Security and privacy issues with mobile cloud computing applications june 2016

Internet
Computing
Laboratory
Security and Privacy Issues with Mobile
Cloud Computing Applications
Category : Mobile Cloud Computing, Mobile Cloud Security, Security and Privacy Issues
1
Present by
MERLEC M.
2016.06.08

Internet
Computing
Laboratory
Outline
2
Introduction
Security and privacy issues in MCC
Potential solution approaches
Related work: Proposed approaches & existing
solutions
Conclusion and open issues

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Introduction
3
⦿ Why we need Mobile Cloud Computing (MCC)?
 To extend the capabilities of mobile devices
 Processing power, Data storage capacity, etc.
 Enable users to execute computational and data-intensive applications on MDs,
 Computation offloading
 Extend battery life,
 Improve reliability, etc.
Cloud computing taxonomy
⦿ Recently several approaches have been proposed to integrate mobile devices
with cloud computing systems.
Cloud Computing
Static Cloud Computing
(Data Center) Mobile Cloud Computing
Infrastructure-based
Mobile Cloud
Infrastructure-less (ad hoc)
Mobile Cloud

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Motivation and Objective
4
⦿ MCC is based on anytime, anywhere computing paradigm,
 Integrates mobile computing with cloud computing infrastructures.
 Through mobile wireless communication network systems such as cellular network.
⦿ Recently, MCC has attracted significant attention of industries and academia
 Promises to meet the need for richer mobile applications and services
⦿ However, due to the integration of several technologies
 Privacy and Security are big concerns in mobile cloud computing.
⦿ we aimed to investigate on the security and privacy issues related to MCC
 By analyzing these issues from three main perspectives:
 Mobile Device Terminals, Mobile Communication Network and Cloud Infrastructure

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Mobile Cloud Computing Model Architecture
5
Infrastructure-based Mobile Cloud Computing Model Architecture [2]
MD Software
architecture
(3G, LTE, etc.)

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Security and privacy issues in MCC
6
Security issues Threats examples
Mobile
Device
terminal
Malware threats
Phishing, Spyware, Surveillance attacks, Botnets,
etc.
Software vulnerabilities
(OS, application software)
-System or input validation errors,
-Buffer overflows, SQL injection,
-Code injection, E-mail injection, etc.
Others (lack of security awareness,
mis-operation)
Users’ data leakage and privacy violation
Mobile
Network
Information leakage or
Malicious attack
 Connectivity heterogeneity
- Wi-Fi, 3G, LTE, Bluetooth, etc.
 Internet
Cloud
Platform
Platform reliability & availability  DOS attacks, side-channel attacks, ...
 Shared technology  shared dangers
Data and privacy protection
 Data breaches :
- System vulnerabilities
(Phishing, fraud, and software vulnerabilities)
- Hacked interfaces and APIs
- Compromised credentials and broken authentication
- (Permanent) data loss
Malware Treats
to mobile OS

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Mobile Malware threats and detection techniques
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⦿ Malicious behavior and threats of malware [3]
⦿ Classification of mobile malware detection techniques [3].

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Security and privacy issues : Potential approaches
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Security issues Potential approaches
Mobile
terminal
Malware threats
Prevention and Detection (signature or anomaly
-based)  CloudAV
Software vulnerabilities
(OS, application software)
-Periodically update the mobile devices’ OS
-Download and installing the system patches
-Checking the software legitimacy and
integrity
Others
(lack of security awareness,
mis-operation)
Regulating the users' behavior
Mobile
Network
Information leakage or
Malicious attack
- Data encryption
- Secure network and communication protocols
Cloud
Platform
Platform reliability Integrating the current security technologies:
-VPN, Authentication and access control
- Key management and data encryption;
-Privacy and data protection, etc.
-Complete backup and recovery solutions
Data and privacy protection

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Related Work : Proposed approaches & existing
solutions
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Criminals attack the weakest link to get access to sensitive data
Mobile devices are one of the easiest
paths to sensitive data.
- Outside of the perimeter:
usually outside of an organization’s
control
⦿ [11] Privacy and Data security investigation from enterprise mobility and productivity
management perspective
 Mobile is the new playground for thieves :
How to protect against mobile malware ?

