PROCEEDINGS VOLUME 10630
SPIE DEFENSE + SECURITY | 15-19 APRIL 2018
Cyber Sensing 2018
Proceedings Volume 10630 is from: Logo
SPIE DEFENSE + SECURITY
15-19 April 2018
Orlando, Florida, United States
Front Matter: Volume 10630
Proc. SPIE 10630, Front Matter: Volume 10630, 1063001 (11 June 2018); doi: 10.1117/12.2322396
Cyber Security Framework
Proc. SPIE 10630, Implementations of moving target defense (Conference Presentation), 1063002 (14 May 2018); doi: 10.1117/12.2303837
Proc. SPIE 10630, The growing threat of cybersecurity attacks in sports, 1063003 (3 May 2018); doi: 10.1117/12.2303840
Proc. SPIE 10630, Security tag computation and propagation in OSFA, 1063004 (3 May 2018); doi: 10.1117/12.2302991
Analog Domain and Cyber Security I
Proc. SPIE 10630, Detailed tracking of program control flow using analog side-channel signals: a promise for IoT malware detection and a threat for many cryptographic implementations, 1063005 (3 May 2018); doi: 10.1117/12.2304382
Proc. SPIE 10630, Deep learning-based classification and anomaly detection of side-channel signals, 1063006 (15 May 2018); doi: 10.1117/12.2311329
Proc. SPIE 10630, Overhead analysis of the utilization of hardware assisted virtualization for protecting guest operating system applications, 1063007 (3 May 2018); doi: 10.1117/12.2303825
Analog Domain and Cyber Security II
Proc. SPIE 10630, Block-level algorithm classification based on RF side-channel, 1063008 (3 May 2018); doi: 10.1117/12.2303847
Proc. SPIE 10630, Register Hamming distance from side channels, 1063009 (3 May 2018); doi: 10.1117/12.2304449
Proc. SPIE 10630, Exploiting side-channel emissions to detect changes in FPGA firmware, 106300A (3 May 2018); doi: 10.1117/12.2304450
Proc. SPIE 10630, Classification of low-SNR side channels, 106300B (3 May 2018); doi: 10.1117/12.2304461
Proc. SPIE 10630, Generalization of algorithm recognition in RF side channels between devices, 106300C (3 May 2018); doi: 10.1117/12.2304468
Analog Domain and Cyber Security III
Proc. SPIE 10630, Utilizing electromagnetic emanations for out-of-band detection of unknown attack code in a programmable logic controller, 106300D (3 May 2018); doi: 10.1117/12.2304465
Proc. SPIE 10630, Preliminary classification results of RF emission based feature extraction in Internet of Things devices , 106300E (3 May 2018); doi: 10.1117/12.2311606
Proc. SPIE 10630, A graph-theoretic understanding of network-wide implications of local cyber protections for mission assurance, 106300G (3 May 2018); doi: 10.1117/12.2305957
Proc. SPIE 10630, Lightweight hardware monitoring of IoT devices, 106300H (3 May 2018); doi: 10.1117/12.2305254
Proc. SPIE 10630, Control flow graph modifications for improved RF-based processor tracking performance, 106300I (3 May 2018); doi: 10.1117/12.2316361
Cyber Sensing Phenomenology
Proc. SPIE 10630, A mixed numeric and analytic method for investigating OAM beam scattering in turbid water, 106300J (3 May 2018); doi: 10.1117/12.2314597
Proc. SPIE 10630, Comparison of error in two passive phase localization algorithms, 106300M (3 May 2018); doi: 10.1117/12.2315307
Machine Learning and Cyber Sensing
Proc. SPIE 10630, Track generation in semi-supervised learning of self-structured algorithm using noisy and sparse, visual, and infrared data, 106300N (15 May 2018); doi: 10.1117/12.2311611
Proc. SPIE 10630, Similarity measures for target tracking with aerial images, 106300O (15 May 2018); doi: 10.1117/12.2310001
Proc. SPIE 10630, Wavelet decomposition to reduce clutter for SAR object classification using deep neural networks (Conference Presentation), 106300P (14 May 2018); doi: 10.1117/12.2304470
Proc. SPIE 10630, Understanding adversarial attack and defense towards deep compressed neural networks, 106300Q (3 May 2018); doi: 10.1117/12.2305226
Networks and Cyber Sensing
Proc. SPIE 10630, Development and implementation of VoIP honeypots with wide range of analysis, 106300S (3 May 2018); doi: 10.1117/12.2304602
Proc. SPIE 10630, Identifying and detecting applications within TLS traffic, 106300U (3 May 2018); doi: 10.1117/12.2305256
Proc. SPIE 10630, CASPER: an efficient approach to detect anomalous code execution from unintended electronic device emissions, 106300V (15 May 2018); doi: 10.1117/12.2500234
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