The Global Cyber-Vulnerability Report

Subrahmanian, V. S.; Ovelgönne, Michael; Dumitraş, Tudor; Prakash, B. Aditya

doi:10.1007/978-3-319-25760-0

Cited by 28 publications

(16 citation statements)

References 1 publication

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“…India is one of the five countries considered to be most vulnerable to data theft and associated fraud, and ranks third among countries that are most prone to breakdown or cracking of banking software systems (Subrahmanian et al., ). Therefore, in addition to privacy concerns, there are possibilities of fraud, cyber‐crime and identity theft.…”

Section: Concerns About Digital Transactionsmentioning

confidence: 99%

The Financialization of Finance? Demonetization and the Dubious Push to Cashlessness in India

Chandrasekhar¹,

Ghosh²

2017

Development and Change

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This Debate contribution describes the promotion of digital rather than cash payments as a form of the financialization of finance, in its role as a payments system, with reference to recent Indian experience. The arguments in favour of reducing cash usage must be seen relative to the costs of digital payments, for both society and individuals. The drastic demonetization episode in India, which removed 86 per cent of the value of notes in circulation at one stroke in November 2016, was partly justified in terms of forcing a shift to cashless transactions. However, such a shift requires that adequate infrastructure be in place in terms of banking and connectivity, both of which are currently lacking in India. The article also identifies other concerns with digital transactions including higher costs and the possibilities of loss of privacy, fraud, identity theft and surveillance. The obsession with digital transactions as a marker of social and material progress is misplaced; it may become yet another means by which finance extracts rentier incomes out of relatively poor populations.

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Section: Concerns About Digital Transactionsmentioning

confidence: 99%

The Financialization of Finance? Demonetization and the Dubious Push to Cashlessness in India

Chandrasekhar¹,

Ghosh²

2017

Development and Change

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“…Equipped with an infrastructure of several sophisticated tools, cybersecurity analysts thoroughly investigate the alerts that are generated and queued by the IDS or SIEM tools [Bhatt et al 2014;Zimmerman 2014;Zaccaro et al 2016]. Automated techniques for detecting malicious behavior [Northcutt and Novak 2002;Di Pietro and Mancini 2008;Subrahmanian et al 2015] and developing automated alert reduction techniques by reducing false positives (Barbará and Jajodia 2002) have been the focus of many research studies. Understanding the human and organizational problems faced by a CSOC has been studied in Botta et al (2011) and Furnell et al (2010).…”

Section: Related Literaturementioning

confidence: 99%

Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions

Shah

Ganesan

Jajodia

et al. 2018

ACM Trans. Intell. Syst. Technol.

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The analysts at a cybersecurity operations center (CSOC) analyze the alerts that are generated by intrusion detection systems (IDSs). Under normal operating conditions, sufficient numbers of analysts are available to analyze the alert workload. For the purpose of this article, this means that the cybersecurity analysts in each shift can fully investigate each and every alert that is generated by the IDSs in a reasonable amount of time and perform their normal tasks in a shift. Normal tasks include analysis time, time to attend training programs, report writing time, personal break time, and time to update the signatures on new patterns in alerts as detected by the IDS. There are several disruptive factors that occur randomly and can adversely impact the normal operating condition of a CSOC, such as (1) higher alert generation rates from a few IDSs, (2) new alert patterns that decrease the throughput of the alert analysis process, and (3) analyst absenteeism. The impact of the preceding factors is that the alerts wait for a long duration before being analyzed, which impacts the level of operational effectiveness (LOE) of the CSOC. To return the CSOC to normal operating conditions, the manager of a CSOC can take several actions, such as increasing the alert analysis time spent by analysts in a shift by canceling a training program, spending some of his own time to assist the analysts in alert investigation, and calling upon the on-call analyst workforce to boost the service rate of alerts. However, additional resources are limited in quantity over a 14-day work cycle, and the CSOC manager must determine when and how much action to take in the face of uncertainty, which arises from both the intensity and the random occurrences of the disruptive factors. The preceding decision by the CSOC manager is nontrivial and is often made in an ad hoc manner using prior experiences. This work develops a reinforcement learning (RL) model for optimizing the LOE throughout the entire 14-day work cycle of a CSOC in the face of uncertainties due to disruptive events. Results indicate that the RL model is able to assist the CSOC manager with a decision support tool to make better decisions than current practices in determining when and how much resource to allocate when the LOE of a CSOC deviates from the normal operating condition.

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“…Some of the web applications used the users for transaction purposes are e-commerce, online banking, shopping sites, online training etc. Web applications are increasing in features, programming and content [2]. The improvement in the web application is as a result of the users that interact on the web daily for one transaction or the other.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2020

International Journal of Advanced Research in Computer and Comm

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Web applications are programs that are available on the go. The increase in the number of customers accessing the web demands for technological complexity to manage the operation. The session established between the user and the server can be hijacked by an attacker by masquerading as an authorized user called Man-in-the-Middle (MITM). The target of the attacker is to have access to users' confidential records in the server for their own financial gain. It was predicted by Juniper research that by 2023 over 146 billion records will be tampered with and also electronic commerce will progressively increase by 66% in 2024 as the number on online transaction reaches $18.7 trillion. The security of Web applications have been a great concern to many online services. The paper, therefore developed a web application for e-Commerce for the detection and prevention of session hijacking in order to protect individual records from unauthorized user.

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The Global Cyber-Vulnerability Report

Cited by 28 publications

References 1 publication

The Financialization of Finance? Demonetization and the Dubious Push to Cashlessness in India

The Financialization of Finance? Demonetization and the Dubious Push to Cashlessness in India

Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions

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