The measurement of meaning

The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk; discusses how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context; addresses various IoT and eHealth policies and regulations across the world to determine how they can facilitate economies and societies in terms of sustainable development; and provides some avenues for future research on IoT-based health care based on a set of open issues and challenges.

The Internet of Things for Health Care: A Comprehensive Survey

Normal accidents. Living with high-risk technologies

(1963). Cybernetics, or Control and Communication in the Animal and the Machine. Technometrics: Vol. 5, No. 1, pp. 128-130.

Cybernetics, or Control and Communication in the Animal and the Machine

Software fault localization, the act of identifying the locations of faults in a program, is widely recognized to be one of the most tedious, time consuming, and expensive – yet equally critical – activities in program debugging. Due to the increasing scale and complexity of software today, manually locating faults when failures occur is rapidly becoming infeasible, and consequently, there is a strong demand for techniques that can guide software developers to the locations of faults in a program with minimal human intervention. This demand in turn has fueled the proposal and development of a broad spectrum of fault localization techniques, each of which aims to streamline the fault localization process and make it more effective by attacking the problem in a unique way. In this article, we catalog and provide a comprehensive overview of such techniques and discuss key issues and concerns that are pertinent to software fault localization as a whole.

A Survey on Software Fault Localization

Due to inherent limitations in wireless sensor networks, security is a crucial issue. While research in WSN security is progressing at tremendous pace, no comprehensive document lists the security issues and the threat models which pose unique threats to the wireless sensor networks. In this paper we have made an effort to document all the known security issues in wireless sensor networks and have provided the research direction towards countermeasures against the threats posed by these issues.

Security Issues in Wireless Sensor Networks

Vehicu lar ad-hoc networks (VANETs) technology has emerged as an important research area over the last few years. Being ad-hoc in nature, VA NET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. VA NETs have now been established as reliable networks that vehicles use for co mmunication purpose on highways or urban environments. Along with the benefits, there arise a large number of challenges in VANET such as provisioning of QoS, h igh connectivity and bandwidth and security to vehicle and individual privacy. This article presents state-of-the-art of VANET and discusses the related issues. Network architecture, signal modeling and propagation mechanis m, mobility modeling, routing protocols and network security are discussed in detail. Main findings of this paper are that an efficient and robust VANET is one wh ich satisfies all design parameters such as QoS, minimu m latency, low BER and high PDR. So me key research areas and challenges in VANET are presented at the end of the paper.

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Vehicular Ad-Hoc Networks (VANETs): An Overview and Challenges

Wireless sensor networks are result of developments in micro electro mechanical systems and wireless networks. These networks are made of tiny nodes which are becoming future of many applications where sensor networks are deployed in hostile environments. The deployment nature where sensor networks are prone to physical interaction with environment and resource limitations raises some serious questions to secure these nodes against adversaries. The traditional security measures are not enough to overcome these weaknesses. To address the special security needs of tiny sensor nodes and sensor networks as a whole we introduce a security framework. In our framework we emphasize on three areas: (1) cluster formation (2) secure key management scheme, and (3) a secure routing algorithm. Our security analysis shows that the framework presented in this paper meets the unique security needs of sensor networks.

A Security Framework for Wireless Sensor Networks

Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals

Besides its enormous benefits to the industry and community the Internet of Things (IoT) has introduced unique security challenges to its enablers and adopters. As the trend in cybersecurity threats continue to grow, it is likely to influence IoT deployments. Therefore it is eminent that besides strengthening the security of IoT systems we develop effective digital forensics techniques that when breaches occur we can track the sources of attacks and bring perpetrators to the due process with reliable digital evidence. The biggest challenge in this regard is the heterogeneous nature of devices in IoT systems and lack of unified standards. In this paper we investigate digital forensics from IoT perspectives. We argue that besides traditional digital forensics practices it is important to have application-specific forensics in place to ensure collection of evidence in context of specific IoT applications. We consider top three IoT applications and introduce a model which deals with not just traditional forensics but is applicable in digital as well as application-specific forensics process. We believe that the proposed model will enable collection, examination, analysis and reporting of forensically sound evidence in an IoT application-specific digital forensics investigation.

Tanveer A. Zia

Papers

Security Issues in Wireless Sensor Networks

Vehicular Ad-Hoc Networks (VANETs): An Overview and Challenges

A Security Framework for Wireless Sensor Networks

Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals

Application-Specific Digital Forensics Investigative Model in Internet of Things (IoT)