On cloud security attacks: A taxonomy and intrusion detection and prevention as a service

Iqbal, Salman; Kiah, Miss Laiha Mat; Dhaghighi, Babak; Hussain, Muzammil; Khan, Suleman; Khan, Muhammad Khurram; Choo, Kim‐Kwang Raymond

doi:10.1016/j.jnca.2016.08.016

Cited by 199 publications

(70 citation statements)

References 99 publications

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“…If any how an attacker can hack traffic between users and IDM, he can get the credentials of the user and he can gain access to IDM server and cloud services [19,20,21]. Although it is not possible to save all the communication paths every time, yes, we can increase the difficulty level for attacker which can reduce the possibilities of attacks.…”

Section: Figure 3 Possibility Of Communication Path Compromise In Comentioning

confidence: 99%

Secured Identity Management System for Preserving Data Privacy and Transmission in Cloud Computing

Rastogi¹,

Sushil²

2018

IJFGCN

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Section: Figure 3 Possibility Of Communication Path Compromise In Comentioning

confidence: 99%

Secured Identity Management System for Preserving Data Privacy and Transmission in Cloud Computing

Rastogi¹,

Sushil²

2018

IJFGCN

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“…The model was developed over NSL-KDD corpus. An intrusion classification for cloud services were put forward in [23]. The author proposed a cloud-based IDS.…”

Section: Related Workmentioning

confidence: 99%

Anomaly based Intrusion Detection by Heuristics to Predict Intrusion Scope of IOT Network Transactions

Korani¹,

Reddy²

2018

IJET

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Conventional intrusion detection mechanisms face serious limitations in identifying heterogeneous and distributed type of intrusions over the IoT environment. This is due to inadequate resources and open deployment environment of IoT. Accordingly, ensuring data security and privacy are tough challenges in the practical context. This manuscript discusses various aspects of networking security and related challenges along with the concepts of system architecture. Further, endeavored to define a machine learning model that outlines two heuristics called Intrusion Scope Heuristic ( ish ), and benign scope heuristic ( bsh ), which further uses in predictive analysis to identify the IOT network transaction is prone to intrusion or benign. The experimental study revealed the significance of the proposal with maximal detection accuracy, and minimal miss rate.

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“…Internet users often suffer from this attack, and since the cloud is web based, Cloud Clients are concerned as well. [2] 2.3 SQL Injection and Cross-Site Scripting :…”

Section: Phishing / Ingénierie Socialementioning

confidence: 99%

SaaS Cloud Security : Attacks and Proposedsolutions

Soufiane

Bouden

2017

TMLAI

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Nowadays the Cloud has started to gain ground even in SMEs, in spite of that the Cloud is still unknown for several ... for others few reliable.SaaS represents a promising technology, which grows each year rapidly. Only at the security level, there are many obstacles, and becomes a major problem against its adoption. For example the public cloud represents a huge risk since the data of several companies are stored at the same place, close to each other.For this reason the security of transiting or stored data in the SaaS remains a challenge for providers in order to gain the confidence of the customers.SAAS remains the target of several attacks, such as network attacks, etc., which aim to disrupt its operation. Therefore, it is essential to deal with these attacks, and tried to minimize vulnerability and adopt new security concepts.Through this document, we are going to study the security of SaaS, We will try to find the burly and feeble points of the most famous clouds such as Google Amazon, Microsoft, and come out with Countermeasures and proposals solution.

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On cloud security attacks: A taxonomy and intrusion detection and prevention as a service

Cited by 199 publications

References 99 publications

Secured Identity Management System for Preserving Data Privacy and Transmission in Cloud Computing

Secured Identity Management System for Preserving Data Privacy and Transmission in Cloud Computing

Anomaly based Intrusion Detection by Heuristics to Predict Intrusion Scope of IOT Network Transactions

SaaS Cloud Security : Attacks and Proposedsolutions

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