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The HMI-Guard platform opens up a non-intrusive means of guarding against human errors that are introduced by Human-in-the-loop (HITL) interaction via the Human Machine Interfaces (HMIs). Motivation for this framework is partly in response to prevalence of legacy HMI devices (E.g. meters, rotary dials, gauges, alarm indicators, etc.) in industrial control room environments such as in nuclear power...
Traditional means of communication rely on a centralized service provider, which may not be functional in the wake of a disaster. With a traditional cellular service provider, when somebody (Alice) wants to send a text message to someone else (Bob), the message is sent from Alice's phone to a cellular network and then finally to Bob. This process happens regardless if they are located on opposite...
The Internet of Things (IoT) is the ever-growing network of physical devices with IP addresses for Internet connectivity. Due to its ubiquitous nature and distributed architecture which includes devices, applications and humans, it presents a complex structure for security. Also, the incorporation of thousands of heterogeneous IoT devices with different characteristics into a single network creates...
A novel case for visual data acquisition (ViDAQ) as an non-intrusive, scalable and reliable means of monitoring Human Machine Interfaces (HMIs) is envisioned. ViDAQ is a step towards achieving real-time cross-validation of human operator commands with respect to HMI states in large scale industrial control room environments. HMIs are integral in allowing human operators to safely command and monitor...
Conventional power network capabilities have improved and enhanced by the smart grid but at the same time making it more vulnerable to different types of attacks. These vulnerabilities allow an attacker to breakdown integrity and confidentiality and permit access to the network. Intrusion Detection System (IDS) is one of the significant ways to provide secure and reliable services in a smart grid...
Modern embedded systems generate a large volume of data that require a highly scalable and available framework that enables computing, storage, and data analysis. Many cloud providers offer unlimited storage as well as a flexible processing infrastructure, allowing for executing a large number of tasks with high performance. This paper presents a framework for extending the local resources of embedded...
There has been a recent rapid increase in the number of Internet of Things (IoT) devices, providing a wide range of services for smart homes such as surveillance cameras, smart lighting, and door locks that can be remotely accessed and controlled. User mobility makes static security mechanisms, such as usernames and passwords, tedious to use. In this paper, we introduce a context-aware authentication...
Parallel programming has been an active area of research in computer science and software engineering for many years. Parallel programming should ideally provide a linear speedup to computational problems. In reality, this is rarely the case. While there are some algorithms that cannot be parallelized, many that can, still fail to provide the ideal linear speedup. For algorithms that can benefit from...
Operator situational awareness in Nuclear Power Plant (NPP) control rooms is quintessential in ensuring plant safe operation. Towards improving situational awareness, a novel framework of the EYE - Expert Supervisory System capable of visually monitoring human machine interfaces (HMI) in cyber physical system (CPS) is proposed with target application in NPP control room environment. EYE applied on...
It is becoming more common to see software applications taking advantage of the many RESTful web services available publicly to meet their needs rather than developing an in-house solution. This introduces the problem where failures can occur in the network or on the service provider outside the influence of a developer. This paper introduces a reliability-aware framework with a focus on availability...
A computer program, at its most basic level is a series of low level processor instructions which are executed sequentially. These instructions take time to execute, thus longer programs have longer execution times. One way to decrease the execution time for a program is to decrease the required time for each instruction. This is called frequency scaling. The disadvantage of frequency scaling is that...
The Sensorian Hub is a software platform designed and developed for using the Raspberry Pi Single Board Computer (SBC) as a sensor node, whether independently or in a larger network of sensors. The intention of the platform is to provide an easy to use and highly customizable system for collecting and processing sensor data in a variety of environments and applications. In this paper, the design and...
Given Android's popularity, it is likely that Android devices will be targeted with increasing frequency by malware designers, in particular by programs which are designed to steal some of the sensitive personal or financial information. This threat puts an obligation on security professionals and software developers to work to ensure that the Android platform is as secure as possible. Users of mobile...
The rapid increase of Internet of Things (IoT) devices will have a significant impact on people's daily life, providing a wide range of services, such as smart lights, door locks, and cameras remotely controlled by smartphones. Remote access within the same environment or via the Internet requires effective authentication and authorization mechanisms beyond those provided by static authentication...
Fair and Delay Adaptive Scheduler (FDAS) is a scheduling mechanism that dynamically adapts to the incoming traffic flows' requirements in term of bandwidth allocation, delay bounds and packet loss restrictions. It performs this utilizing both virtual finish time fluid scheduling along with schedulability and delay sensitive scheduling. The former ensures that the flows receive a fair share of the...
The Sensorian platform is an add-on sensor shield that transforms the Raspberry Pi into an IoT platform. It is compatible with all of the existing models of the Raspberry Pi (A/B, B+, version 1 and 2), and the firmware has been tested with the Raspbian operating system, and a custom image is available for download from [1]. A Kickstarter campaign has been successfully completed and 400 shields have...
Several objectives are aimed when scheduling traffic for transmission on heterogeneous networks. Traffic flows might belong and required to satisfy different set of requirements for a diverse set of applications, end users and networks. Schedulers have several goals to achieve in order to meet the needs of all stakeholders involved. Some schedulers are built to ensure fairness in bandwidth allocation,...
This paper presents two simple, practical and scalable architectures which facilitate real-time sensor data streaming for cloud applications. Real-time sensor data is invaluable in applications where either the sensor or system state is time variant. Applications involving sensors typically push live data values to cloud based software applications that rely on live data feeds to aid real-time analytics,...
The computing and networking infrastructure in public clouds is shared between multiple users and can create abnormal variations in the performance of applications running in cloud. In this paper we compare the performance of compute-intensive applications on CPUs and GPUs offered by Amazon's cloud and show that not all applications exhibit speedups when executed on the GPU. Even for applications...
This paper presents the design and implementation of an e-health smart networked system. The system is aimed to prevent delays in the arrival of patients' medical information to the healthcare providers, particularly in accident and emergency situations, to stop manual data entering, and to increase beds capacity in hospitals, especially during public events where a large number of people are meeting...
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