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Retrieved Entries: 7 [ยป Advanced search reports]

2017

  1. Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B.S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, and Lawrence Peterson ,
    “Detection and Localization of Image Forgeries using Resampling Features and Deep Learning”,
    IEEE CVPR Workshop on Media Forensics, Hawaii, Jul. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling features and deep lear ... more

2016

  1. Lakshmanan Nataraj, B.S. Manjunath,
    “SPAM: Signal Processing to Analyze Malware”,
    IEEE Signal Processing Magazine, vol. 33, no. 2, pp. 105-117, Mar. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this article, we explored orthogonal methods to analyze malware motivated by signal and image processing. Malware samples are represented as images or signals. Image and signal-based features are e ... more

2015

  1. Lakshmanan Nataraj,
    “A Signal Processing Approach to Malware Analysis”,
    Dec. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: There is an alarming increase in the amount of malware that is generated today. Several studies have shown that most of these new malware are just variants of existing ones. In this research we focus ... more
  2. Lakshmanan Nataraj, S Karthikeyan, B.S. Manjunath,
    “SATTVA: SpArsiTy inspired classificaTion of malware VAriants”,
    ACM Workshop on Information Hiding and Multimedia Security (IH and MMSEC), Portland, Oregon, Jun. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: There is an alarming increase in the amount of malware that is generated today. However, several studies have shown that most of these new malware are just variants of existing ones. Fast detection of ... more

2013

  1. Dhilung Kirat, Lakshmanan Nataraj, Giovanni Vigna and B.S. Manjunath,
    “SigMal: A Static Signal Processing Based Malware Triage”,
    Annual Computer Security Applications Conference (ACSAC), Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this work, we propose SigMal, a fast and precise malware detection framework based on signal processing techniques. SigMal is designed to operate with systems that process large amounts of binary s ... more

2011

  1. Lakshmanan Nataraj, Vinod Yegneswaran, Phil Porras, Jian Zhang,
    “A Comparative Assessment of Malware Classification using Binary Texture Analysis and Dynamic Analysis”,
    Workshop on Artificial Intelligence and Security (AISec), Chicago, Oct. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: AI techniques play an important role in automated malware classification. Several machine-learning methods have been applied to classify or cluster malware into families, based on different features d ... more
  2. Lakshmanan Nataraj, S. Karthikeyan, Gregoire Jacob, B.S. Manjunath,
    “Malware Images: Visualization and Automatic Classification”,
    International Symposium on Visualization for Cyber Security (VizSec) , Jul. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a simple yet effective method for visualizing and classifying malware using image processing techniques. Malware binaries are visualized as gray-scale images, with the observation that for ... more