Danger Theory Concepts Improving Malware Detection of Intrusion Detection Systems That Uses Exact Graphs

2015 ◽  
Author(s):  
Suhair Amer ◽  
Joshua Leonard
Keyword(s):  
Intrusion Detection ◽  
Malware Detection ◽  
Intrusion Detection Systems ◽  
Danger Theory ◽  
Detection Systems

scholarly journals Danger Theory Based Hybrid Intrusion Detection Systems for Cloud Computing

2013 ◽  
pp. 650-654 ◽  
Author(s):  
Azuan Ahmad ◽  
Bharanidharan Shanmugam ◽  
Norbik Bashah Idris ◽  
Ganthan Nayarana Samy ◽  
Sameer Hasan AlBakri
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Intrusion Detection Systems ◽  
Danger Theory ◽  
Detection Systems

Towards Building Efficient Malware Detection Engines Using Hybrid CPU/GPU-Accelerated Approaches

2014 ◽  
pp. 237-264 ◽  
Author(s):  
Ciprian Pungila ◽  
Viorel Negru
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
General Problem ◽  
Real World ◽  
Malware Detection ◽  
Intrusion Detection Systems ◽  
Malicious Software ◽  
Detection Systems ◽  
Problem Description ◽  
Hardware Architectures

This chapter presents an outline of the challenges involved in constructing efficient malware detection engines using hybrid CPU/GPU-accelerated architectures and discusses how one can overcome such challenges. Starting with a general problem description for malware detection and moving on to the algorithmic background involved for solving it, the authors present a review of the existing approaches for detecting malware and discuss how such approaches may be improved through GPU-accelerated processing. They describe and discuss several hybrid hardware architectures built for detecting malicious software and outline the particular characteristics of each, separately, followed by a debate on their performance and most suitable application in real-world environments. Finally, the authors tackle the problem of performing real-time malware detection and present the most important aspects that need to be taken into account in intrusion detection systems.

scholarly journals Smart Devices Threats, Vulnerabilities and Malware Detection Approaches: A Survey

2018 ◽  
Vol 3 (2) ◽  
pp. 7 ◽  
Author(s):  
BalaGanesh D ◽  
Amlan Chakrabarti ◽  
Divya Midhunchakkaravarthy
Keyword(s):  
Intrusion Detection ◽  
Mobile Devices ◽  
False Positive ◽  
Malware Detection ◽  
Intrusion Detection Systems ◽  
Smart Devices ◽  
True Positive ◽  
Accuracy Rate ◽  
Detection Mechanism ◽  
Detection Systems

In recent times, malware detection mechanism systems of mobile smart devices are getting growing concentration from researchers. With the quick expansion of malwares found in mobile devices, preventing the secrecy of mobile users is incredibly imperative and necessary. Intrusion detection systems are programming devices that consequently assemble information, dissect it and recognize such occurrences. These systems advanced to intrusion aversion systems (IPS) including extra counteractive action capacities.   In Intrusion detection systems, accuracy rate plays a significant role in measuring the effectiveness of an approach. One of the motivations of this study is to increase the true positive as well as reducing the false-positive rates beyond other studies.

Disadvantages of Modern Intrusion Detection Systems

2006 ◽  
Vol 65 (10) ◽  
pp. 929-936
Author(s):  
A. V. Agranovskiy ◽  
S. A. Repalov ◽  
R. A. Khadi ◽  
M. B. Yakubets
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection Systems ◽  
Detection Systems
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