Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Haider Adnan Khan"'
Publikováno v:
Journal of Hardware and Systems Security. 3:305-318
We propose a novel malware detection system for critical embedded and cyber-physical systems (CPS). The system exploits electromagnetic (EM) side-channel signals from the device to detect malicious activity. During training, the system models EM eman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e011f5d3c99c9e7f2259398f297d30e6
https://doi.org/10.1007/s41635-019-00074-w
https://doi.org/10.1007/s41635-019-00074-w
Autor:
Haider Adnan Khan, Mainul Haque, Abdullah Al Helal, Khawza I. Ahmed, Abu Sayeed Ahsanul Huque
Publikováno v:
Signal and Image Processing Letters. 1:1-10
This paper evaluates and compares the performance of K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Sparse Representation Classifier (SRC) for recognition of isolated Arabic handwritten characters. The proposed framework converts the gra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a2d61d80cf2541f89f91df9bd15a785
https://doi.org/10.31763/simple.v1i2.1
https://doi.org/10.31763/simple.v1i2.1
Publikováno v:
MICRO
Establishing trust for an execution environment is an important problem, and practical solutions for it rely on attestation, where an untrusted system (prover) computes a response to a challenge sent by the trusted system (verifier). The response typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f545427fadcb274cdbd71fd51041e65
https://doi.org/10.1145/3352460.3358261
https://doi.org/10.1145/3352460.3358261
Autor:
Sunjae Park, Haider Adnan Khan, Alenka Zajic, Richard L. Rutledge, Alessandro Orso, Milos Prvulovic
Publikováno v:
ICSE
In previous work, we introduced zero-overhead profiling (ZOP), a technique that leverages the electromagnetic emissions generated by the computer hardware to profile a program without instrumenting it. Although effective, ZOP has several shortcomings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ea55d340007c6a896f2765cb61d0721
https://doi.org/10.1109/icse.2019.00039
https://doi.org/10.1109/icse.2019.00039
Publikováno v:
Cyber Sensing 2018.
Side-channel signals have long been used in cryptanalysis, and recently they have also been utilized as a way to monitor program execution without involving the monitored system in its own monitoring. Both of these use-cases for side-channel analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6c76c8cd95d02e50fe5d689fc5ad5b
https://doi.org/10.1117/12.2304382
https://doi.org/10.1117/12.2304382
Autor:
Haider Adnan Khan, S. M. Lutful Kabir, Abduallh Al Helal, Khan A. Wahid, M. A. Mukit, Raqibul Mostafa
Publikováno v:
2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec).
Wireless Capsule Endoscopy (WCE) has emerged as a popular non-invasive imaging tool for inspection of human Gastrointestinal (GI) tract. In order to identify the location of an anomaly or intestinal disease, the physicians need to know the exact loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f98059ba6e0938b55d90742e3c1d43b
https://doi.org/10.1109/meditec.2016.7835361
https://doi.org/10.1109/meditec.2016.7835361
Publikováno v:
2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).
We present a novel approach for abnormal breast mass classification from digitized mammography images. The proposed framework exploits rotation invariant uniform Local Binary Pattern (LBP) as texture feature. These features are classified using Suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::319b8ff8126ecb8ca08076bbe618a1a8
https://doi.org/10.1109/ceeict.2016.7873083
https://doi.org/10.1109/ceeict.2016.7873083
Autor:
Tasnuva Hassan, Haider Adnan Khan
Publikováno v:
2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).
Local Binary Pattern (LBP) is a simple yet robust texture descriptor that has been widely used in many computer vision applications including face recognition. In this paper, we exploit LBP for handwritten Bangla numeral recognition. We classify Bang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14e30717cae9e31dc9161fe42e4ae6ce
https://doi.org/10.1109/iceeict.2015.7307371
https://doi.org/10.1109/iceeict.2015.7307371
Publikováno v:
2014 International Conference on Informatics, Electronics & Vision (ICIEV).
We present a framework for handwritten Bangla digit recognition using Sparse Representation Classifier. The classifier assumes that a test sample can be represented as a linear combination of the train samples from its native class. Hence, a test sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c41c99c913c6e5ae4587361117cd4c7e
https://doi.org/10.1109/iciev.2014.6850817
https://doi.org/10.1109/iciev.2014.6850817
Autor:
Anisuzzaman, Khawza I. Ahmed, Haider Adnan Khan, Abu Aeioub Ansary, M. Raquib Ehsan, Rafiur Rahman Chowdhury
Publikováno v:
2013 2nd International Conference on Advances in Electrical Engineering (ICAEE).
Elastography is a promising technique for detection and classification of abnormal growth and tumors in soft tissues. In this paper we propose a simple yet effective optimization to speed up the time-domain indirect strain estimation. The proposed me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5449bae0c446aecda113af75930ff241
https://doi.org/10.1109/icaee.2013.6750343
https://doi.org/10.1109/icaee.2013.6750343