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Deepinder P. Sidhu

Researcher at University of Maryland, Baltimore County

Publications -  18
Citations -  176

Deepinder P. Sidhu is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Encryption & Finite-state machine. The author has an hindex of 8, co-authored 18 publications receiving 173 citations. Previous affiliations of Deepinder P. Sidhu include Iowa State University & University of Maryland, Baltimore.

Papers
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Journal ArticleDOI

Comparative analysis of path computation techniques for MPLS traffic engineering

TL;DR: This paper proposes two TE path selection algorithms that consider the application's delay-bandwidth requirements as well as the TE constraints on the network and presents results that show that by considering these additional constraints, improvement is achieved in terms of reduction in request blocking probability, reduction in network costs and load distribution.
Proceedings ArticleDOI

Initialization vector attacks on the IPsec protocol suite

TL;DR: It is shown that IV attacks can be a serious threat for IPsec if IPsec is not used carefully, and the defense methods against these attacks are discussed.
Journal ArticleDOI

Authentication protocols for computer networks: I

TL;DR: In this paper, the authors apply state machine modeling and analysis techniques to determine important properties of encryption-based protocols including completeness, deadlock freeness, livelock or tempo-blocking freenness, termination, boundedness, and absence of non-executable interactions.
Journal ArticleDOI

Analysis of Routing and Wavelength Assignment in Large WDM Networks

TL;DR: Analysis of proposed RWA algorithms in large WDM networks using simulations and analysis of randomly generated large networks under dynamic traffic and static traffic, finds that the fixed alternate routing packs connection requests into less number of wavelengths than the fixed routing and that most-used wavelength assignment heuristic performs slightly better than the first-fit wavelength assignmentHeuristic.
Journal ArticleDOI

Probabilistic optimization techniques for multicast key management

TL;DR: Simulation results show that these algorithms can reduce the cost of multicast key management significantly, depending on the amount of variation in the rekey characteristics of the group members.