scholarly journals Privacy Protection Against Insider Attacks

A growing number of public and private sector organizations are recognizing insider threats as a critical area. In response, many steps are taken to defend assets against risks posed by employees and third-party trust. Insiders pose unique challenges for defenders. Traditional security tools are unlikely to audit insiders, let alone privileged users who have a potentially malicious intent. Although a high-risk activity, it is common to see users sharing passwords between colleagues or subordinates, defeating the purpose of authentication. This increases chances of Insider Attacks (IA), as it is hard to identify malicious insiders, given an attacker is entrusted with highly privileged access to read and write operations. Information Technology Organizations employ many workers with varying level of access, and every user is authenticated with unique login credenti¬als. Controls need to be put in place in order to secure the systems, since it can hamper login patterns. Research indicates that by analysis of system calls (SCs) that are generated upon user login can detect intrusions and read such patterns that are against the normal operations of the system. Information Technology Organizations employ many workers with varying level of access, and no two users have same login behavior. Given every user has a unique login pattern, this work proposes a system called Privacy Protection Against Insider Attacks (PPIA) which learns the login pattern of each user that is authenticated and employs data mining concepts to read user behavior and endeavors to detect insider attacks .Experimental results indicate that the approach is very effective and accurate..

2016 ◽  
Vol 19 (3) ◽  
pp. 47-66 ◽  
Author(s):  
VIRGÍNIA TALAVEIRA VALENTINI TRISTÃO ◽  
JOSÉ AMÉRICO MARTELLI TRISTÃO

Abstract Environmental education practiced by non-governmental organizations (NGOs) presents itself as a new teaching method directed at changing habits, attitudes and social practices seeking solutions for the social-environmental degradation afflicting the contemporary world. This work seeks to identify the perception and expectations of stakeholders regarding the contribution of NGOs in environmental education. The research was guided by the Delphi method and, as a result, verified that the involved stakeholders understand that environmental education practiced by NGOs must be ample, free, professionalized and directed towards all the segments of society via partnerships with public and private sector organizations.


Author(s):  
Marcus Tanque ◽  
Harry J. Foxwell

This chapter discusses businesses, key technology implementations, case studies, limitations, and trends. It also presents recommendations to improve data analysis, data-driven innovation, and big data project implementation. Small-to-large-scale project inefficiencies present unique challenges to both public and private sector institutions and their management. Data analytics management, data-driven innovation, and related project initiatives have grown in scope, scale, and frequency. This evolution is due to continued technological advances in analytical methods and computing technologies. Most public and private sector organizations do not deliver on project benefits and results. Many organizational and managerial practices emphasize these technical limitations. Specialized human and technical resources are essential for an organization's effective project completion. Functional and practical areas affecting analytics domain and ability requirements, stakeholder expectations, solution infrastructure choices, legal and ethical concerns will also be discussed in this chapter.


Author(s):  
Chandra Sekhar Patro

Employees' play a key role in the existence and growth of any organisation, therefore their welfare is essential. During the past few years, both public sector and private sector organisations have been contributing towards the employee's benefits and also increase their efficiency. Employees' welfare facilities include housing facilities, free medical facilities, retirement benefits, children and adult educational benefits, welfare measures for the employee's families, loan facilities, etc. If the organisations do not bother about the employees benefit, but expect efficient and high performance from them, it is a mere waste. So there is utmost need for the employee's welfare in any type of organisation. Organizations have to provide welfare facilities to their employees to keep their motivation levels high. A comparative study was undertaken to know the satisfaction level of the employees on the enforceability of various welfare measures in both the public and private sector organizations. The study also throws light on impact of welfare measures on the employees' performance.


1992 ◽  
Vol 8 (4) ◽  
pp. 623-634 ◽  
Author(s):  
Michael J. Free

AbstractThis paper provides a critical overview of several strategies and mechanisms that have been employed by the Program for Appropriate Technology in Health over the past decade to address the unmet needs for health technologies in the developing world. Partnerships between public and private-sector organizations are emphasized in order to share risks, encourage efficiency, and ensure the availability of priority products for health care in resource-poor settings. Incentives for the involvement of the commercial sector, the means to protect the interest of the public sector, and the role of bridging organizations are discussed in the light of the shifting goals of the public sector.


