Security
To generate the experimental datasets, we collect popular container applications mentioned in B4 like email and database. We also collect some applications based on containers mentioned in other papers. We use these applications as templates and generate experimental datasets by massive replication. To make the dataset closer to reality, we also randomly attach user-specific labels to containers and policies.
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The picture shows the operation result of image security retrieval. The experiment was validated on five common data sets.
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148 Views
Anonymous network traffic is more pervasive than ever due to the accessibility of services such as virtual private networks (VPN) and The Onion Router (Tor). To address the need to identify and classify this traffic, machine and deep learning solutions have become the standard. However, high-performing classifiers often scale poorly when applied to real-world traffic classification due to the heavily skewed nature of network traffic data.
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798 Views
The data used in the research paper for publication in IEEE Access, entitled “Smishing Strategy Dynamics and Evolving Botnet Activities in Japan.”
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455 Views
This dataset accurately models the internal behavior of an IoT spectrum sensor (belonging to the ElectroSense platform and consisting of a Raspberry Pi 3 with a software-defined radio kit) when it is functioning normally and under attack. To accomplish it, the system calls of the IoT sensor are monitored under normal behavior, gathered, cleaned, and stored in a centralized directory. Then, the device is infected with current malware affecting IoT devices, such as the Bashlite botnet, Thetick backdoor, Bdvl rootkit, and a Ransomware proof of concept.
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1376 Views
The dataset is generated by performing different Man-in-the-Middle (MiTM) attacks in the synthetic cyber-physical electric grid in RESLab Testbed at Texas AM University, US. The testbed consists of a real-time power system simulator (Powerworld Dynamic Studio), network emulator (CORE), Snort IDS, open DNP3 master, SEL real-time automation controller (RTAC), and Cisco Layer-3 switch. With different scenarios of MiTM attack, we implement a logic-based defense mechanism in RTAC and save the traffic data and related cyber alert data under the attack.
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1530 Views
This dataset was created using Wireshark. The dataset contains a total of 30 encrypted communication records, 3 records (.pcap) were created for each application. The records were obtained from a mobile device that was connected to the laptop using wifi technology. The laptop was connected to the Internet and contained a running instance of Wireshark to create a record. The telephone had been restarted before each record was created. After connecting to the network, the device was left without user interaction for 5 minutes.
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583 Views
“ProVerif” is a powerful utility designed to examine “reachability properties,” “correspondence assertions,” and “observational equivalences.” Our protocol modelling addresses both the elemental security requirements, like “impersonation” or “replay” attack, and the most advanced ones, like “perfect forward secrecy” or “password guessing attack.”
Because we had a limited space in our published paper, the program source codes are provided here. The codes can be tested online at "http://proverif16.paris.inria.fr/".
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149 Views
Port scanning attack is popular method to map a remote network or identify operating systems and applications. It allows the attackers to discover and exploit the vulnerabilities in the network.
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1514 Views
The goal of our research is to identify malicious advertisement URLs and to apply adversarial attack on ensembles. We extract lexical and web-scrapped features from using python code. And then 4 machine learning algorithms are applied for the classification process and then used the K-Means clustering for the visual understanding. We check the vulnerability of the models by the adversarial examples. We applied Zeroth Order Optimization adversarial attack on the models and compute the attack accuracy.
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2373 Views