SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

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SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESCELLPHONESBYSAROSH CYRUS HAVEWALAB.Engr., University of Mumbai, 1997THESISSubmitted in partial fulfillment of requirements for the degree of Master of

Science in Computer Science in the Graduate College of theUniversity of Illinois at Urbana-Champaign, 2001Urbana, IllinoisAbstractThis study explains SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

the authentication and encryption scheme used in GSM. It explains the A3, A5 and A8 protocols used in the security mechanism in GSM. It explains the

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

different possible attacks on cellular systems, which include SIM cloning, eavesdropping, location tracking, SMS ping, SMS denial ol service, authenti

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESints out the vulnerabilities that are exploited by attacks on cellular systems. It shows that die existing security' schemes do not provide adequate s

ecurity and that there is a need to develop new mec hanisms that are better suited to the wireless environment.The study also looks into how risk anal SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

ysis, risk modeling and fuzzy logic can be applied to security in mobile systems. It proposes a fuzzy logic based risk model to secure Short Message S

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

ervice in GSM based cellular networks. The proposed model uses a hybrid approach towards risk modeling, rhe user begins use of the system with a matur

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESis operational, the model continues to evolve with constant leedbac k from the user. This approach puls lhe user in control and allows die model to be

refined with time to better match the existing circumstances, rhe model is simple, encourages experimentation and puts the user in an active role.iii SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

AcknowledgementsI wish to thank my advisor, Prof. Roy Campbell for his guidance and help throughout the Master’s program. I also wish to thank Prof. D

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

ennis Mickunas for always being there whenever I needed help or advice. It was a great privilege for me to be a pan of the Systems Research Group (SRG

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESy SRG. I sincerely thank the Department of Computer Science at the University of Illinois at Urbana-Champaign for providing me with the opportunity to

work with some of the best faculty and students in the world. I thank Siebel Systems and the Department of Computer Science at the University of Illi SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

nois at Urbana-Champaign for the appreciation they have shown for my work in the form of the Siebel Scholar Fellowship. 1 shall prize this honor for l

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

ife. Above all, 1 would like to thank my parents, to whom I owe everything I have ever accomplished in my life. They have been a constant source of in

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESense of gratitude. I would finally like to thank my relatives in India, who have constantly showered me with their affection and moral support.ivTable

of ContentsChapter 1Introduction .......11.1Security in Mobile Systems .....11.2Short Message Service in GSM .....21.3Risk Modeling and Fuzzy Logic. SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

....4Chapter 2Explanation of Acronyms and Terms Used5Chapter 3Security in Cellular Systems ....93.1Need for Security in Cellular Systems ....93.2Essen

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES

tial Features of a Security Scheme ...93.3Overview of Security Mechanism in GSM ...103.3.1Overview of A3/A8.....133.3.2Overview of A5 ......14Chapter

SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONESSIM ..184.1.2Over-the-air Cloning of a SIM ....194.1.3Possible Damage by SIM Cloning ...20