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Internet of Things (IoT) is an emerging paradigm in information technology (IT) that integrates advancements in sensing, computing and communication to offer enhanced services in everyday life. IoTs are vulnerable to sybil attacks wherein an adversary fabricates fictitious identities or steals the identities of legitimate nodes. In this paper, we model sybil attacks in IoT and evaluate its impact...
The unconstrained rise in water usage as a result of population growth, rapid urbanization and climate change has become an issue of paramount concern for policy makers across the globe. Consequently, fresh water as a renewable but finite resource must be managed efficiently to sustain domestic and productive activities. Efficient water management strategies must be developed to address the challenges...
Internet of Things (IoTs) is gaining increasing significance due to real-time communication and decision making capabilities of sensors integrated into everyday objects. Predicting performance in IoTs is critical for detecting performance bottlenecks, designing optimal sleep/wake-up schedules and application-aware performance tuning. However, performance prediction becomes a significant challenge...
Internet of Things (IoTs) is gaining increasing significance due to real-time communication and decision making capabilities of sensors integrated into everyday objects. Securing IoTs is one of the foremost concerns due to the ubiquitous nature of the sensors coupled with the increasing sensitivity of user data. Further, power-constrained nature of the IoTs emphasizes the need for lightweight security...
Internet of Things (IoTs) is gaining increasing significance due to real-time communication and decision making capabilties of sensors integrated into everyday objects. IoTs are power and bandwidth-constrained with applications in smarthome, healthcare, transportation and industrial domains. Routing bears significant importance in IoTs where sensors acting as hosts deliver data to the gateways which...
Energy Management is of primary importance in mobile devices due to increasing functionality coupled with rapid battery drain. Our analysis reveals that users differ in their context and resource usage patterns which can be profiled towards developing predictive models for energy savings. A key challenge lies in providing user-adaptive security in an energy-aware manner due to increasing sensitivity...
The increasing complexity of mobile applications coupled with growing user demands lead to rapid battery drain in mobile devices. However, battery technology cannot keep up with these trends thus making power management one of the foremost concerns. While system-level approaches to power management exist, the energy impact of applications on individual system components needs to be better understood...
This paper proposes a robust and automated applause detection algorithm for meeting speech. The features used in the proposed algorithm are the short-time autocorrelation features such as autocorrelation energy decay factor, amplitude and lag values of first local minimum and zero-crossing points extracted from the autocorrelation sequence of a windowed audio signal. We apply decision thresholds for...
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