Hybrid engine for polymorphic shellcode detection

TL;DR: In this paper, the authors present a heuristic detection method that scans network traffic streams for the presence of previously unknown polymorphic shellcode, which relies on a NIDS-embedded CPU emulator that executes every potential instruction sequence in the inspected traffic.

TL;DR: The results indicate that duplicate insertion becomes less effective on recent systems, but packet splitting, payload mutation and shellcode mutation can be still effective against them.

TL;DR: This analysis demonstrates that the proposed approach is more robust to obfuscation techniques like self-modifications compared to previous proposals, but also highlights advanced evasion techniques that need to be more closely examined towards a satisfactory solution to the polymorphic shellcode detection problem.

TL;DR: This paper presents an improved execution behavior heuristic that enables the detection of a certain class of non-self-contained polymorphic shellcodes that are currently missed by existing emulation-based approaches.

Abstract: Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.

TL;DR: In this article, the authors present an approach that accurately detects buffer overflow code in the request's payload by concentrating on the sledge of the attack, which is used to increase the chances of a successful intrusion by providing a long code segment that simply moves the program counter towards the immediately following exploit code.

TL;DR: Robots would expand the battlespace over difficult, larger areas of terrain, but they also represent a significant force-multiplier- each effectively doing the work of many human soldiers, while immune to sleep deprivation, fatigue, low morale, perceptual and communication challenges in the 'fog of war', and other performance-hindering conditions.