Abstract. Malware detection and prevention is critical for the protection of computing systems across the Internet. The problem in detecting malware is that they evolve over a period of time and hence, traditional signature-based malware detectors fail to detect obfuscated and previously unseen malware executables. However, as malware evolves, some semantics of the original malware are preserved as these semantics are necessary for the effectiveness of the malware. Using this observation, we present a novel method for detection of malware using the correlation between the semantics of the malware and its API calls. We construct a base signature for an entire malware class rather than for a single specimen of malware. Such a signature is capable of detecting even unknown and advanced variants that belong to that class. We demonstrate our approach on some well known malware classes and show that any advanced variant of the malware class is detected from the base signature.
Engineering curricula in the next millennium will be guided by outcome assessments. ABET Engineering criteria 2000 establishes 11 proficiencies. Which attributes are more important? This study focuses on determining the critical attributes from supervisors of Stevens Institute of Technology engineering graduates in the last 3 years (1994, 1995, and 1996) in order to better determine the industry skill set required of recent alumni. The most important attributes, in order of priority, were problem solving, ability to design and conduct experiments, recognition of the need to engage in lifelong learning, understanding of professional and ethical responsibility and an ability to function on multidisciplinary teams. Of less importance were depth and breath of engineering science indicating that the new curriculums will need to emphasize the "softer skills." Recent graduates attribute prioritization were nearly identical to their supervisors which further reinforces the relative importance of the attributes previously indicated. I. Introduction The new ABET criteria uses outcome assessment and indicates that graduates from engineering programs should demonstrate proficiencies in 11 critical areas 1. While there is general agreement that these are the critical attributes necessary for engineering graduates there is no consensus as to which of the attributes are more important and should be stressed in an undergraduate program. The most important proficiencies need to be prioritized so that human and financial resources, new and revised curriculum may be structured to focus on the most important areas. An assessment done at Arizona State University 2 found that the top five attributes, in terms of relative importance, by 17 industry representatives were problem solving, communication skills, ethics and professionalism, open mindiness and positive attitude, and math and science proficiency. Industry representatives were from companies that employ new engineering graduates. Their function within their company was not discussed. A similar assessment done at Auburn University 3 found that the top five attributes, in terms of relative importance, by 298 industry representatives were the ability to learn on one's own, technical knowledge in a major engineering discipline, written communication skills, oral communication skills and experience with software to solve practical problems. Industry representatives were chosen from companies which place position announcements at Auburn or participate in the engineering cooperative education program. Thirty-six percent of the respondents were from human resource functions.
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