Books:
G. Kesidis. Introduction to Analysis of Communication Networks. Wiley-Interscience, 2007.
G. Kesidis. ATM
Network Performance, Second Edition, Kluwer
Academic Publishers,
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Network
Games, Pricing, Incentive Engineering, including
Peer-to-Peer Networking:
P. Patankar, G. Nam, G. Kesidis, T. Konstantopoulos and C. Das. Peer-to-peer
unstructured search with learned correlations between communities of interest. In Proc.
International Teletraffic
Congress (ITC), Paris, Sept.
2009.
T. Konstantopoulos, G. Kesidis and P. Sousi, “A stochastic epidemiological model and
deterministic limit for BitTorrent-like peer-to-peer
file-sharing networks.” Workshop on Network Control and
Optimization,
G. Kesidis, G. de Veciana and A. Das, “On
flat-rate and usage-based pricing for tiered commodity Internet services",
in Proc. CISS,
Y. Jin and G. Kesidis, “Distributed contention window control for
selfish users in IEEE 802.11 wireless LANs”, IEEE JSAC special issue on
non-cooperative networks, Aug. 2007.
G. Kesidis, T. Konstantopoulos and P. Sousi, “Modeling file-sharing with BitTorrent-like incentives”, IEEE ICASSP,
Y. Jin and G. Kesidis, “Charge sensitive and incentive compatible
end-to-end window-based control for selfish users", IEEE JSAC special
issue on Network Economics and Pricing, May 2006.
B. Mortazavi and G. Kesidis, “Incentive
compatible reputation systems for P2P CDNs with rationally selfish but honest
users", Proc. IEEE CISS,
B. Mortazavi and G. Kesidis, “A
peer-to-peer content-distribution game with a reputation-based incentive
mechanism", Proc. IEEE Workshop on Information Theory and its
Applications, UC San Diego, Feb. 2006.
Y. Jin and G. Kesidis, “Dynamics of usage-priced communication
networks: the case of a single bottleneck resource," IEEE Transactions on
Networking (ToN), Oct. 2005.
Y. Jin and G. Kesidis, Equilibiria of a noncooperative game for heterogeneous users of an ALOHA network, IEEE Comm. Letters, Vol. 6, No. 7, pp. 282-284, 2002.
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Network
Security including Anti-Spam:
G. Kesidis, A. Tangpong and C. Griffin. A sybil-proof referral system based on multiplicative
reputation chains. IEEE Comm. Letters, Nov. 2009. Errata
P. Patankar, G. Nam, G. Kesidis and C. Das,
“Exploring Anti-Spam Models in Large Scale VoIP Systems", in Proc.
IEEE Int'l Conf. on Distributed Computing Systems (ICDCS),
G. Kesidis, M. Vojnovic, I. Hamadeh,
Y. Jin, S. Jiwasurat, “Model of the Spread of
Randomly Scanning Internet Worms that Saturate Access Links," ACM TOMACS,
May 2008.
S. Yi, X. Deng, G. Kesidis and C.R. Das, “A dynamic quarantine
scheme for controlling unresponsive TCP sessions," Telecommunication
Systems, 2008.
Y.-C. Jhi, L. Li, P. Liu, Q. Jin, and G.
Kesidis, “PWC: A Proactive Worm Containment Solution for
J. Wang, D.J. Miller and G. Kesidis, “New Directions in Covert Worm
Modeling Exploiting White-Listing" in Proc. IEEE Sarnoff Symposium on
Communications, March 2007.
J. Wang, D.J. Miller, and G. Kesidis, “Efficient Mining
of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization,
and Modeling," IEEE JSAC special issue on High-Speed Network Security,
2006.
L. Li, P. Liu and G. Kesidis, “Visual Studio for Network Security
Experiment Specification and Data Analysis,” in Proc. ACM Workshop on
Visualization for Computer Security (VizSec), Nov. 3
2006.
