Sushanta Mohan Rakshit

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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(More)
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(More)
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(More)
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(More)
Personnel safety is an integral element of any railroad operation. Rail tracks need to be regularly maintained, which often requires rail workers to be physically present on possibly live tracks along with their equipment. This results in hazardous work conditions for the workers. To ensure worker safety a reliable system for detecting oncoming trains and(More)
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(More)
The safety of rail transport has always been the top priority for the Federal Railroad Administration (FRA). Legacy technology, like wayside monitoring, is still in place and is largely relied upon for detection of faults. Modern technology like Radio Frequency Identification (RFID) has been introduced recently. However, this is largely used to detect a(More)
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(More)
North America's railroad industry and the Federal Railroad Administration continuously strive to improve operational safety and security of their operations. In order to design a reliable and efficient real-time monitoring and control network for freight trains and railcars, we had previously proposed a novel approach called Hybrid Technology Networking(More)