Malware is a software which is designed with an intent to damage a network or computer resources. Today, the emergence of malware is on boom letting the researchers develop novel techniques to protect computers and ne...Malware is a software which is designed with an intent to damage a network or computer resources. Today, the emergence of malware is on boom letting the researchers develop novel techniques to protect computers and networks. The three major techniques used for malware detection are heuristic, signature-based, and behavior based. Among these, the most prevalent is the heuristic based malware detection. Hidden Markov Model is the most efficient technique for malware detection. In this paper, we present the Hidden Markov Model as a cutting edge malware detection tool and a comprehensive review of different studies that employ HMM as a detection tool.展开更多
In a study published in the current issue of the Journal of Geriatric Cardiology, Ang and co-investigators used the highresolution 64-slice CT coronary angiography to detect coronary lesions in a group of patients... In a study published in the current issue of the Journal of Geriatric Cardiology, Ang and co-investigators used the highresolution 64-slice CT coronary angiography to detect coronary lesions in a group of patients with atypical angina.1 The clinical data of these patients were also used to calculate their risk according the Framingham and PROCAM scoring system.2,3 As the cohort is composed with a majority of low risk patients with atypical angina, only a small minority of the patients were classified as having medium and high risk. The results showed that MDCT uncovered 18% either significant lesions (＞50% stenosis) or calcifications (＞400Agatston units)in the low risk patients and 33% in the medium and high risk subgroups.……展开更多
文摘Malware is a software which is designed with an intent to damage a network or computer resources. Today, the emergence of malware is on boom letting the researchers develop novel techniques to protect computers and networks. The three major techniques used for malware detection are heuristic, signature-based, and behavior based. Among these, the most prevalent is the heuristic based malware detection. Hidden Markov Model is the most efficient technique for malware detection. In this paper, we present the Hidden Markov Model as a cutting edge malware detection tool and a comprehensive review of different studies that employ HMM as a detection tool.
文摘 In a study published in the current issue of the Journal of Geriatric Cardiology, Ang and co-investigators used the highresolution 64-slice CT coronary angiography to detect coronary lesions in a group of patients with atypical angina.1 The clinical data of these patients were also used to calculate their risk according the Framingham and PROCAM scoring system.2,3 As the cohort is composed with a majority of low risk patients with atypical angina, only a small minority of the patients were classified as having medium and high risk. The results showed that MDCT uncovered 18% either significant lesions (＞50% stenosis) or calcifications (＞400Agatston units)in the low risk patients and 33% in the medium and high risk subgroups.……
