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In this paper, we aimed to build the Abnormal Behavior Profiling (ABP) of IoT devices to supplement other studies that focused on the abnormal behavior detection of IoT devices with a high accuracy rate by a wide variety of machine learning algorithms. ABP will integrate all types of abnormal behavior detection and possess a key role for the purpose of IoT security in the future. Our technical motivation...
In this paper, we address the issue of profiling users over the Internet using meta-data logs derived from network flow data (hence preserving a high degree of privacy). In this broader context, we specifically aim to empirically demonstrate that Internet volume and time of usage of humans do exhibit repeatable behavior over time. In our experimental study, Internet usage statistics of octets and...
In recent years, many database systems have been deployed in virtualized cloud platforms to take advantage of the general benefits of virtualization and cloud computing. However, deploying database systems in such environments poses some challenges that should be addressed. The performance of database systems can degrade due to the various overheads introduced by the virtualization including CPU,...
Recent rapid scale out of high performance computing systems has rapidly and continuously increased the scale and complexity of the interconnects. As a result, current static and over-provisioned interconnects are becoming cost-ineffective. Against this background, we have been working on the integration of network programmability into the interconnect control, based on the idea that dynamically controlling...
Inefficient mobile software kills battery life. Yet, developers lack the tools necessary to detect and solve energy bugs in software. In addition, developers are usually tasked with the creation of software features and triaging existing bugs. This means that most developers do not have the time or resources to research, build, or employ energy debugging tools.We present a new method for predicting...
This article considers problems of distributed database structure development connected with presenting similar data in different nodes. It is suggested to use the results of users SQL-queries parsing for optimizing DB structure in order to increase local requests and synchronization speed.
As the Android app market keeps growing, there is a pressing need for automated tool supports to empower Android developers to produce quality apps with higher productivity. Yet existing tools for Android mostly aim at security and privacy protection, primarily targeting end users and security analysts. Towards filling this gap, we present DROIDFAX, a toolkit that targets the developers to help them...
Many-core processors are imposing new constraints to parallel applications. In particular, the MPI+X model or hybridization is becoming a compulsory avenue to extract performance by mitigating both memory and communication overhead. In this context, performance tools also have to evolve in order to represent more complex states combining multiple runtimes and programming models. In this paper, we...
The advantages of standardizing communications for implementing a Smart Grid depends on the adaptability and general ongoing extension of communication standards in order to include new innovative functions. The BMWi-funded project Green Access demonstrates which possible new control functions could be adopted for extending the communication standard IEC 61850.
The Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission was recently selected by NASA as part of the Earth Venture Instrument (EVI-3) program. The overarching goal for TROPICS is to provide nearly all-weather observations of 3-D temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal...
Recent advances in low-power millimeterwave low-noise amplifier technologies have enabled the hosting of high-performance atmospheric sounding instruments on very small satellites. Microwave instrumentation is particularly well suited for such implementations, as the sensor requirements for power, pointing, and spatial resolution (aperture size) can readily be accommodated by a nanosatellite platform...
Cloud Radio Access Network (C-RAN) is emerging as a transformative architecture for the next generation of mobile cellular networks. In C-RAN, the Baseband Unit (BBU) is decoupled from the Base Station (BS) and consolidated in a centralized processing center. While the potential benefits of C-RAN have been studied extensively from the theoretical perspective, there are only a few works that address...
The growing demand for flexibility and cost reduction in the telecommunication landscape directs the focus of service development heavily to programmability and softwarization. In the domain of Network Function Virtualization (NFV), one of the goals is to replace dedicated hardware devices (such as switches, routers, firewalls) with software-based network functionalities, showing comparable performance...
The ubiquity of cyber-incidents across individual and organizational realms suggests the inability of stakeholders to contain its pervasiveness. Reports across law enforcement, industry, and academia have corroborated this suggestion, with estimations of more explosive figures in the next couple of years. Insufficient investigative techniques, amongst others, have been identified as the stumbling...
This work addresses the problem of optimizing graph-based programs for multicore processors. We use three graph benchmarks and three input data sets to characterize the importance of properly partitioning graphs among cores at multiple levels of the cache hierarchy. We also exhaustively explore a large design space comprised of different parallelization schemes and graph partitionings via detailed...
Recent advances in low-power millimeterwave low-noise amplifier technologies have enabled the hosting of highperformance atmospheric sounding instruments on very small satellites. Microwave instrumentation is particularly well suited for such implementations, as the sensor requirements for power, pointing, and spatial resolution (aperture size) can readily be accommodated by a nanosatellite platform...
This paper explores the potential of Machine Learning (ML) and Artificial Intelligence (AI) to lever Internet of Things (IoT) and Big Data in the development of personalised services in Smart Cities. We do this by studying the performance of four well-known ML classification algorithms (Bayes Network (BN), Naïve Bayesian (NB), J48, and Nearest Neighbour (NN)) in correlating the effects of weather...
The large amount of data that needs to be processed, still remains one of the major hindrance toward widespread acceptance of dynamic metrics. This paper presents a live execution trace streaming based approach using platform as a service (PaaS) to overcome this hurdle. The proposed approach is the first of its type having the ability to provide the users with live dynamic coupling metric trends....
DATEX II has been developed to provide a standardized way of communication and exchange of traffic information and it plays an important role for implementing integrated Intelligent Transportation Systems (ITS) in Europe. This standard is suggested for providing information services for safe and secure truck parking places which is considered one of the priority in the ITS Action Plan. The novelty...
In the quest for energy efficiency of Information and Communication Technology, so far research has mostly focused on the role of hardware. However, as hardware technology becomes more sophisticated, the role of software becomes crucial. Recently, the impact of software on energy consumption has been acknowledged as significant by researchers in software engineering. In spite of that, measuring the...
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