J. Wang, I. Hamadeh, D.J. Miller and G.
Kesidis, “Polymorphic Worm Detection and Defense: System Design,
Experimental Methodology, and Data Resources", in Proc. ACM SIGCOMM
Workshop on Large-Scale Attack Defense (LSAD),
I. Hamadeh. Attack
Attribution for Distributed Denial-of-Service and Worm Attacks. Ph.D. Thesis, CSE Dept,
G. Carl, R. Brooks,
N. Weaver, I. Hamadeh,
G. Kesidis and V. Paxson, “Preliminary results
using scale-down to explore worm dynamics”, in Proc. ACM WORM,
See also
“discrete packet dropping” in the wireless networking topic section
below.
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Traffic
Engineering including Traffic Shaping, Scheduling and Effective Bandwidths:
S. Jiwasurat, G. Kesidis and D.J. Miller,
“Hierarchical Shaped Deficit Round-Robin (HSDRR) Scheduling", in
Proc. IEEE GLOBECOM,
S. Yi, X. Deng, G. Kesidis and C.
Das, HaTCh: A Two-level Caching Scheme for Estimating the Number
of Active Flows, in Proc. IEEE CDC,
G. Kesidis and L. Tassiulas, Traffic Shaping for a Loss System , IEEE Communication Letters , Dec. 2000, pp. 417-419.
G. Kesidis and T. Konstantopoulos, Extremal Traffic and Worst-Case Performance for Queues with Shaped Arrivals , Analysis of Communication Networks: Call Centres, Traffic and Performance, edited by D.R. McDonald and S.R.E. Turner, Fields Institute Communications/AMS, 2000, ISBN 0-8218-1991-7. Originally presented at the Fields Institute, U. Toronto, Nov. 9-13, 1998, also IEEE T.Comm. paper in 1998 and IEEE Comm. Let. Paper in 2000.
G. de Veciana and G. Kesidis, "Bandwidth Allocation for Multiple Qualities of Service using Generalized Processor Sharing", IEEE Trans. Information Theory, Vol. 42, No. 1, Jan. 1996, pp. 268-271.
A. Hung and G. Kesidis, Bandwidth Scheduling for Wide-Area ATM Networks Using Virtual Finishing Times, IEEE/ACM Trans. Networking, Vol. 4, No. 1, pp. 49-54, Feb. 1996.
G. Kesidis, T. Konstantopoulos and M. Zazanis, Sensitivity Analysis for Discrete-Time Randomized Service Priority Queues, Proc. IEEE CDC'94, Orlando, FL., pp. 2627-2630, Dec 1994.
G. Kesidis, J. Walrand and C.-S. Chang, Effective Bandwidths for Multiclass Markov Fluids and Other ATM Sources, IEEE/ACM Trans. Networking, Vol. 1, No. 4, pp. 424-428, 1993.
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Performance
Evaluation including Simulation:
G. Carl and G. Kesidis. “Large-scale testing of
the Internet’s Border Gateway Protocol via Topological Scale-Down”,
ACM TOMACS, July 2008.
I. Hamadeh, J. Hart, G. Kesidis and V. Pothamsetty, “A preliminary simulation of the effect
of scanning worm activity on multicast”, in Proc. IEEE PADS,
N. Milidrag,
G. Kesidis and M. Devetsikiotis, An overview of
fluid-based quick simulation techniques for large packet-switched communication
networks, in Proc. SPIE ITCom,
G. Kesidis, A. Singh, D. Cheung and W.W. Kwok, Feasibility of Fluid Event-Driven Simulation for ATM Networks, in Proc. IEEE Globecom, London , Nov. 1996.
G. Kesidis and A. Singh, An Overview of
Cell-Level ATM Network Simulation, in Proc. ACM HPCS,
G. Kesidis and J. Walrand, Quick Simulation of ATM Buffers with On-off Multiclass Markov Fluid Sources, ACM TOMACS, Vol. 3, No. 3, pp. 267-276, July 1993.
