1,720,975 research outputs found
Needles in a Haystack: Mining Information from Public Dynamic Analysis Sandboxes for Malware Intelligence
Get PDFMalware sandboxes are automated dynamic analysis systems that execute programs in a controlled environment. Within the large volumes of samples submitted every day to these services, some submissions appear to be different from others, and show interesting characteristics. For example, we observed that malware samples involved in famous targeted attacks – like the Regin APT framework or the recently disclosed malwares from the Equation Group – were submitted to our sandbox months or even years before they were detected in the wild. In other cases, the malware developers themselves interact with public sandboxes to test their creations or to develop a new evasion technique. We refer to similar cases as malware developments. In this paper, we propose a novel methodology to automatically identify malware development cases from the samples submitted to a malware analysis sandbox. The results of our experiments show that, by combining dynamic and static analysis with features based on the file submission, it is possible to achieve a good accuracy in automatically identifying cases of malware development. Our goal is to raise awareness on this problem and on the importance of looking at these samples from an intelligence and threat prevention point of view
Hypervisor-based malware protection with AccessMiner
No full textIn this paper we discuss the design and implementation of AccessMiner, a system-centric behavioral malware detector. Our system is designed to model the general interactions between benign programs and the underlying operating system (OS). In this way, AccessMiner is able to capture which, and how, OS resources are used by normal applications and detect anomalous behavior in real-time. The advantage of our approach is that it does not require to be trained on malicious samples, and therefore it is able to provide a general detection solution that can be used to protect against both known and unknown malware. To make the system more resilient against tampering from sophisticated attackers, AccessMiner is implemented as a custom hypervisor that sits below the operating system. In this paper we discuss the implementation details and the technical solutions we adopted to optimize the performances and reduce the impact of the system. Our experiments show that in a stable environment AccessMiner can provide a high level of protection (around 90% detection rate with zero false positives) with an acceptable overhead - similar to the one that can be experienced in a state of the art virtual machine environment
Micro-Virtualization Memory Tracing to Detect and Prevent Spraying Attacks
No full textSpraying is a common payload delivery technique used by attackers to execute arbitrary code in presence of Address Space Layout Randomisation (ASLR). In this paper we present Graffiti, an efficient hypervisor-based memory analysis framework for the detection and prevention of spraying attacks. Compared with previous solutions, our system is the first to offer an efficient, complete, extensible, and OS independent protection against all spraying techniques known to date. We developed a prototype open source framework based on our approach, and we thoroughly evaluated it against all known variations of spraying attacks on two operating systems: Linux and Microsoft Windows. Our tool can be applied out of the box to protect any application, and its overhead can be tuned according to the application behavior and to the desired level of protection
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Thwarting real-time dynamic unpacking
No full textPacking is a very popular technique for obfuscating programs, and malware in particular. In order to successfully detect packed malware, dynamic unpacking techniques have been proposed in literature. Dynamic unpackers execute and monitor a packed program, and try to guess when the original code of the program is available unprotected in memory. The major drawback of dynamic unpackers is the performance overhead they introduce. To reduce the overhead and make it possible to perform dynamic unpacking at end-hosts, researches have proposed real-time unpackers that operate at a coarser granularity, namely OmniUnpack and Justin. In this paper, we present a simple compile-time packing algorithm that maximizes the cost of unpacking and minimizes the amount of program code that can be automatically recovered by real-time coarse grained unpackers. The evaluation shows that the real-time dynamic unpackers are totally ineffective against this algorithm
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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