Images of human embryos at various developmental stages, including 2-cell, 4-cell, 8-cell, morula, and blastocyst phases, with annotations.

Images of human embryos at various developmental stages, including 2-cell, 4-cell, 8-cell, morula, and blastocyst phases, with annotations.

The Botnet IoT Traffic Dataset for Smart Buildings provides network traffic data from Internet of Things (IoT) devices within a smart building environment, specifically capturing data that is affected by botnet activity. This dataset includes both benign and malicious traffic, allowing researchers to analyze patterns associated with botnet-infected IoT devices. The dataset is useful for developing intrusion detection systems, studying botnet behavior in IoT networks, and enhancing cybersecurity strategies for smart building infrastructures. Data features include packet characteristics, timestamps, and device-specific traffic patterns, enabling detailed analysis of network anomalies associated with IoT botnets.

The Botnet IoT Traffic Dataset for Smart Buildings provides network traffic data from Internet of Things (IoT) devices within a smart building environment, specifically capturing data that is affected by botnet activity. This dataset includes both benign and malicious traffic, allowing researchers to analyze patterns associated with botnet-infected IoT devices. The dataset is useful for developing intrusion detection systems, studying botnet behavior in IoT networks, and enhancing cybersecurity strategies for smart building infrastructures. Data features include packet characteristics, timestamps, and device-specific traffic patterns, enabling detailed analysis of network anomalies associated with IoT botnets.

This dataset presents network traffic data from simulated Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks on a Digital Meter SICAM device using the GOOSE protocol. An unauthorized attacker floods the SICAM meter's communication by initially sending 100 GOOSE packets at 1 ms intervals, followed by an intensified attack of 500 GOOSE packets. These actions render the meter unreachable by the legitimate Control Station, disrupting normal operations and data retrieval processes.

This dataset captures network traffic involving unauthorized access attacks on a Digital Meter SICAM device within a controlled test environment. It includes both normal operations and simulated attacks over TCP/IP communication. The clean traffic records legitimate interactions between the Control Station and the SICAM meter, including successful logins, data retrievals, and routine logoffs at specified timestamps. The attack traffic documents an intruder's activities after infiltrating the network: conducting network scans with Nmap, executing dictionary and brute-force attacks using Hydra to discover passwords, and accessing measured values on the SICAM meter.

This dataset captures network traffic involving unauthorized access attacks on a Digital Meter SICAM device within a controlled test environment. It includes both normal operations and simulated attacks over TCP/IP communication. The clean traffic records legitimate interactions between the Control Station and the SICAM meter, including successful logins, data retrievals, and routine logoffs at specified timestamps. The attack traffic documents an intruder's activities after infiltrating the network: conducting network scans with Nmap, executing dictionary and brute-force attacks using Hydra to discover passwords, and accessing measured values on the SICAM meter.

This dataset presents network traffic data from simulated Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks on a Digital Meter SICAM device using the GOOSE protocol. An unauthorized attacker floods the SICAM meter's communication by initially sending 100 GOOSE packets at 1 ms intervals, followed by an intensified attack of 500 GOOSE packets. These actions render the meter unreachable by the legitimate Control Station, disrupting normal operations and data retrieval processes.

This dataset captures network traffic from a simulated Advanced Persistent Threat (APT) campaign targeting a power substation's communication network. The attacker maintains a prolonged presence within the network, conducting low-profile scans using Nmap to stealthily discover the network configuration. The focus is on the communication between the Remote Terminal Unit (RTU), the Programmable Logic Controller (PLC), and the Bay Protection Unit, all of which utilize the Generic Object Oriented Substation Event (GOOSE) protocol for critical operations.

This dataset captures network traffic from a simulated Advanced Persistent Threat (APT) campaign targeting a power substation's communication network. The attacker maintains a prolonged presence within the network, conducting low-profile scans using Nmap to stealthily discover the network configuration. The focus is on the communication between the Remote Terminal Unit (RTU), the Programmable Logic Controller (PLC), and the Bay Protection Unit, all of which utilize the Generic Object Oriented Substation Event (GOOSE) protocol for critical operations.