Attack Graph Analysis for Network Anti-Forensics

نویسندگان

  • Rahul Chandran
  • Wei Qi Yan
چکیده

The development of technology in computer networks has boosted the percentage of cyber-attacks today. Hackers are now able to penetrate even the strongest IDS and firewalls. With the help of anti-forensic techniques, attackers defend themselves, from being tracked by destroying and distorting evidences. To detect and prevent network attacks, the main modus of operandi in network forensics is the successful implementation and analysis of attack graph from gathered evidences. This paper conveys the main concepts of attack graphs, requirements for modeling and implementation of graphs. It also contributes the aspect of incorporation of anti-forensic techniques in attack graph which will help in analysis of the diverse possibilities of attack path deviations and thus aids in recommendation of various defense strategies for better security. To the best of our knowledge, this is the first time network anti-forensics has been fully discussed and the attack graphs are employed to analyze the network attacks. The experimental analysis of anti-forensic techniques using attack graphs were conducted in the proposed test-bed which helped to evaluate the model proposed and suggests preventive measures for the improvement of security of the networks. Attack Graph Analysis for Network Anti-Forensics

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Model Towards Using Evidence from Security Events for Network Attack Analysis

Constructing an efficient and accurate model from security events to determine an attack scenario for an enterprise network is challenging. In this paper, we discuss how to use the information obtained from security events to construct an attack scenario and build an evidence graph. To achieve the accuracy and completeness of the evidence graph, we use Prolog inductive and abductive reasoning t...

متن کامل

An Ant Colony Optimization Algorithm for Network Vulnerability Analysis

Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...

متن کامل

A Probabilistic Network Forensic Model for Evidence Analysis

Modern-day attackers tend to use sophisticated multi-stage/multi-host attack techniques and anti-forensics tools to cover their attack traces. Due to the current limitations of intrusion detection systems (IDS) and forensic analysis tools, the evidence can be a false positive or missing. Besides, the number of security events is so large that finding an attack pattern is like finding a needle i...

متن کامل

Merging Sub Evidence Graphs to an Integrated Evidence Graph for Network Forensics Analysis

Evidence graphs model network intrusion evidence and their dependen­ cies to help with network forensics analysis. With quantitative metrics, probabilistic evidence graphs provide a way to link probabilities associ­ ated with different attack paths with available evidence. Existing work in evidence graphs assumes that all available evidence forms a single evidence graph. We show how to merge di...

متن کامل

A Logic-Based Network Forensic Model for Evidence Analysis

Modern-day attackers tend to use sophisticated multi-stage/multi-host attack techniques and anti-forensics tools to cover their attack traces. Due to the limitations of current intrusion detection and forensic anal­ ysis tools, reconstructing attack scenarios from evidence left behind by the attackers of an enterprise system is challenging. In particular, re­ constructing attack scenarios by us...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IJDCF

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2014