2016 ◽  
Vol 9 (1) ◽  
pp. 27-46 ◽  
Author(s):  
Akintayo Opawole ◽  
Godwin Onajite Jagboro

Purpose Demand–supply matrices with adverse consequences has occasioned government response to concession initiatives in infrastructure in Nigeria. However, concession-based projects have been trailed by administrative and legal controversies. While this scenario has negatively impacted the acceptability of a concession contract, there is, nevertheless, a paucity of research effort aimed at developing a sustainable framework. The purpose of this paper is to develop a conceptual framework for the evaluation and allocation of obligations of parties, thereby enhancing the synergy and cooperation between the public and private sector organization. Design/methodology/approach Data were obtained through a questionnaire administered to professionals in concession-based contracts in southwestern Nigeria, which included architects, estate surveyors, quantity surveyors, engineers and builders, accountants/bankers/economists and lawyers. The respondents were selected using random and respondent driven sampling approaches. The questions were structured to ensure that the respondents have appropriate experience in concession-based projects and hold appropriate positions as decision-makers so as to give credence to the collected data. Findings The study identified 47 contractual obligations in the specific context of developing countries. Based on “half-adjusting principle”, 13 of the obligations notably cost of land acquisition and cost of social disturbances were allocated to the public party; 18 of the obligations notably project design and cost of feasibility study were allocated to the private party; and 16 of the obligations including preparation of terms of a contract and relocation of third party facilities were shared by the parties. Originality/value The framework benchmarked the categorization of public and private parties’ obligations in concession-based public–private partnership (PPP) contracts. The study has the implication for the evaluation and allocation of obligations of parties, which could mitigate the risk of failure of PPP projects in relation to the specific context of developing countries.


2019 ◽  
Vol 13 (01) ◽  
Author(s):  
Saman Khan ◽  
Bhavika Bharti

India has become one of the fastest growing economies in the world over the last two decades, undoubtedly aided in this performance by economic reforms. The striking aspect of India’s recent growth has been the dynamism of the service sector, while, in contrast, manufacturing has been much less robust, contrary to the experience in other emerging market countries, where manufacturing has grown much faster than GDP. Present study is focused on a comparative evaluation of two steel giants in India i.e. SAIL and TATA steel. The study reveals that training and MDP have positive correlation with employee development, employee satisfaction and organizational productivity whereas it has been found that private sector managers (TATA Steel) have more positive opinion for training and MDP in comparison with public sector enterprise (SAIL)


2019 ◽  
Author(s):  
Tadhg Nagle ◽  
David Sammon ◽  
Walter Cleary

With the advent of new technology and digital trends, realizing value from data is a top priority for organizations. Along with this, the increased awareness that every business is a data business is beginning to take hold, especially in organizations engaging in data projects through the use of technologies such as Big Data, the Internet of Things and Advanced Analytics. However, it has been shown that there is a lack of understanding on how these projects will deliver value or benefit for the organization (LaValle et al. 2011). Or indeed, there is a lack of understanding on how to effectively manage and govern such projects and capabilities (Tallon 2013). In other words, implementing a data project does not automatically deliver business value, execute as expected, or make your organization data driven. To make your organization more effective when implementing data projects and developing a mature data capability, conversations need to be initiated between stakeholders and focus on the key problem to be solved by the data project. This focus is provided by answering six simple questions: why, what, when, who, where, and how. Yet, given the multitude of conversations that need to take place around the problem there are a lack of appropriate tools that can enable stakeholders to reach a shared understanding when planning data projects. Our research with major public and private sector organizations over the past three years has resulted in the development of a new ‘discursive template’ (c.f. Tsoukas and Chia 2002) (namely the Data Value Map - DVM to promote new transformative conversations within data projects while also producing a more rigorous and robust validation of the potential value of those projects. Moreover, this new approach is the output of four studies, which include: (i) a survey of over 50 organizations worldwide which examined the drivers, goals and barriers of data analytics, (ii) an analysis of 18 projects focused on developing data solutions, (iii) an analysis of over 100 implementations of the DVM, and (iv) one in-depth case study with multiple implementations. The objective of this paper is to present both our new approach for planning data projects along with the insights gained from these studies.


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