The field of information security is a fast-growing discipline. Even though the effectiveness of security measures to protect sensitive information is increasing, people remain susceptible to manipulation and thus the human element remains a weak link. A social engineering attack targets this weakness by using various manipulation techniques to elicit sensitive information. The field of social engineering is still in its early stages with regard to formal definitions, attack frameworks and templates of attacks. This paper proposes detailed social engineering attack templates that are derived from real-world social engineering examples. Current documented examples of social engineering attacks do not include all the attack steps and phases. The proposed social engineering attack templates attempt to alleviate the problem of limited documented literature on social engineering attacks by mapping the real-world examples to the social engineering attack framework. Mapping several similar real-world examples to the social engineering attack framework allows one to establish a detailed flow of the attack whilst abstracting subjects and objects. This mapping is then utilised to propose the generalised social engineering attack templates that are representative of real-world examples, whilst still being general enough to encompass several different real-world examples. The proposed social engineering attack templates cover all three types of communication, namely bidirectional communication, unidirectional communication and indirect communication. In order to perform comparative studies of different social engineering models, processes and frameworks, it is necessary to have a formalised set of social engineering attack scenarios that are fully detailed in every phase and step of the process. The social engineering attack templates are converted to social engineering attack scenarios by populating the template with both subjects and objects from real-world examples whilst still maintaining the detailed flow of the attack as provided in the template. Furthermore, this paper illustrates how the social engineering attack scenarios are applied to verify a social engineering attack detection model. These templates and scenarios can be used by other researchers to either expand on, use for comparative measures, create additional examples or evaluate models for completeness. Additionally, the proposed social engineering attack templates can also be used to develop social engineering awareness material.

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The human is often the weak link in the attainment of Information Security due to their susceptibility to deception and manipulation. Social Engineering refers to the exploitation of humans in order to gain unauthorised access to sensitive information. Although Social Engineering is an important branch of Information Security, the discipline is not well defined; a number of different definitions appear in the literature. Several concepts in the domain of Social Engineering are defined in this paper. This paper also presents an ontological model for Social Engineering attack based on the analysis of existing definitions and taxonomies. An ontology enables the explicit, formal representation of the entities and their interrelationships within a domain. The aim is both to contribute towards commonly accepted domain definitions, and to develop a representative model for a Social Engineering attack. In summary, this paper provides concrete definitions for Social Engineering, Social Engineering attack and social engineer.

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Computer network attacks differ in the motivation of the entity behind the attack, the execution and the end result. The diversity of attacks has the consequence that no standard classification exists. The benefit of automated classification of attacks, means that an attack could be mitigated accordingly. The authors extend a previous, initial taxonomy of computer network attacks which forms the basis of a proposed network attack ontology in this paper. The objective of this ontology is to automate the classification of a network attack during its early stages. Most published taxonomies present an attack from either the attacker's or defender's point of view. The authors’ taxonomy presents both these points of view. The framework for an ontology was developed using a core class, the “Attack Scenario”, which can be used to characterize and classify computer network attacks.

Information security is a fast-growing discipline, and relies on continued improvement of security measures to protect sensitive information. Human operators are one of the weakest links in the security chain as they are highly susceptible to manipulation. A social engineering attack targets this weakness by using various manipulation techniques to elicit individuals to perform sensitive requests. The field of social engineering is still in its infancy with respect to formal definitions, attack frameworks, and examples of attacks and detection models. In order to formally address social engineering in a broad context, this paper proposes the underlying abstract finite state machine of the Social Engineering Attack Detection Model (SEADM). The model has been shown to successfully thwart social engineering attacks utilising either bidirectional communication, unidirectional communication or indirect communication. Proposing and exploring the underlying finite state machine of the model allows one to have a clearer overview of the mental processing performed within the model. While the current model provides a general procedural template for implementing detection mechanisms for social engineering attacks, the finite state machine provides a more abstract and extensible model that highlights the inter-connections between task categories associated with different scenarios. The finite state machine is intended to help facilitate the incorporation of organisation specific extensions by grouping similar activities into distinct categories, subdivided into one or more states. The finite state machine is then verified by applying it to representative social engineering attack scenarios from all three streams of possible communication. This verifies that all the capabilities of the SEADM are kept in tact, whilst being improved, by the proposed finite state machine.

Cyber security is an important aspect of National Security and the safekeeping of a Nation's constituency and resources. In South Africa, the focus on cyber security is especially prominent since many geographical regions are incorporated into the global village in an attempt to bridge the digital divide. This article reflects on current research done in South Africa with regard to a cyber security policy, and proposes the development of methodologies and frameworks that will enable the implementation of such a policy. The focus of this article is the use of an ontology-based methodology to identify and propose a formal, encoded description of the cyber security strategic environment. The aim of the ontology is to identify and represent the multi-layered organisation of players and their associated roles and responsibilities within the cyber security environment. This will contribute largely to the development, implementation and rollout of a national cyber security policy in South Africa.

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