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- Arunachalam, Raghu, et al.
(author)
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The Supply Chain Management Game for the Trading Agent Competition 2004
- 2004. - 1
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Reports (other academic/artistic)abstract
- This report is the specification for the Trading Agent Competition Supply Chain Management Game - TAC SCM-04, to be held between July 20-22, 2004, in New York in conjunction with AAMAS-04. Based on the experience of the 2003 Trading Agent Competition a few enhancements have been added to the original game: (1)The price function has been modified to better reflect demand; (2) storage costs have been introduced; and (3) customer demand has been segmented into multiple markets.
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| 2. |
- Bull, Victoria, et al.
(author)
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DETONAR-Light : An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network
- 2024
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In: Lecture Notes in Computer Science. - : Springer Science and Business Media Deutschland GmbH. - 0302-9743 .- 1611-3349. ; 14399 LNCS, s. 198-213
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Journal article (peer-reviewed)abstract
- The Internet of Things is expanding and since IoT devices and IoT networks are used in many crucial areas in modern societies, ranging from security and military applications to healthcare monitoring and production efficiency, the need to secure these devices is of great importance. Intrusion detection systems (IDS) play a significant role in securing IoT networks as their goal is to detect intruders that have gained access to one or several IoT nodes. While most IDS have been designed to detect a specific or at most a few attacks, the DETONAR framework detects multiple attacks. However, it is run on a designated sniffer network which adds additional cost in terms of hardware and maintenance. In this paper, we propose DETONAR-Light, adapting DETONAR to run using data collected at a border router rather than on sniffer logs. Our experiments show that this is possible almost without any decrease of detection and attack classification rate for many attacks
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| 5. |
- Collins, John, et al.
(author)
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The Supply Chain Management Game for the 2005 Trading Agent Competition
- 2004. - 1
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Other publication (other academic/artistic)abstract
- The Supply Chain Management Game for the 2005 Trading Agent Competition held during IJCAI 2005, in Edinburgh, Scotland. The supplier model has been substantially revised to overcome the "Day Zero" strategic singularity in TAC SCM 2003 and 2004.
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| 7. |
- Dunkels, Adam, et al.
(author)
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Powertrace: Network-level Power Profiling for Low-power Wireless Networks
- 2011. - 11
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Reports (other academic/artistic)abstract
- Low-power wireless networks are quickly becoming a critical part of our everyday infrastructure. Power consumption is a critical concern, but power measurement and estimation is a challenge. We present Powertrace, which to the best of our knowledge is the first system for network-level power profiling of low-power wireless systems. Powertrace uses power state tracking to estimate system power consumption and a structure called energy capsules to attribute energy consumption to activities such as packet transmissions and receptions. With Powertrace, the power consumption of a system can be broken down into individual activities which allows us to answer questions such as “How much energy is spent forwarding packets for node X?”, “How much energy is spent on control traffic and how much on critical data?”, and “How much energy does application X account for?”. Experiments show that Powertrace is accurate to 94% of the energy consumption of a device. To demonstrate the usefulness of Powertrace, we use it to experimentally analyze the power behavior of the proposed IETF standard IPv6 RPL routing protocol and a sensor network data collection protocol. Through using Powertrace, we find the highest power consumers and are able to reduce the power consumption of data collection with 24%. It is our hope that Powertrace will help the community to make empirical energy evaluation a widely used tool in the low-power wireless research community toolbox.
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| 9. |
- Dunkels, Adam, et al.
(author)
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Run-Time Dynamic Linking for Reprogramming Wireless Sensor Networks
- 2006
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In: SenSys'06: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems. - New York, NY, USA : ACM. - 9781595933430 ; , s. 15-28
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Conference paper (peer-reviewed)abstract
- From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energy, memory, and processing power make sensor network reprogramming a challenging task. Many different mechanisms for reprogramming sensor nodes have been developed ranging from full image replacement to virtual machines.We have implemented an in-situ run-time dynamic linker and loader that use the standard ELF object file format. We show that run-time dynamic linking is an effective method for reprogramming even resource constrained wireless sensor nodes. To evaluate our dynamic linking mechanism we have implemented an application-specific virtual machine and a Java virtual machine and compare the energy cost of the different linking and execution models. We measure the energy consumption and execution time overhead on real hardware to quantify the energy costs for dynamic linkin.Our results suggest that while in general the overhead of a virtual machine is high, a combination of native code and virtual machine code provide good energy efficiency. Dynamic run-time linking can be used to update the native code, even in heterogeneous networks.
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