPLC architecture, called OpenPLC Aqua, provided with a set of security solutions designed specifically to overcome the vulnerabilities that the current OpenPLC versions are prone to. The new OpenPLC architecture includes four security features: 1) user credentials encryption, securing the Webserver, Whitelisting and secure SSL/TLS communication channel. The OpenPLC Aqua software was tested against several attack scenarios, that were feasible against the old OpenPLC versions. Our experimental results showed our enhanced OpenPLC software is secure and resistant against several attack scenarios e.g., authentication, injection, Man-in-the-Middle and replay attacks. The OpenPLC Aqua is publicly available and a proof of concept demo is also published with this paper.</abstract>
    <parentTitle language="eng">8th GI/ACM Workshop on Industrial Automation and Control Systems (IACS WS 2023), 2085 (2023)</parentTitle>
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      <firstName>Wael</firstName>
      <lastName>Alsabbagh</lastName>
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    <submitter>
      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
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    <author>
      <firstName>Chaerin</firstName>
      <lastName>Kim</lastName>
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    <author>
      <firstName>Peter</firstName>
      <lastName>Langendörfer</lastName>
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      <language>eng</language>
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      <value>OpenPLC</value>
    </subject>
    <subject>
      <language>eng</language>
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      <value>Seucrity Solutions</value>
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      <language>eng</language>
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      <value>Industrial Control Systems</value>
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      <language>eng</language>
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    <completedDate>2024-01-25</completedDate>
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    <title language="eng">Good Night, and Good Luck: A Control Logic Injection Attack on OpenPLC</title>
    <parentTitle language="eng">Proc. 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), (2023)</parentTitle>
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    <completedDate>2025-01-13</completedDate>
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    <title language="eng">Beyond the lens: false data injection attacks on IIoT-cameras through MQTT manipulation</title>
    <parentTitle language="eng">2024 7th Conference on Cloud and Internet of Things (CIoT)</parentTitle>
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    <author>
      <firstName>Wael</firstName>
      <lastName>Alsabbagh</lastName>
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      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
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    <author>
      <firstName>Chaerin</firstName>
      <lastName>Kim</lastName>
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    <author>
      <firstName>Nitin Sanjay</firstName>
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      <firstName>Peter</firstName>
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    <title language="deu">Hacking the backbone : shell reverse attacks on IIoT systems</title>
    <abstract language="eng">As Industrial Internet of Things (IIoT) systems expand , they face growing risks from complex cyber threats, including reverse shell attacks. These attacks exploit IIoT vulnerabilities, allowing unauthorized remote access and endangering industrial operations. This paper explores reverse shell attacks, where adversaries trick operators into unwittingly installing malware on IIoT devices. This malware then establishes hidden connections to the attacker's server, bypassing traditional firewalls. Exploiting command injection vulnerabilities on IIoT servers facilitates the deployment of reverse shell scripts, granting attackers persistent and covert system access. Our research focuses on IIoT device authentication, identifying weak credentials and using brute force attacks for initial access. We also demonstrate deploying Python-based reverse shell payloads via the SFTP protocol, creating lasting connections to the attacker's server. Through experiments with the Fischertechnik Learning Factory 4.0, we show how reverse shell payloads disrupt operations, enabling unauthorized commands and data theft. To counter these threats, we advocate for robust security measures like network segmentation, rigorous patch management, and advanced intrusion detection systems. All our attack codes and a proof-of-concept are publicly accessible.</abstract>
    <parentTitle language="deu">21st International Conference on Embedded Wireless Systems and Networks (EWSN)</parentTitle>
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    <author>
      <firstName>Wael</firstName>
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      <firstName>Elisabeth</firstName>
      <lastName>Vogel</lastName>
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      <firstName>Chaerin</firstName>
      <lastName>Kim</lastName>
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    <author>
      <firstName>Nitin Sanjay</firstName>
      <lastName>Patil</lastName>
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      <firstName>Peter</firstName>
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    <completedDate>2025-12-01</completedDate>
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    <title language="eng">Pirates of the MQTT : raiding IIoT systems with a rogue client</title>
    <abstract language="eng">The integration of MQTT (Message Queuing Telemetry Transport) in Industrial Internet of Things (IIoT) systems enhances operational efficiency but introduces significant security vulnerabilities, particularly through rogue MQTT clients. These clients exploit MQTT weaknesses to disrupt industrial processes and compromise data integrity. This paper examines the impact of rogue MQTT client attacks, demonstrated through a detailed case study using the Fischertechnik Lernfabrik 4.0. We highlight how attackers can exploit MQTT's inherent vulnerabilities, including anonymous connections and message retention, to inject false data and interfere with operations. To address these risks, we propose several mitigation strategies: implementing fine-grained authorization for topic access control, enhancing replay attack protection with Message Authentication Code (MAC), employing mutual TLS (mTLS) for secure client authentication, and incorporating real-time client activity monitoring and anomaly detection. These measures aim to bolster IIoT system security, mitigate potential disruptions, and maintain operational integrity. Our findings and recommendations contribute to advancing security practices in MQTT-based IIoT environments. All attack codes and a proof-of-concept are ublicly available.</abstract>
    <parentTitle language="eng">2024 8th Cyber Security in Networking Conference (CSNet)</parentTitle>
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      <firstName>Samuel</firstName>
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