Notice bibliographique
Résumé
Today, information security is one of the highest priorities on the IT agenda. In 2003, Luftman and McLean (2004) conducted a survey of Society for Information Management members to identify the top 20 information technology (IT) issues for executives. Security and privacy issues were ranked third, after IT/ business alignment and IT strategic planning. Concept of information security applies to all the data stored in information systems or being communicated in information networks and encompasses measures applied on all layers of open system interconnect (OSI) model of international standards such as application, networking, and physical. Sophisticated technologies and methods have been developed to: • Control access to computer networks • Secure information systems with advanced cryptography and security models • Establish standards for operating systems with focus on confidentiality • Communication integrity and availability for securing different types of networks • Manage trustworthy networks and support business continuity planning, disaster recovery, and auditing The most widely recognized standards are: • In the United States: Trusted Computer System Evaluation Criteria (TCSEC). • In Canada: Canadian Trusted Computer Product Evaluation Criteria (CTCPEC). • In Europe: Information Technology Security Evaluation Criteria (ITSEC). All of theses standards have recently been aggregated into Common Criteria standards. And yet, the information systems continue to be penetrated internally and externally at a high rate by malicious code, attacks leading to loss of processing capability (like distributed denial-of-service attack), impersonation and session hijacking (like man-in-the-middle attack), sniffing, illegal data mining, spying, and others. The problem points to three areas: technology, law, and IT administration. Even prior to the drama of 9/11, several computer laws were enacted in the USA and yet more may come in the future. Still the fundamental threats to information security, whether they originated outside the network or by the company’s insiders, are based on fundamental vulnerabilities inherent to the most common communication protocols, operating systems, hardware, application systems, and operational procedures. Among all technologies, the Internet, which originally was created for communication where trust was not a characteristic, presents the greatest source of vulnerabilities for public information systems infrastructures. Here, a threat is a probable activity, which, if realized, can cause damage to a system or create a loss of confidentiality, integrity, or availability of data. Consequently, vulnerability is a weakness in a system that can be exploited by a threat. Although, some of these attacks may ultimately lead to an organization’s financial disaster, an all-out defense against these threats may not be economically feasible. The defense actions must be focused and measured to correspond to risk assessment analysis provided by the business and IT management. That puts IT management at the helm of the information security strategy in public organizations.Request access from your librarian to read this chapter's full text.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».