NewApproach for Detecting Unknown Malicious Executables

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

NewApproach for Detecting Unknown Malicious Executables

Detection of malicious executables that are known beforehand is usually performed using signature-based techniques. These techniques typically rely on the prior explicit knowledge of the malicious executable code, which is in turn is represented by one or more signatures or rules that are stored in a database. The database is frequently updated with new signatures, based on new observations. Th...

متن کامل

Using Fuzzy Pattern Recognition to Detect Unknown Malicious Executables Code

An intelligent detect system to recognition unknown computer virus is proposed. Using the method based on fuzzy pattern recognition algorithm, a malicious executable code detection network model is designed also. This model target at Win32 binary viruses on Intel IA32 architectures. It could detect known and unknown malicious code by analyzing their behavior. We gathered 423 benign and 209 mali...

متن کامل

Unknown Malicious Executables Detection Based on Immune Principles

Detecting unknown malicious executables is a challenging task. Traditional anti-virus systems use signatures to detect malicious executables. However, the method cannot detect unseen instances or variants. Inspired by biological immune systems, an immune-based approach for detection of unknown malicious executables is proposed in this paper, which is referred to MEDMI. The approach can use the ...

متن کامل

ELF-Miner: Using Structural Knowledge and Data Mining for Detecting Linux Malicious Executables

Linux malware can pose a significant threat – its (Linux) penetration is exponentially increasing – because little is known or understood about its vulnerabilities. We believe that now is the right time to devise non-signature based zero-day (previously unknown) malware detection strategies before Linux intruders take us by surprise. Therefore, in this paper, we first do a forensic analysis of ...

متن کامل

Statistical Detection of Malicious PE-Executables for Fast Offline Analysis

While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related effort and the quantity of files. Based on existing work from [1] and [2] we analyse an approach towards statistical malware detection of PE executables. One benefit is its simplicity (evaluating 23 static features wi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Forensic Research

سال: 2010

ISSN: 2157-7145

DOI: 10.4172/2157-7145.1000112