A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sugumar, R.
- Optimization of Recent Attacks Using Internet Protocol
Authors
Source
National Journal of System and Information Technology, Vol 5, No 1 (2012), Pagination: 8-24Abstract
The Internet threat monitoring (ITM) systems have been deployed to detect widespread attacks on the Internet in recent years. However, the effectiveness of ITM systems critically depends on the confidentiality of the location of their monitors. If adversaries learn the monitor locations of an ITM system, they can bypass the monitors and focus on the uncovered IP address space without being detected. In this paper, we study a new class of attacks, the invisible LOCalization (iLOC) attack. The iLOC attack can accurately and invisibly localize monitors of ITM systems. In the iLOC attack, the attacker launches low-rate port-scan traffic, encoded with a selected pseudo noise code (PN-code), to targeted networks. While the secret PN-code is invisible to others, the attacker can accurately determine the existence of monitors in the targeted networks based on whether the PN-code is embedded in the report data queried from the data center of the ITM system. We formally analyze the impact of various parameters on attack effectiveness. We implement the iLOC attack and conduct the performance evaluation on a real-world ITM system to demonstrate the possibility of such attacks. We also conduct extensive simulations on the iLOC attack using real-world traces. Our data show that the iLOC attack can accurately identify monitors while being invisible to ITM systems. Finally, we present a set of guidelines to counteract the iLOC attack.Keywords
Internet Threat Monitoring, Invisible Localization Attack, PN-code, Security, Attack Traffic, Traffic Rate
References
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- Empowering Security and Performance of TPA Pertinent in Single Cloud to Multi-Cloud
Authors
1 Department of Computer Science, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Vellore District, Tamil Nadu, IN
2 Department of Information Technology, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Vellore District, Tamil Nadu, IN
Source
Wireless Communication, Vol 6, No 6 (2014), Pagination: 256-260Abstract
The use of cloud computing has increased rapidly in many organizations and it also deployed in technologies like 3G, 4G and pervasive applications. Ensuring the security of cloud computing is a major factor in the cloud computing environment as users often store sensitive information with cloud storage providers (CSP), but these providers may be untrusted. Even though a TPA audits the users data with correctness and integrity, dealing with single cloud providers is predicted to become less popular with service availability failure, possibility of malicious insiders and Byzantine faults in the single cloud. A movement towards Multi-Clouds or in other words inter-clouds or clouds- of- clouds has emerged recently; hence we need to protect the user data in Multi-Clouds with greater security in the form of public batch auditing and dynamic certification to perform continuous monitoring from single to Multi-Clouds, by this, it is to implement Cipher text – Policy Attribute Based Encryption(CP-ABE)[6] to achieve secure data sharing and also provides forward and data sharing and also provides forward and backward security in cloud computing to improve the security and performance with many number of users using the single to multi cloud environment.
Keywords
TPA (Third Party Auditor), CSP (Cloud Service Provider), CP-ABE (Cipher Text Policy Attribute based Encryption), TPACA (Third Party Auditor Certificate Authority).- Determining the Existence of Quantitative Association Rules in Data Mining
Authors
1 Department of IT, RMDEC, Chennai, IN
2 Department of IT, Sree Sastha Institute of Technology, IN
3 Department of CSE, RMKEC, Chennai, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 6 (2010), Pagination:Abstract
Determining the association rules is a core topic of data mining. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The theories behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.