Signature-Based Detection of Notable Transitions in Numeric Data Streams

Cherniak, Andrii; Zadorozhny, Vladimir

doi:10.1109/tkde.2012.241

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…This restriction can be partially solved by deploying an automated signature creator attached to the SDB systems . The signature creator can be generated from collecting and analyzing constituents of frequent or consistent behaviors . However, the limitation of this solution is that current algorithms cannot fully detect all malicious instances.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

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Intrusion detection techniques for mobile cloud computing in heterogeneous 5G

Gai

Qiu

Tao

et al. 2015

Security Comm. Networks

148

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Mobile cloud computing is applied in multiple industries to obtain cloud‐based services by leveraging mobile technologies. With the development of the wireless networks, defending threats from wireless communications have been playing a remarkable role in the Web security domain. Intrusion detection system (IDS) is an efficient approach for protecting wireless communications in the Fifth Generation (5G) context. In this paper, we identify and summarize the main techniques being implemented in IDSs and mobile cloud computing with an analysis of the challenges for each technique. Addressing the security issue, we propose a higher level framework of implementing secure mobile cloud computing by adopting IDS techniques for applying mobile cloud‐based solutions in 5G networks. On the basis of the reviews and synthesis, we conclude that the implementation of mobile cloud computing can be secured by the proposed framework because it will provide well‐protected Web services and adaptable IDSs in the complicated heterogeneous 5G environment. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Intrusion Detection Systemsmentioning

confidence: 99%

“…However, the limitation of this solution is that current algorithms cannot fully detect all malicious instances. Most approaches addressing this issue determine the suspicious traffic by analyzing the data streams' reflections , which cannot entirely secure the outcomes.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

Intrusion detection techniques for mobile cloud computing in heterogeneous 5G

Gai

Qiu

Tao

et al. 2015

Security Comm. Networks

148

View full text Add to dashboard Cite

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“…The Packet Processor first retrieves the contents from the payload of the HTTP packet. The payload contents should be matched against the signature database which contains the signature of the SQL injection attacks that will be detected by the program [17]. The contents of the signature database contains various keywords such as UNION and few specific SQL functions such as INTERVAL(…) which can form SQL injection attacks.…”

Section: System Architecturementioning

confidence: 99%

SQLI detection system for a safer web application

Pramod¹,

Ghosh²,

Mohan³

et al. 2015

2015 IEEE International Advance Computing Conference (IACC)

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SQL Injection (SQLI) is a quotidian phenomenon in the field of network security. It is a potent and effective way of intruding into secured databases thereby jeopardizing the confidentiality, integrity and availability of information in them. SQL Injection works by inserting malicious queries into legal queries thereby rendering it increasingly arduous for most detection systems to be able to discern its occurrence. Hence, the need of the hour is to build a coherent and a smart SQL Injection detection system to make web applications safer and thus, more reliable. Unlike a great majority of current detection tools and systems that are deployed at a region between the web server and the database server, the proposed system is deployed between client and the web server, thereby shielding the web server from the inimical impacts of the attack. This approach is nascent and efficient in terms of detection, ranking and notification of the attack designed using pattern matching algorithm based on the concept of hashing.

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