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Wireless
Networking including Mobility issues:
A. Neishaboori and G. Kesidis, “Wireless
Mesh Networks Based on CDMA", Computer Communications special issue on
WMNs, vol. 31, 2008.
A. Das, V. Pothamsetty and G. Kesidis,
``Assessing discreet packet-dropping attacks using nearest-neighbor and
path-vector attribution", in Proc. IEEE BROADNETS (Symposium on Wireless
Networking), Raleigh, NC, Sept. 2007.
R.N. Rao. Purposeful mobility and capacity issues in sensor networks.
Ph.D. thesis, EE Dept,
P.B. Jeon. A pheromone-aided multipath QoS routing
protocol and its application in MANETs. Ph.D. thesis, EE Dept,
G. Kesidis, T. Konstantopoulos
and S. Phoha, Surveillance coverage
of sensor networks under a random mobility strategy , in Proc.
IEEE Sensors,
V. Bhatnagar and G. Kesidis, Bluetooth scatternet formation , in Proc. joint 2nd IEEE International Conference on Networking and IEEE International Conference on Wireless LANs and Home Networks (ICN'02 and ICWLHN'02), Atlanta, August 26-29, 2002.
A. Hung, M-J Montpetit, and G. Kesidis, ATM via Satellite: A Framework and Implementation, ACM Wireless Networks, Vol. 4, No. 2, Feb. 1998, pp. 141-154.
See also Network Security and
Incentive Engineering topic sections above.
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Machine
Learning, Optimization including Applications to Medicine:
G. Kesidis. A Quantum Diffusion Network. Technical Report, Aug. 2009: http://arxiv1.library.cornell.edu/abs/0908.1597
D.J. Miller, C.-F. Lin, G. Kesidis and C.
Collins. Semi-supervised mixture modeling with
fine-grained component-conditional class labeling and transductive
inference. maximum entropy modeling for
regression. In Proc. IEEE Machine
Learning in Signal Processing (MLSP), Grenoble, France, Sept. 2009. (best paper award)
Y. Zhang, D.J. Miller and G. Kesidis. Hierarchical
maximum entropy modeling for regression. In Proc. IEEE Machine Learning in Signal Processing (MLSP), Grenoble,
France, Sept. 2009.
Y. Zhang, Y. Aksu, G. Kesidis and D.J. Miller,
“SVM feature-selection applications to microarray data”, in Proc. IEEE Workshop on Machine
Learning in Signal Processing (MLSP), Cancun, Mexico, Oct. 2008.
Y. Aksu, D.J. Miller and G. Kesidis,
“Margin-based feature selection techniques for support vector machine
classification”, in Proc. Cognitive Information Processing (CIP), Santorini, June 2008.
D.J. Miller, Y. Zhang, and G. Kesidis, “A Transductive
Extension of Maximum Entropy/Iterative Scaling for Decision Aggregation in
Distributed Classification", in Proc. IEEE ICASSP,
D.J. Miller, Y. Wang and G. Kesidis,
“Emergent unsupervised clustering paradigms with potential applications
to bioinformatics”, Frontiers in Bioscience, Jan. 2008.
Y. Aksu, G. Kesidis and D.J. Miller,
“Efficient, step-wise optimal feature elimination in support vector
machines for huge features spaces”, in Proc. IEEE MLSP, Thessaloniki,
Greece, Aug. 2007.
G. Kesidis and J. Walrand, Relative Entropy Between Markov Transition Rate Matrices , IEEE Trans. Info. Th., Vol. 39, No. 3, pp. 1056-1057, May 1993.
G. Kesidis, Analog Optimization with Wong's Stochastic Neural Network, IEEE Trans. Neural Networks, Vol. 6, No. 1, pp. 258-260, 1995.
G. Kesidis and E. Wong, Optimal Acceptance Probability for Simulated Annealing, Stochastics and Stochastics Reports, Vol. 29, pp. 221-226, 1990. Errata