Energy attacks and defense techniques for wireless systems

Wei, Sheng; Ahnn, Jong Hoon; Potkonjak, Miodrag

doi:10.1145/2462096.2462127

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…The vampire attacks are very difficult to detect and they basically deplete the resources by continuously repeating the corrupted data or choosing the longer path for the routing data [8]. On the other hand, a hardware based energy attack, hardware trojans, studied in [29] where it is showed that a huge energy depletion may occur by embedding a hardware trojan trigger to the integrated circuit.…”

Section: A Earlier Workmentioning

confidence: 99%

Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation

Gelenbe

Kadioglu

2018

2018 IEEE International Conference on Communications Workshops (ICC Workshops)

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In the Internet of Things (IoT), a simple form of attack can deplete the energy available to operate the sensor nodes. Some of these nodes may use batteries, while others may harvest ambient energy such as photovoltaic, or electromagnetic, or vibration based energy. We first briefly survey the types of attacks which aim at the nodes' energy provisioning systems. This paper analyses the effect of such attacks on the energy lifetime of a wireless node. Then we provide models to estimate the effect of attacks that attempt to deplete the node's energy supply, both for a node that uses energy harvesting. We then examine a simple means of attack mitigation based on dropping both attack and "good" traffic. For nodes that use energy harvesting, we compute the fraction of traffic that must be dropped so as to offer a desired "energy life-time" of the node. We see that the required traffic drop rate depends in a non-linear manner on the nominal "good traffic rate" at which the node is expected to operate. Finally, we analyse the impact of attacks on the energy lifetime of a node that operates with a replaceable battery.

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Section: A Earlier Workmentioning

confidence: 99%

Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation

Gelenbe

Kadioglu

2018

2018 IEEE International Conference on Communications Workshops (ICC Workshops)

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“…Specifically, distributed sensing raises the importance of sensor security to an even higher level [1][2] [3][4] [5]. It is important for the sensor user to verify that the remotely received data is actually from the trusted sensors in the distributed system.…”

Section: Introductionmentioning

confidence: 99%

Lightweight digital hardware random number generators

Potkonjak

2013

2013 Ieee Sensors

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Abstract-Random Number Generator (RNG) plays an essential role in many sensor network systems and applications, such as security and robust communication. We have developed the first digital hardware random number generator (DHRNG). DHRNG has a small footprint and requires ultra-low energy. It uses a new recursive structure that directly targets efficient FPGA implementation. The core idea is to place or extract random values in FPGA configuration bits and randomly connect the building blocks. We present our architecture, introduce accompanying protocols for secure public key communication, and adopt the NIST randomness test on the DHRNG's output stream.

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Malicious circuitry detection using fast timing characterization via test points

Wei

Potkonjak

2013

2013 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST)

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Abstract-We develop a region-based timing characterization approach to detect hardware Trojans (HTs) on integrated circuits (ICs). In order to ensure the scalability of the approach, we partition the target IC into well-formed and non-overlapping regions and detect hardware Trojans on all circuit locations by examining the timing properties of the transistor paths. Based on the circuit partition, we insert a minimal number of test points that provide additional observation interfaces for the delay measurements of all circuit locations. Our evaluations on ISCAS and ITC benchmarks show that the region-based Trojan detection via test points can detect hardware Trojans accurately with well controlled area overhead and test time.

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Energy attacks and defense techniques for wireless systems

Cited by 6 publications

References 37 publications

Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation

Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation

Lightweight digital hardware random number generators

Malicious circuitry detection using fast timing characterization via test points

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