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Distance learning is becoming a popular mode of learning among individuals seeking to add new skills to their repertoire or acquire an advanced degree. The availability of online course materials from institutions in academia aid this process, lending standardized and validated information to the audience seeking such knowledge. Although the online system of learning is extremely convenient for acquiring...
The advent of the Internet of Things (IoT) has proliferated the use of connected sensors to observe and control the world around us. Wireless Sensor Networks (WSN) are becoming ubiquitous tools that monitor their surroundings and also oftentimes provide actuation to affect the state of their environment. One of the key application domains for real-time monitoring and control is the freight railroad...
Advances in Wireless Sensor Networks (WSN) have enabled new technologies to offer enriched reliability, seamless mobility, safety, and security in surface transportation. In rail transportation, WSNs play an important role in real-time monitoring of freight railcars to prevent major failures and derailments. However, the wireless communications among a large number of sensors onboard of a train present...
The Internet of Things (IoT) is a new paradigm that envisions ubiquitous connectivity. It provides new ways in which distributed systems can be imagined with devices communicating with each other and also with humans. The data provided by such a large, heterogeneous network can be leveraged to provide enhanced services to society and solve problems previously deemed impossible. Most devices in IoT...
The North American freight railroad industry is moving towards on-board sensor networks for real-time or near real-time status monitoring of railcars' components. The sensors are to be powered by batteries or energy harvesting sources of power. Hence, the critical constraint for such a sensor network is available energy balanced against energy consumption requirements in order to achieve multi-year...
In this paper, we propose a novel Covert Timing Channel (CTC) detection method that leverages computationally low-cost statistical measures to precisely detect covert communication, using only minimum network traffic knowledge. The proposed detection approach utilizes three different non-parametric statistical tests to classify overt and covert inter-packet delays.
Extensive availability and development of Internet applications and services open up the opportunity for abusing network and Internet resources to distribute malicious data and leak sensitive information. One of the prevalent information-hiding approaches suitable for such activities is known as Covert Timing Channel (CTC), which utilizes the modulation of Inter-Packet Delays (IPDs) to embed secret...
In this paper we introduce a new approach for modeling covert channel algorithms utilizing automated code generation and evaluation in real network environments. Our proposed framework is called Automated Covert Channel Modeling over Networks (ACCM-Net), which allows the user to convert any general description of a covert channel algorithm into executable code using an automated process. The resulting...
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