Matthew Pirretti
Pennsylvania State University
18 Papers
244 Citations
Matthew Pirretti is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Wireless sensor network & Sensor node. The author has an hindex of 9, co-authored 18 publications. Previous affiliations of Matthew Pirretti include Motorola & Motorola Solutions.
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Papers
Secure attribute-based systems
Matthew Pirretti,Patrick Traynor,Patrick McDaniel,Brent Waters +3 more
- 30 Oct 2006
TL;DR: A novel secure information management architecture based on emerging attribute-based encryption (ABE) primitives is introduced and a policy system that meets the needs of complex policies is defined and illustrated and cryptographic optimizations that vastly improve enforcement efficiency are proposed.
559
On the Detection of Clones in Sensor Networks Using Random Key Predistribution
Richard R. Brooks,P.Y. Govindaraju,Matthew Pirretti,N. Vijaykrishnan,Mahmut Kandemir +4 more
- 01 Nov 2007
TL;DR: This paper proposes an algorithm that a sensor network can use to detect the presence of clones and quantifies the extent of false positives and false negatives in the clone detection process.
179
Secure attribute-based systems
TL;DR: A novel secure information management architecture based on emerging attribute-based encryption (ABE) primitives is introduced and a policy system that meets the needs of complex policies is defined and illustrated, and cryptographic optimizations that vastly improve enforcement efficiency are proposed.
154
The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense
Matthew Pirretti,Sencun Zhu,Narayanan Vijaykrishnan,Patrick McDaniel,Mahmut Kandemir,Richard R. Brooks +5 more
TL;DR: This research shows how adversary nodes can exploit clustering algorithms to ensure their selection as cluster heads for the purpose of launching attacks that prevent victim nodes from sleeping, and finds that the hash-based scheme is the best at mitigating the sleep deprivation attack.
130
Password exhaustion: predicting the end of password usefulness
Luke St. Clair,Lisa Johansen,William Enck,Matthew Pirretti,Patrick Traynor,Patrick McDaniel,Trent Jaeger +6 more
- 19 Dec 2006
TL;DR: An analytical model for computation is developed to understand the time required to recover random passwords and concludes that past systems vulnerable to offline attacks will be obsolete in 5-15 years and a large number of these systems are already obsolete.