Remote work was already on the rise before Covid-19 forced many employees to transition to working from home. Today, as many organizations continue to operate remotely due to the pandemic, how can business leaders address the array of security challenges their companies face?

Network security should be top of mind for businesses of all sizes across a variety of industries. While the list of companies experiencing major security breaches in recent years includes some well-known enterprises, addressing security threats is an especially hefty challenge for small businesses—particularly if those businesses lack the resources to implement strong controls and educate staff.

Nsauditor Network Security Auditor is the best network security scanner for auditing and monitoring network computers for possible vulnerabilities. The software checks network computers using all potential methods that a hacker might use to attack it. Nsauditor is a complete networking utilities package for network auditing, scanning, monitoring and more. Nsauditor discovers network services and checks them for vulnerabilities. The software retrieves all TCP and UDP endpoints and shows their associated processes. Nsauditor discovers NetBios names, allows to audit MS SQL servers, scan remote computers for common Adware traces and more. The program also includes real-time network packet filtering and analyzing, remote network performance and network status monitoring, web proxy scanning, password auditing features. Nsauditor has intrusion detection system and firewall system to stop internet threats and block unwanted network connections. Nsauditor includes over 45 network tools for IP address lookup, network scanning, sniffing, enumerating and gaining access to machines, DNS and WHOIS lookups, e-mail validation and HTTP traffic generator. Overall, this is a very complete package for a surprisingly low price. The product contains a built-in database of known network security vulnerabilities, which allows you to select the items for scanning and add custom entries. Nsauditor can reveal and catalog a variety of information, including installed software, shares, users, drives, hotfixes, NetBios, RPC, SQL and SNMP information, open ports. It can also audit password and security policies as well as make a variety of network attack probes, such as stealth port scans, HTTP / CGI server auditing, registry auditing. The program can sniff and use brute-force and dictionary attacks on LM and NTLM password hashes and expose the insecure ones. Nsauditor does OS detection and automatically creates OS fingerprints which are not included in database. Reports can be generated in HTML and XML format.

As more businesses move to the cloud, they are becoming increasingly vulnerable to cloud network security threats. Here are the top three threats and how to avoid them: Data breaches One of the most common and devastating cloud security threats is data breaches. These can occur when hackers gain access to a company’s cloud-based data, …

The Top 3 Cloud Network Security Threats (And How to Avoid Them) Read More »

This research introduces a hybrid honeypot architecture to bolster security within software-defined networks (SDNs). By combining low-interaction and high-interaction honeypots, the proposed solution effectively identifies and mitigates cyber threats, including port scanning and man-in-the-middle attacks. The architecture is structured into multiple modules that focus on detecting open ports using Vilhala honeypots and simulating targeted and random attack scenarios. This hybrid approach enables comprehensive monitoring and detailed packet-level analysis, providing enhanced protection against advanced online threats. The study also conducts a comparative analysis of different attack detection methods using tools like KFSensor and networking shell commands. The results highlight the hybrid honeypot system's efficacy in filtering malicious traffic and detecting security breaches, making it a robust solution for safeguarding SDNs.

1. Founder of Thinkst, Haroon Meer talks with Kim Carter about Network Security. Topics include how attackers are gaining footholds into our networks, moving laterally, and exfilling our precious data, as well as why we care and what software engineers can do about it.

We’ve just added a new ISC2 course, The Systems Security Certified Practitioner. General Outline The broad spectrum of topics included in the SSCP Common Body of Knowledge ensure its relevancy across all disciplines in the field of information security. Successful candidates are competent in the following 7 domains: Access Controls Security Operations and Administration Risk [...]

The Penn State College of IST Distinguished Lecture Series will host Wenke Lee from Georgia Tech at noon on Nov. 18 in E202 Westgate Building at University Park.

With a macrotrend/backdrop of platformization and convergence, the industry is exploring places where identity security, endpoint security, and network security naturally meet.

The post Identity, Endpoint, and Network Security Walk into a Bar appeared first on Gigaom.

SreenivasaRao Jagarlamudi illustrates how Kafka and secure proxies are vital to the future of IoT security, addressing key challenges like data throughput, real-time analytics, and compliance.

IEEE / Institute of Electrical and Electronics Engineers Incorporated

Elaborate measures are taken every day to protect our computer networks – to the tune of an estimated $170 billion a year spent on cyber-security programs and software – yet our biggest vulnerability goes unnoticed and unprotected.

