forensics readiness for wireless body area network (wban) system reviewed by : ahlam abdullah baqazi...

Forensics Readiness for Wireless Body Area Network (WBAN) System

Reviewed by : ahlam abdullah baqazi ID:43580335

What is WBAN ?Any WBAN must be: • open • accurate • efficient

Phases needed to develop Forensic readiness system

Phase#1 Practical Impact Assessment

Phase#2 Additive Value Function

Phase#3 Security Impact Level

Phase#4 Forensic Readiness Secure

Network Architecture

First phase: Practical Impact Assessment

PIA

Eavesdropping Denial of service(DOS)

Authentication bypass

Role bypass

Confidentiality

Availabili

ty Integ

rity

WBAN Base station

Time

Distance

Practical Impact Assessment process

Start

H.W and S.W setup

Attack Execution

Variables measures

Decision

PIA data Finish

Location selection

yes

No

Second phase: additive value function(AVF):

A function to transform all collected qualitative data into quantitative data.

Quantitative data to determine security impact level

V(X) = ∑Wm x ∑ Vm (Xm)

Third phase: security impact level

level Vm(X)m

Low impact level 1

Moderate impact level 2

High impact level 3

Forth phase: forensic readiness network architecture: At this phase the system will have: forensic readiness capabilities. preventive and detective mechanism

WBAN base station Capture unit

Evidence storage

Report

Traffic monitoring Logging

Logs perseveration Logs analysis

Produce a report

Forth phase: forensic readiness network

architecture :

6 meter

5 meter

Secure space 113.14286 m^2

Conclusion:

The proposed forensic readiness system for WBAN will prevent security attacks to WBAN and as well helps identify the attackers.

Reference :

[1] Abdul Fuad Abdul Rahman, Rabiah Ahmad and Madihah Zulfa Mohamad” Developing Forensic Readiness Secure Network Architecture for Wireless Body Area Network (WBAN)”- 2014.[2] jamil .Y.Khan and mehmet R.Yuce “wireless body area network(WBAN) for medical application” – 2010.[3] Emmanuel S.Pilli,R.C Joshi, Rajdeep Niyogi “A Generic Framework For Network Forensics” - 2010.