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Tzi-cker Chiueh

Researcher at Stony Brook University

Publications -  240
Citations -  10151

Tzi-cker Chiueh is an academic researcher from Stony Brook University. The author has contributed to research in topics: Wireless network & Local area network. The author has an hindex of 44, co-authored 240 publications receiving 9977 citations. Previous affiliations of Tzi-cker Chiueh include State University of New York System & Symantec.

Papers
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Proceedings ArticleDOI

Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network

TL;DR: It is shown that intelligent channel assignment is critical to Hyacinth's performance, and distributed algorithms that utilize only local traffic load information to dynamically assign channels and to route packets are presented, and their performance is compared against a centralized algorithm that performs the same functions.
Journal ArticleDOI

Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks

TL;DR: A detailed performance evaluation shows that with intelligent channel and bandwidth assignment, equipping every wireless mesh network node with just 2 NICs operating on different channels can increase the total network goodput by a factor of up to 8 compared with the conventional single-channel ad hoc network architecture.
Proceedings ArticleDOI

Large-scale malware indexing using function-call graphs

TL;DR: An efficient method to compute graph similarity that exploits structural and instruction-level information in the underlying malware programs, and a multi-resolution indexing scheme that uses a computationally economical feature vector for early pruning and resorts to a more accurate but computationally more expensive graph similarity function only when it needs to pinpoint the most similar neighbors.
Proceedings ArticleDOI

RAD: a compile-time solution to buffer overflow attacks

TL;DR: This paper presents a compiler-based solution to the notorious buffer overflow attack problem, a taxonomy of defense methods, the implementation details of RAD, and the performance analysis of the RAD prototype.
Book ChapterDOI

Automatic Generation of String Signatures for Malware Detection

TL;DR: Hancock is the first string signature generation system that takes on this challenge on a large scale and features a scalable model that estimates the occurrence probability of arbitrary byte sequences in goodware programs, a set of library code identification techniques, and diversity-based heuristics that ensure the contexts in which a signature is embedded in containing malware files are similar to one another.