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solutions
10
MaaS360 works with Trusteer to detect, analyze and remediate mobile malware in
compromised devices.
 Detect and analyze mobile malware signatures from a continually updated database
⦿IBM MaaS360 Mobile Threat Management
 Enterprise mobility management platform to enable productivity and data protection for the
way people work [12].

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solutions
11
[6] Investigates the security and privacy protection in Mobile Healthcare Networks (MHNs)
from the Quality of Protection (QoP) perspective.
MHN applications Mobile healthcare network

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solutions
12
Sybil attack detection for MHNs.
⦿ Sybil attack is one of these serious threats to MHNs,
 where Sybil attackers maliciously manipulate a large number of pseudonyms (or identities)
to cheat others.
• E.g. during fitness experience sharing in MHNs, Sybil attackers may repeatedly send the same fitness
experiences to the same users with multiple identities to mislead other users’ opinions and preferences.

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solutions
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Quality of Protection (QoP) in MHNs [6]

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solutions
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A VPN connection to virtual phone
⦿ [7] Proposed a mobile cloud execution framework
 which execute mobile applications in a cloud-based virtualized execution environment,
 with encryption and isolation to protect against eavesdropping from cloud providers.

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Conclusion and Open issues
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⦿ In summary, MCC is an emerging computing paradigm
 Integrates cloud computing with mobile computing technologies
 Through mobile communication networks.
 Offers many opportunities to design and develop next generation of distributed
smart and digital convergence solutions
⦿ As discussed, security and privacy are one of big the concerns that need
to be considered with MCC solutions.
 Further researches are necessary in order to address these challenging issues.

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References
1.Daojing He, Sammy Chan and Mohsen Guiszani, “User Privacy and Data Trustworthiness in Mobile Crowd Sensing”,
IEEE Wireless Communications (Volume:22 , Issue: 1 ), February 2015
2.Fangming Liu et al., “Gearing Resource-Pour Mobile Devices with Powerful Clouds: Architectures, Challenges, and Ap
plications”, IEEE Wireless Communications (Volume:20, Issue 3), June 2013
3.Daojing He, Sammy Chan and Mohsen Guiszani, “Mobile Application Security: Malware Threats and Defenses”, IEEE
Wireless Communications (Volume:22 , Issue: 1 ), February 2015
4.Hui Suo, Zhuohua Liu, Jiafu Wan, Keliang Zhou, “Security and Privacy in Mobile Cloud Computing”, 2013 9th Interna
tional on Wireless Communications and Mobile Computing Conference (IWCMC), Sardinia, 1-5 july 2013
5.D. Huang, X. Zhang ; M. Kang ; J. Luo, “MobiCloud: Building Secure Cloud Framework for Mobile Computing and Co
mmunication”, 2010 Fifth IEEE International SOSE, Nanjing, 4-5 June 2010
6.Kuan Zhang et al., “Security and privacy for mobile healthcare networks: from a quality of protection perspective”,
IEEE Wireless Communications (Volume:22 , Issue: 4 ), August 2015
7. Shih-Hao Hung et al., “An Online Migration Environment for Executing Mobile Applications on the Cloud”, 5th Inter-
nation Conference on Innovative, IEEE 2011
8.Shih-Hao Hung, Chi-Sheng Shih, Jeng-Peng Shieh ∗, Chen-Pang Lee, Yi-Hsiang Huang, “An Online Migration Environ
ment for Executing Mobile Applications on the Cloud”, IEEE 2011
9.Gonzalo Huerta-Canepa, Dongman Lee, “Virtual Cloud Computing Provider for Mobile Devices”, MCS'10 procee-
dings of the 1st ACM Workshop on Mobile Cloud Computing & Services, California, USA
10.IBM Security, “Mobile is the new playground for thieves. How to protect against mobile malware”, White Paper,
IBM Corporation 2016
16

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