There are use cases, specifically in Internet of Things (IoT) and constrained environments that do not require confidentiality, though mutual authentication during tunnel establishment and message integrity is still mandated. This document defines the use of HMAC only as ciphersuites in TLS 1.3.
Sensor Networks are becoming ubiquitous as they are deployed in many applications, from the consumer electronics, home appliances, and modern vehicles to critical infrastructures and industrial control systems. With the promise of improved user experience, maintainability and automation, these sensor networks interconnect and communicate over the Internet by employing Internet-aware embedded systems: IoT devices. With such capabilities, not only can management and control systems better manage the sensor network’s efficiency and capabilities, so too can the attackers gain insight and leverage these networks and devices for malicious intent. This paper provides an overview of the evolving threats and technology trends to help address them.
The applications aimed at monitoring and controlling smart homes and buildings, health, industrial environments, traffic, energy consumption, resources, and so on, are being increasingly deployed due to the advantages they provide, increasing efficiency and decreasing costs. In this context Wireless Sensor Networks (WSN) have become a leading solution providing the appropriate mean to get and collect data and deliver it for their processing. Sensor nodes in a WSN have resource constraints, presenting low processing power and, in some cases, restrictions in power consumption. Resources availability constraints force researchers and engineers to develop proper Operating Systems (OS) aimed at low-power wireless devices, and one of the most important and in active use is the TinyOS. This paper describes an experimental analysis and evaluation which investigates relevant features and evaluates the performance (throughput, network delay, success rate, and energy consumption) of WSN under the constraint of using the lowpower-consumption-aimed chosen operating system in an harsh outdoor industrial environment for with two different protocols: Active Message (AM) layer protocol and the fully 802.15.4 compliant protocol stack TKN15.4. Based on the results we conclude that TKN15.4 is better in energy consumption and success rate. On the other hand, AM protocol allows running multiple services using the same radio, but at the cost of an excessive energy consumption.
This document discusses the applicability of the Routing Protocol for Low-Power and Lossy Networks (RPL) in Advanced Metering Infrastructure (AMI) networks.
This document defines the scope and set of requirements for the Security Automation and Continuous Monitoring (SACM) architecture, data model, and transfer protocols. The requirements and scope are based on the agreed-upon use cases described in RFC 7632.
Embedded, mobile, and cyberphysical systems are becoming ubiquitous and are used in many applications, from consumer electronics, industrial control systems, modern vehicles, to critical infrastructures. Current trends and initiatives, such as Internet of Things (IoT) and smart cities, promise innovative business models and novel user experiences through strong connectivity and effective use of next generation embedded devices. These systems generate, process, and exchange vast amount of security-critical and privacy-sensitive data, which makes them attractive targets of attacks. Cyberattacks on IoT systems are highly critical since they may cause physical damage and threaten human lives. The complexity of these systems, the lack of security and privacy by design for current IoT devices, and potential impact of cyberattacks will bring about new threats. This paper gives an overview on the related security and privacy challenges, and an outlook on possible solutions towards a holistic security framework for IoT systems.
This document defines a transport protocol for use with the Security Automation and Continuous Monitoring (SACM) Architecture.
David A. Mcgrew合作论文数Cisco Systems,1