As businesses continue to move critical operations online, distributed denial of service (DDoS) attacks are increasing in frequency, sophistication and range of targets. In a 2011 Verisign study, 63 percent of respondents reported experiencing at least one attack that year, while 51 percent reported revenue loss as a result of downtime from the attack. Those numbers are undoubtedly higher today as the size, frequency and complexity of DDoS attacks continue to grow. Mitigation against these types of attacks is challenging and generally requires layered solutions across data centers and the cloud management. The success of these attacks and their ability to damage a company’s infrastructure, revenue and reputation is indicative that many IT managers still haven’t found the right protection formula to proactively mitigate them.
In the event of a distributed denial of service (DDoS) attack or other cyberattack, it is important to have attack analysis, both during and after an attack. Unfortunately, despite the fact that many organizations have made significant investments in analytics tools and expert cybersecurity staff, they often have only minimal visibility into security events. In those situations, security analysts can only react to the threats after the damage has been done, and must sift through reams of unintelligible log data.
More Info: denial of service hacking
In the event of a distributed denial of service (DDoS) attack or other cyberattack, it is important to have attack analysis, both during and after an attack. Unfortunately, despite the fact that many organizations have made significant investments in analytics tools and expert cybersecurity staff, they often have only minimal visibility into security events. In those situations, security analysts can only react to the threats after the damage has been done, and must sift through reams of unintelligible log data.
More Info: denial of service hacking
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