Intentional attacks are only part of the treat to small business network security. A substantial proportion of data disruption is caused inadvertently by team members simply charging their mobile phone on a workplace computer's USB port.

With all the attention and energy devoted to online authentication, the actual, physical points of entry into today's vital data networks and information systems are almost always unguarded.

As long as USB data ports are unguarded, as long as cable connectors can be plugged and unplugged at will, the data networks and information systems on which life today depends will be wide open to viruses, malware, Trojan horses, and ransomware.

Network security has become an area of significant importance more than ever as highlighted by the eye-opening numbers of data breaches, attacks on critical infrastructure, and malware/ransomware/cryptojacker attacks that are reported almost every day. Increasingly, we are relying on networked infrastructure and with the advent of IoT, billions of devices will be connected to the internet, providing attackers with more opportunities to exploit. Traditional machine learning methods have been frequently used in the context of network security. However, such methods are more based on statistical features extracted from sources such as binaries, emails, and packet flows.

On the other hand, recent years witnessed a phenomenal growth in computer vision mainly driven by the advances in the area of convolutional neural networks. At a glance, it is not trivial to see how computer vision methods are related to network security. Nonetheless, there is a significant amount of work that highlighted how methods from computer vision can be applied in network security for detecting attacks or building security solutions. In this paper, we provide a comprehensive survey of such work under three topics; i) phishing attempt detection, ii) malware detection, and iii) traffic anomaly detection. Next, we review a set of such commercial products for which public information is available and explore how computer vision methods are effectively used in those products. Finally, we discuss existing research gaps and future research directions, especially focusing on how network security research community and the industry can leverage the exponential growth of computer vision methods to build much secure networked systems.

This disclosure provides a network security architecture that permits installation of different software security products as virtual machines (VMs). By relying on a standardized data format and communication structure, a general architecture can be created and used to dynamically build and reconfigure interaction between both similar and dissimilar security products. Use of an integration scheme having defined message types and specified query response framework provides for real-time response and easy adaptation for cross-vendor communication. Examples are provided where an intrusion detection system (IDS) can be used to detect network threats based on distributed threat analytics, passing detected threats to other security products (e.g., products with different capabilities from different vendors) to trigger automatic, dynamically configured communication and reaction. A network security provider using this infrastructure can provide hosted or managed boundary security to a diverse set of clients, each on a customized basis.

Methods, devices, and systems that may be used to secure networked devices are provided. One method includes receiving, at a security device, encrypted configuration data from a management server connected to a data network, from packets addressed to a networked device. The method further includes managing, by the security device, packets between the networked device and other devices accessible through a network based upon the configuration data. The method further includes sending, by the security device, a plurality of encrypted heartbeat messages to the management server utilizing an address associated with the networked device as the originating address for packets in which the encrypted heartbeat messages are transmitted.

A network component comprising at least one processor coupled to a memory and configured to exchange security information using a plurality of attributes in a management entity (ME) in an optical network unit (ONU) via an ONU management control interface (OMCI) channel, wherein the attributes provide security features for the ONU and an optical line terminal (OLT). Also included is an apparatus comprising an ONU configured to couple to an OLT and comprising an OMCI ME, wherein the OMCI ME comprises a plurality of attributes that support a plurality of security features for transmissions between the ONU and the OLT, and wherein the attributes are communicated via an OMCI channel between the ONU and the OLT and provide the security features for the ONU and the OLT.

Bro is a powerful network analysis framework that is much different from the typical IDS you may know. While focusing on network security monitoring, Bro provides a comprehensive platform for more general network traffic analysis as well. Well grounded in more than 15 years of research, Bro has successfully bridged the traditional gap between academia and operations since its inception. Today, it is relied upon operationally in particular by many scientific environments for securing their cyber-infrastructure. Bro's user community includes major universities, research labs, supercomputing centers, and open-science communities.

Bro is a powerful network analysis framework that is much different from the typical IDS you may know. While focusing on network security monitoring, Bro provides a comprehensive platform for more general network traffic analysis as well. Well grounded in more than 15 years of research, Bro has successfully bridged the traditional gap between academia and operations since its inception. Today, it is relied upon operationally in particular by many scientific environments for securing their cyber-infrastructure. Bro's user community includes major universities, research labs, supercomputing centers, and open-science communities.

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IEEE / Institute of Electrical and Electronics Engineers Incorporated