LDAP injection techniques

Alonso,; Bordon,; Beltrán, Fernando; Guzmán,

doi:10.1109/iccs.2008.4737330

Cited by 10 publications

(10 citation statements)

References 10 publications

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“…LDAP LDAP injection is an attack utilized to achieve web-based applications that structure LDAP declarations based on client information [40]. NETBIOS A security flaw in NetBIOS permits an attacker to read data [41].…”

Section: Ssdpmentioning

confidence: 99%

Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic

Alzahrani

2021

Electronics

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The recent advance in information technology has created a new era named the Internet of Things (IoT). This new technology allows objects (things) to be connected to the Internet, such as smart TVs, printers, cameras, smartphones, smartwatches, etc. This trend provides new services and applications for many users and enhances their lifestyle. The rapid growth of the IoT makes the incorporation and connection of several devices a predominant procedure. Although there are many advantages of IoT devices, there are different challenges that come as network anomalies. In this research, the current studies in the use of deep learning (DL) in DDoS intrusion detection have been presented. This research aims to implement different Machine Learning (ML) algorithms in WEKA tools to analyze the detection performance for DDoS attacks using the most recent CICDDoS2019 datasets. CICDDoS2019 was found to be the model with best results. This research has used six different types of ML algorithms which are K_Nearest_Neighbors (K-NN), super vector machine (SVM), naïve bayes (NB), decision tree (DT), random forest (RF) and logistic regression (LR). The best accuracy result in the presented evaluation was achieved when utilizing the Decision Tree (DT) and Random Forest (RF) algorithms, 99% and 99%, respectively. However, the DT is better than RF because it has a shorter computation time, 4.53 s and 84.2 s, respectively. Finally, open issues for further research in future work are presented.

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Section: Ssdpmentioning

confidence: 99%

Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic

Alzahrani

2021

Electronics

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“…LDAP directories are hierarchical databases [1] that hold information about people and entities [3] (such as workstation PAM or SAM files). Inside each directory, data is stored in a tree structure with every level of the tree being a different domain.…”

Section: Ldap Overviewmentioning

confidence: 99%

“…This means that by design LDAP is an open system for accepting and returning queries. The difference between directories and regular databases is that a directory typically has its data organized to allow quick search results for rapid querying [4].…”

Section: Ldap Overviewmentioning

confidence: 99%

“…A lot of research has been done on LDAP injections [1,4] while far less is known about proper protection and implementation of LDAP servers. Denial-of-service of LDAP usually targets one of two OSI network layers.…”

Section: Related Workmentioning

confidence: 99%

“…Since LDAP servers are critical [1] in business environments, they are typically hidden behind firewalls and IDS software (see Figure 1). One major flaw that usually causes security policies to be degraded, is the fact that LDAP is also an active directory meaning that IT departments will usually make these servers open to the Internet.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerabilities of LDAP As An Authentication Service

Obimbo

Ferriman

2011

JIS

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Lightweight Directory Access Protocol (LDAP) servers are widely used to authenticate users in enterprise level networks. Organizations such as universities and small to medium-sized businesses use LDAP for a variety of applications including e-mail clients, SSH, and workstation authentication. Since many organizations build dependencies on the LDAP service, a Denial-of-Service (DoS) attack to the service can cause a greater number of services disrupted. This paper examines the danger in the use of LDAP for user authentication by executing a DoS attack exploiting the TCP three-way handshake required when initializing a connection to an LDAP server

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Relevance of the Gaussian classification on the Detection of DDoS Attacks

Tapsoba

Ouédraogo

2022

2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

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LDAP injection techniques

Cited by 10 publications

References 10 publications

Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic

Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic

Vulnerabilities of LDAP As An Authentication Service

Relevance of the Gaussian classification on the Detection of DDoS Attacks

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