224,378 research outputs found
Automating the Construction of Jet Observables with Machine Learning
Machine-learning assisted jet substructure tagging techniques have the
potential to significantly improve searches for new particles and Standard
Model measurements in hadronic final states. Techniques with simple analytic
forms are particularly useful for establishing robustness and gaining physical
insight. We introduce a procedure to automate the construction of a large class
of observables that are chosen to completely specify -body phase space. The
procedure is validated on the task of distinguishing
from , where and previous brute-force approaches
to construct an optimal product observable for the -body phase space have
established the baseline performance. We then use the new method to design
tailored observables for the boosted search, where and brute-force
methods are intractable. The new classifiers outperform standard -prong
tagging observables, illustrating the power of the new optimization method for
improving searches and measurement at the LHC and beyond.Comment: 15 pages, 8 tables, 12 figure
KALwEN: a new practical and interoperable key management scheme for body sensor networks
Key management is the pillar of a security architecture. Body sensor networks (BSNs) pose several challenges–some inherited from wireless sensor networks (WSNs), some unique to themselves–that require a new key management scheme to be tailor-made. The challenge is taken on, and the result is KALwEN, a new parameterized key management scheme that combines the best-suited cryptographic techniques in a seamless framework. KALwEN is user-friendly in the sense that it requires no expert knowledge of a user, and instead only requires a user to follow a simple set of instructions when bootstrapping or extending a network. One of KALwEN's key features is that it allows sensor devices from different manufacturers, which expectedly do not have any pre-shared secret, to establish secure communications with each other. KALwEN is decentralized, such that it does not rely on the availability of a local processing unit (LPU). KALwEN supports secure global broadcast, local broadcast, and local (neighbor-to-neighbor) unicast, while preserving past key secrecy and future key secrecy (FKS). The fact that the cryptographic protocols of KALwEN have been formally verified also makes a convincing case. With both formal verification and experimental evaluation, our results should appeal to theorists and practitioners alike
KALwEN: A New Practical and Interoperable Key Management Scheme for Body Sensor Networks
Key management is the pillar of a security architecture. Body sensor networks(BSNs) pose several challenges -- some inherited from wireless sensor networks(WSNs), some unique to themselves -- that require a new key management scheme to be tailor-made. The challenge is taken on, and the result is KALwEN, a new lightweight scheme that combines the best-suited cryptographic techniques in a seamless framework. KALwEN is user-friendly in the sense that it requires no expert knowledge of a user, and instead only requires a user to follow a simple set of instructions when bootstrapping or extending a network. One of KALwEN's key features is that it allows sensor devices from different manufacturers, which expectedly do not have any pre-shared secret, to establish secure communications with each other. KALwEN is decentralized, such that it does not rely on the availability of a local processing unit (LPU). KALwEN supports global broadcast, local broadcast and neighbor-to-neighbor unicast, while preserving past key secrecry and future key secrecy. The fact that the cryptographic protocols of KALwEN have been formally verified also makes a convincing case
- …